Individual questions in the five prepared C6 evaluation packs. The survey packs reuse existing cases with a new protocol; they are not new respondents.
dd-hv-v1-11021040-2024In Dresden, Ackermannstraße, Gesamtverkehr Patrice-Lumumba-Str. bis Zellescher Weg (station 11021040): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-03096015-2025In Dresden, Alexander-Puschkin-Platz, Gesamtverkehr Erfurter Straße bis Leipziger Str./HN 22 (station 03096015): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-09085050-2023In Dresden, Altenberger Platz, Gesamtverkehr Abzweig/HN 12 bis Enderstr./HN 2 (station 09085050): what heavy-vehicle share did the city's record report for the count on 26.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10113025-2023In Dresden, Altreick, Gesamtverkehr ÖFW 44-Reick bis Mügelner Str. (station 10113025): what heavy-vehicle share did the city's record report for the count on 25.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10026030-2023In Dresden, Altstrehlen, Gesamtverkehr Dohnaer Str. bis An der Christuskirche (station 10026030): what heavy-vehicle share did the city's record report for the count on 07.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-11176070-2025In Dresden, Am Galgenberg, Gesamtverkehr Hohles Tor bis Tögelstr. (station 11176070): what heavy-vehicle share did the city's record report for the count on 20.03.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-00004035-2025In Dresden, Ammonstraße, Gesamtverkehr Güterbahnhofstr. bis Falkenstr. (station 00004035): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10027015-2023In Dresden, An der Christuskirche, Gesamtverkehr Elsa-Brändström-Str. bis Reicker Str. (station 10027015): what heavy-vehicle share did the city's record report for the count on 07.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-11318010-2025In Dresden, An der Malte, Gesamtverkehr OD-Anfang bis AS Heidenau (nördl.Zufahrt) (station 11318010): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10058010-2024In Dresden, An der Pikardie, Gesamtverkehr Karcherallee bis Winterbergstr. (station 10058010): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10104020-2025In Dresden, An der Rennbahn, Gesamtverkehr Georg-Marwitz-Str. bis Breitscheidstr. (station 10104020): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-00001070-2025In Dresden, Antonstraße, Gesamtverkehr Eisenbahnstr. bis Leipziger Str. (station 00001070): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08033070-2023In Dresden, Augsburger Straße, Gesamtverkehr Spenerstr. bis Alemannenstr. (station 08033070): what heavy-vehicle share did the city's record report for the count on 08.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
0%
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-26130031-2024In Dresden, BAB AS Dresden-Wilder Mann, Gesamtverkehr Abfahrt A4-Süd bis Moritzburger Landstr./S 179 (station 26130031): what heavy-vehicle share did the city's record report for the count on 22.08.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10185110-2024In Dresden, Bahnhofstraße, Gesamtverkehr An der Aue bis Putjatinstraße/Brücke 89 (station 10185110): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10056010-2025In Dresden, Basteiplatz, Gesamtverkehr Karcherallee bis Wiener Str. (station 10056010): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-06053250-2025In Dresden, Bautzner Landstraße, Gesamtverkehr WW 4-Weißig/OD-Ende bis Heinrich-Lange-Straße (station 06053250): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-06052310-2025In Dresden, Bautzner Straße, Gesamtverkehr Moritzburg-Pillnitzer Weg bis Bautzner Landstr. (station 06052310): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-08105010-2024In Dresden, Berggartenstraße, Gesamtverkehr Loschwitzer Str. bis Hüblerstr. (station 08105010): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-08109080-2024In Dresden, Bergmannstraße, Gesamtverkehr Prossener Str. bis Hepkeplatz (station 08109080): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-09033060-2023In Dresden, Bertolt-Brecht-Allee, Gesamtverkehr Marie-Stritt-Straße bis Borsbergstr. (station 09033060): what heavy-vehicle share did the city's record report for the count on 26.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-05011010-2023In Dresden, Bischofsplatz, Gesamtverkehr Bischofsweg bis Rudolf-Leonhardt-Str. (station 05011010): what heavy-vehicle share did the city's record report for the count on 14.09.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-06029060-2024In Dresden, Bischofsweg, Gesamtverkehr Alaunstr. bis Görlitzer Str. (station 06029060): what heavy-vehicle share did the city's record report for the count on 28.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
28.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
28.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-08002070-2024In Dresden, Blasewitzer Straße, Gesamtverkehr Mildred-Scheel-Straße bis Schubertstr. (station 08002070): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-05153070-2024In Dresden, Boltenhagener Platz, Gesamtverkehr Platzmitte bis Boltenhagener Str. (station 05153070): what heavy-vehicle share did the city's record report for the count on 06.06.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
06.06.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.06.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-08025020-2025In Dresden, Borsbergstraße, Gesamtverkehr Anton-Graff-Str. bis Krenkelstr. (station 08025020): what heavy-vehicle share did the city's record report for the count on 09.09.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10084040-2025In Dresden, Breitscheidstraße, Gesamtverkehr Sorbenstr. bis Moränenende (station 10084040): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-11053020-2024In Dresden, Caspar-David-Friedrich-Straße, Gesamtverkehr Barlachstaße bis Teplitzer Str. (station 11053020): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-12010030-2024In Dresden, Chemnitzer Straße, Gesamtverkehr Bamberger Str. bis Würzburger Str. (station 12010030): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-09029010-2024In Dresden, Comeniusplatz, Gesamtverkehr Stübelallee bis Fetscherstr. (station 09029010): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-14122020-2024In Dresden, Cossebauder Straße, Gesamtverkehr Mobschatzer Str. bis Grillparzerstr. (station 14122020): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-07002010-2025In Dresden, Elbbrückenstraße, Gesamtverkehr Loschwitzer Brücke bis Körnerplatz (station 07002010): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-09086040-2025In Dresden, Enderstraße, Gesamtverkehr Altseidnitz bis Bodenbacher Str. (station 09086040): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-10340030-2024In Dresden, Enno-Heidebroek-Straße, Gesamtverkehr Kurt-Beyer-Straße bis Seidnitzer Weg (station 10340030): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-08024050-2025In Dresden, Fetscherplatz, Gesamtverkehr Borsbergstr. bis Fetscherstr. (station 08024050): what heavy-vehicle share did the city's record report for the count on 09.09.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-06043060-2025In Dresden, Fischhausstraße, Gesamtverkehr Mathias-Oeder-Str. bis Radeberger Landstraße/OD-A (station 06043060): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-05221080-2025In Dresden, Flughafenstraße, Gesamtverkehr Am Steinacker bis Hermann-Reichelt-Str. (station 05221080): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11016010-2024In Dresden, Franklinstraße, Gesamtverkehr Wiener Str. bis Strehlener Str. (station 11016010): what heavy-vehicle share did the city's record report for the count on 22.08.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11004020-2025In Dresden, Fritz-Foerster-Platz, Gesamtverkehr Platzmitte (4948 059) bis Bergstraße (Süd) (station 11004020): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11096095-2023In Dresden, Gostritzer Straße, Gesamtverkehr Spitzwegstr./ÖFW bis Eutschützer Str. (station 11096095): what heavy-vehicle share did the city's record report for the count on 27.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-04001240-2025In Dresden, Großenhainer Straße, Gesamtverkehr Weinbergstraße bis Neuländer Straße (station 04001240): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00082050-2025In Dresden, Grunaer Straße, Gesamtverkehr Blochmannstr. bis Lennéstr. (station 00082050): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-07001065-2025In Dresden, Grundstraße, Gesamtverkehr Stufenweg bis Steglichstr. (station 07001065): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00009040-2023In Dresden, Güntzstraße, Gesamtverkehr Holbeinstr. bis Dürerstr. (station 00009040): what heavy-vehicle share did the city's record report for the count on 08.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09044040-2024In Dresden, Hepkeplatz, Gesamtverkehr Eibenstocker Str. bis Bergmannstr. (station 09044040): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-05219060-2025In Dresden, Hermann-Reichelt-Straße, Gesamtverkehr Wilhelmine-Reichard-Ring (W) bis Wilhelmine-Reichard-Ring (M) (station 05219060): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12021060-2023In Dresden, Hohe Straße, Gesamtverkehr Eisenstuckstr. bis Nürnberger Str. (station 12021060): what heavy-vehicle share did the city's record report for the count on 26.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-04013020-2024In Dresden, Hubertusplatz, Gesamtverkehr Großenhainer Str. bis Hubertusstr. (station 04013020): what heavy-vehicle share did the city's record report for the count on 10.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-03051010-2023In Dresden, Hubertusstraße, Gesamtverkehr Rehefelder Str. bis Volkersdorfer Str. (station 03051010): what heavy-vehicle share did the city's record report for the count on 27.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11005010-2025In Dresden, Innsbrucker Straße, Gesamtverkehr Bergstraße/OD-A bis Possendorfer Straße (station 11005010): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12067070-2024In Dresden, Karlsruher Straße, Gesamtverkehr Kleinnaundorfer Str. bis Potschappler Str. (station 12067070): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08005085-2025In Dresden, Käthe-Kollwitz-Ufer, Gesamtverkehr ÖW 5 - Altstadt II bis Fetscherstraße/Westrampe (station 08005085): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-06001220-2025In Dresden, Königsbrücker Straße, Gesamtverkehr Hermann-Mende-Str. bis Magazinstr. (station 06001220): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08003020-2024In Dresden, Königsheimplatz, Gesamtverkehr Senefelderstr. bis Forsthausstr. (station 08003020): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00041020-2025In Dresden, Köpckestraße, Gesamtverkehr Sarrasanistr. bis Wiesentorstr. (station 00041020): what heavy-vehicle share did the city's record report for the count on 03.09.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
03.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10153020-2025In Dresden, Langer Weg, Gesamtverkehr Niedersedlitzer Str. bis Spremberger Str./ÖFW (station 10153020): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
8%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-03001100-2025In Dresden, Leipziger Straße, Gesamtverkehr Konkordienstraße bis Rehefelder Straße (station 03001100): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10126020-2024In Dresden, Lohrmannstraße, Gesamtverkehr Lehmannstr. bis Reicker Str. (station 10126020): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08004100-2024In Dresden, Loschwitzer Straße, Gesamtverkehr Karasstr. bis Schillerplatz (station 08004100): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
22%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12178010-2025In Dresden, Löbtauer Brücke, Gesamtverkehr Nossener Brücke bis Brückenrampe (station 12178010): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
8%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-14026050-2025In Dresden, Löbtauer Straße, Gesamtverkehr Wölfnitzstr. bis Fröbelstr. (station 14026050): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09015026-2025In Dresden, Mansfelder Straße, Gesamtverkehr Etha-Richter-Straße bis Haenel-Clauß-Platz (station 09015026): what heavy-vehicle share did the city's record report for the count on 03.12.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
0%
03.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09095060-2024In Dresden, Marienberger Straße, Gesamtverkehr Theodorstr. bis Kipsdorfer Str. (station 09095060): what heavy-vehicle share did the city's record report for the count on 23.04.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
23.04.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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23.04.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-04014020-2025In Dresden, Maxim-Gorki-Straße, Gesamtverkehr Döbelner Str. bis Trachenberger Str. (station 04014020): what heavy-vehicle share did the city's record report for the count on 26.08.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
26.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-14004040-2024In Dresden, Meißner Landstraße, Gesamtverkehr An der Wasserschöpfe bis Alte Meißner Landstraße (station 14004040): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11265030-2025In Dresden, Michaelisstraße, Gesamtverkehr Am Galgenberg bis Dohnaer Str. (station 11265030): what heavy-vehicle share did the city's record report for the count on 20.03.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-04061005-2025In Dresden, Moritzburger Landstraße, Gesamtverkehr Neuländer Straße bis OD-Ende/Station 3978 (station 04061005): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10114030-2025In Dresden, Mügelner Straße, Gesamtverkehr Prohliser Allee bis Moränenende (station 10114030): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12049040-2024In Dresden, Münchner Straße, Gesamtverkehr Helmholtzstr./Bayreuther Str. bis Münchner Platz (station 12049040): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08064020-2023In Dresden, Naumannstraße, Gesamtverkehr Karasstr. bis Angelsteg (station 08064020): what heavy-vehicle share did the city's record report for the count on 12.09.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
12.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08108060-2023In Dresden, Niederwaldplatz, Gesamtverkehr Gustav-Freytag-Str. bis Oehmestr. (station 08108060): what heavy-vehicle share did the city's record report for the count on 27.09.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
27.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08106120-2023In Dresden, Niederwaldstraße, Gesamtverkehr Voglerstr. bis Niederwaldplatz (station 08106120): what heavy-vehicle share did the city's record report for the count on 14.11.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
14.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12055120-2023In Dresden, Nöthnitzer Straße, Gesamtverkehr Zeunerstr./ÖFW bis Bergstr. (station 12055120): what heavy-vehicle share did the city's record report for the count on 07.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12037060-2025In Dresden, Nürnberger Platz, Gesamtverkehr Nürnberger Str. bis Platzmitte (station 12037060): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10339015-2023In Dresden, Otto-Mohr-Straße, Gesamtverkehr An der Schleifscheibe bis Georg-Mehrtens-Str. (station 10339015): what heavy-vehicle share did the city's record report for the count on 25.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11049040-2024In Dresden, Paradiesstraße, Gesamtverkehr Otto-Altenkirch-Str. bis Räcknitzhöhe (station 11049040): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08010030-2023In Dresden, Pfotenhauerstraße, Gesamtverkehr Pfeifferhannsstr. bis Arnoldstr. (station 08010030): what heavy-vehicle share did the city's record report for the count on 16.11.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
16.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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16.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-07005245-2025In Dresden, Pillnitzer Landstraße, Gesamtverkehr Weberweg bis Laubegaster Straße (station 07005245): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00072070-2023In Dresden, Pillnitzer Straße, Gesamtverkehr Pestalozzistraße/ÖFW bis Güntzstr. (station 00072070): what heavy-vehicle share did the city's record report for the count on 08.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09191020-2024In Dresden, Putjatinstraße, Gesamtverkehr Meußlitzer Str. bis Bahnhofstr. (station 09191020): what heavy-vehicle share did the city's record report for the count on 12.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-06161020-2025In Dresden, Radeberger Landstraße, Gesamtverkehr Gänsefuß bis Ullersdorf-Langebrücker Str. (station 06161020): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10044020-2025In Dresden, Rayskistraße, Gesamtverkehr Oskar-Kokoschka-Straße bis Reicker Straße (station 10044020): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-03025060-2023In Dresden, Rehefelder Straße, Gesamtverkehr Leisniger Str. bis Hubertusstr./Barbarastr. (station 03025060): what heavy-vehicle share did the city's record report for the count on 27.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-13016040-2024In Dresden, Reisewitzer Straße, Gesamtverkehr Anton-Weck-Str. bis Bonhoefferplatz (station 13016040): what heavy-vehicle share did the city's record report for the count on 10.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10074020-2024In Dresden, Rennplatzstraße, Gesamtverkehr Rauensteinstr. bis Winterbergstr. (station 10074020): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-07074020-2023In Dresden, Rochwitzer Straße, Gesamtverkehr Bebauungsgrenze/HN 9 bis Gönnsdorfer Str. (station 07074020): what heavy-vehicle share did the city's record report for the count on 14.09.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00014040-2025In Dresden, Rosa-Luxemburg-Platz, Gesamtverkehr Wigardstr./Glacisstr. bis Albertbrücke (station 00014040): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-05256030-2025In Dresden, Rähnitzer Allee, Gesamtverkehr Wilschdorfer Landstraße bis Robert-Bosch-Ring (station 05256030): what heavy-vehicle share did the city's record report for the count on 07.05.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
7%
07.05.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.05.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00011010-2025In Dresden, Sachsenallee, Gesamtverkehr Güntzplatz bis Sachsenplatz (station 00011010): what heavy-vehicle share did the city's record report for the count on 09.09.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09115060-2024In Dresden, Salzburger Straße, Gesamtverkehr Hallstätter Str. bis Am Mitteltännicht (station 09115060): what heavy-vehicle share did the city's record report for the count on 14.03.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
14.03.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.03.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08026130-2023In Dresden, Schandauer Straße, Gesamtverkehr Hofmannstr. bis Ludwig-Hartmann-Str. (station 08026130): what heavy-vehicle share did the city's record report for the count on 13.09.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
13.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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13.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08072010-2025In Dresden, Schillerplatz, Gesamtverkehr Naumannstr. bis Fährgäßchen (station 08072010): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09046060-2024In Dresden, Schlüterstraße, Gesamtverkehr Glashütter Str. bis Schandauer Str. (station 09046060): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-14014070-2024In Dresden, Schäferstraße, Gesamtverkehr Vorwerkstr. bis Waltherstr. (station 14014070): what heavy-vehicle share did the city's record report for the count on 10.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08086070-2023In Dresden, Spenerstraße, Gesamtverkehr Haydnstr. bis Borsbergstr. (station 08086070): what heavy-vehicle share did the city's record report for the count on 26.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11112070-2023In Dresden, Spitzwegstraße, Gesamtverkehr Hochmannweg bis Dohnaer Str. (station 11112070): what heavy-vehicle share did the city's record report for the count on 27.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-00090070-2025In Dresden, St.Petersburger Straße, Gesamtverkehr Abzweig/HN 34 bis Sidonienstr. (station 00090070): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-hv-v1-00008030-2025In Dresden, Straßburger Platz, Gesamtverkehr Lennéstr. bis Stübelallee (station 00008030): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10100090-2023In Dresden, Straße des 17.Juni, Gesamtverkehr Försterlingstr. bis Bahnhofstr. (station 10100090): what heavy-vehicle share did the city's record report for the count on 07.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
7%
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11025060-2023In Dresden, Strehlener Straße, Gesamtverkehr Semperstraße bis Strehlener Platz (station 11025060): what heavy-vehicle share did the city's record report for the count on 07.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
6%
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08023100-2025In Dresden, Striesener Straße, Gesamtverkehr Fetscherplatz bis Fetscherstr. (station 08023100): what heavy-vehicle share did the city's record report for the count on 09.09.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-12180040-2025In Dresden, Stuttgarter Straße, Gesamtverkehr Pforzheimer Str. bis Tübinger Str. (station 12180040): what heavy-vehicle share did the city's record report for the count on 27.08.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
27.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
27.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09001070-2025In Dresden, Stübelallee, Gesamtverkehr Müller-Berset-Str. bis Karcherallee (station 09001070): what heavy-vehicle share did the city's record report for the year 2025? Method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-00069030-2024In Dresden, Terrassenufer, Gesamtverkehr ÖFW 29-Altstadt I bis Steinstr. (station 00069030): what heavy-vehicle share did the city's record report for the count on 30.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08007010-2025In Dresden, Thomas-Müntzer-Platz, Gesamtverkehr Käthe-Kollwitz-Ufer bis ÖFW 11-Altstadt II (station 08007010): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10129065-2023In Dresden, Tornaer Straße, Gesamtverkehr Dohnaer Platz bis Dohnaer Straße (station 10129065): what heavy-vehicle share did the city's record report for the count on 25.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-04009010-2023In Dresden, Trachenberger Platz, Gesamtverkehr Großenhainer Str. /HN 108 bis HN 129 (station 04009010): what heavy-vehicle share did the city's record report for the count on 27.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-11266010-2025In Dresden, Tschirnhausstraße, Gesamtverkehr Dohnaer Str. bis Michaelisstr. (station 11266010): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
5%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-14025030-2025In Dresden, Waltherstraße, Gesamtverkehr Wachsbleichstr. bis Hamburger Str. (station 14025030): what heavy-vehicle share did the city's record report for the count on 10.09.2025? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
7%
10.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10024050-2024In Dresden, Wasaplatz, Gesamtverkehr Caspar-David-Friedrich-Str. bis Lockwitzer Straße (station 10024050): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-14017010-2025In Dresden, Weißeritzstraße, Gesamtverkehr Ostra-Ufer bis Magdeburger Str. (station 14017010): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-01003040-2023In Dresden, Werftstraße, Gesamtverkehr Tauberthstraße bis Washingtonstraße (station 01003040): what heavy-vehicle share did the city's record report for the count on 27.04.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
4%
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-14044080-2024In Dresden, Wernerstraße, Gesamtverkehr Gohliser Str. bis Kesselsdorfer Str. (station 14044080): what heavy-vehicle share did the city's record report for the count on 10.09.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10008060-2025In Dresden, Wiener Straße, Gesamtverkehr ÖFW 49-Altstadt II bis Gellertstr./Franklinstr. (station 10008060): what heavy-vehicle share did the city's record report for the year 2025? Method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-10050170-2024In Dresden, Winterbergstraße, Gesamtverkehr Rennplatzstr. bis Oskar-Röder-Str. (station 10050170): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-08030070-2023In Dresden, Wormser Straße, Gesamtverkehr Spenerstr. bis Alemannenstr. (station 08030070): what heavy-vehicle share did the city's record report for the count on 08.06.2023? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
1%
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-03030050-2024In Dresden, Wurzener Straße, Gesamtverkehr Dahlener Str. bis Leipziger Str. (station 03030050): what heavy-vehicle share did the city's record report for the count on 30.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
2%
30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-hv-v1-09055020-2024In Dresden, Zwinglistraße, Gesamtverkehr Herkulesstr. bis Bodenbacher Str. (station 09055020): what heavy-vehicle share did the city's record report for the count on 29.05.2024? Method: manuelle Zählung. Return a percentage from 0 to 100, not a fraction.
Reference answer:
3%
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-293-1-1In the City of Dresden stop-platform record last modified 24.09.2025 09:57:05, how is Waldschlößchen, platform 1 (ID de:14612:293:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
24.09.2025 09:57:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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24.09.2025 09:57:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-726-0-1In the City of Dresden stop-platform record last modified 20.01.2022 10:45:27, how is Fabrikstraße, platform 1 (ID de:14612:726:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
20.01.2022 10:45:27
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.01.2022 10:45:27
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-789-1-1In the City of Dresden stop-platform record last modified 20.11.2023 13:44:42, how is Gamigstraße, platform 1 (ID de:14612:789:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
20.11.2023 13:44:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.11.2023 13:44:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-312-1-3In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Zellescher Weg, platform 3 (ID de:14612:312:1:3), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-37-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:52:45, how is Postplatz, platform 1 (ID de:14612:37:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
20.08.2025 14:52:45
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.08.2025 14:52:45
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-965-1-RiBodIn the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Liebenauer Straße, platform 2 (ID de:14612:965:1:RiBod), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-974-0-1In the City of Dresden stop-platform record last modified 05.07.2024 12:58:07, how is Heidemühle, platform 1 (ID de:14612:974:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
05.07.2024 12:58:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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05.07.2024 12:58:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-252-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Dorothea-Erxleben-Straße, platform 1 (ID de:14612:252:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-3763-0-1In the City of Dresden stop-platform record last modified 25.10.2024 12:40:14, how is Gönnsdorf Zur Sternwarte, platform 1 (ID de:14612:3763:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.10.2024 12:40:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.10.2024 12:40:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-126-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Breitscheidstraße, platform 2 (ID de:14612:126:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-666-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Fontane-Center, platform 1 (ID de:14612:666:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-610-1-1In the City of Dresden stop-platform record last modified 03.09.2025 15:06:42, how is Klotzsche Infineon, platform 1 (ID de:14612:610:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.09.2025 15:06:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.09.2025 15:06:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-940-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Kastanienstraße, platform 1 (ID de:14612:940:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-160-1-1In the City of Dresden stop-platform record last modified 08.09.2025 09:32:57, how is Westendstraße, platform 1 (ID de:14612:160:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 09:32:57
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.09.2025 09:32:57
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-333-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Coventrystraße, platform 1 (ID de:14612:333:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-594-1-1In the City of Dresden stop-platform record last modified 03.12.2021 13:07:51, how is Pestalozziplatz, platform 1 (ID de:14612:594:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.12.2021 13:07:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.12.2021 13:07:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-696-1-1In the City of Dresden stop-platform record last modified 02.06.2025 07:29:06, how is Bonhoefferplatz, platform 1 (ID de:14612:696:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
02.06.2025 07:29:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
02.06.2025 07:29:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-752-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Münzteichweg, platform 1 (ID de:14612:752:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-506-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Gorbitzer Straße, platform 1 (ID de:14612:506:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-116-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:30:53, how is Mockritzer Straße, platform 1 (ID de:14612:116:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
20.08.2025 14:30:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:30:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-155-1-1In the City of Dresden stop-platform record last modified 20.01.2022 14:49:58, how is Clara-Viebig-Straße, platform 1 (ID de:14612:155:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
20.01.2022 14:49:58
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.01.2022 14:49:58
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-858-0-1In the City of Dresden stop-platform record last modified 25.10.2024 14:07:20, how is Weißig Bergstraße, platform 1 (ID de:14612:858:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
25.10.2024 14:07:20
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.10.2024 14:07:20
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-35-1-1In the City of Dresden stop-platform record last modified 26.10.2022 13:15:09, how is Am Zwingerteich, platform 1 (ID de:14612:35:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
26.10.2022 13:15:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.10.2022 13:15:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-542-1-1In the City of Dresden stop-platform record last modified 25.11.2021 15:44:43, how is Schunckstraße, platform 1 (ID de:14612:542:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.11.2021 15:44:43
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.11.2021 15:44:43
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-3805-0-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Am Steinbruch, platform 1 (ID de:14612:3805:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-292-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Nordstraße, platform 1 (ID de:14612:292:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-3788-1-1In the City of Dresden stop-platform record last modified 02.02.2022 15:50:14, how is Hutbergschule, platform 1 (ID de:14612:3788:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
02.02.2022 15:50:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
02.02.2022 15:50:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-866-0-1In the City of Dresden stop-platform record last modified 03.12.2021 13:04:20, how is Meixstraße, platform 1 (ID de:14612:866:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
03.12.2021 13:04:20
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
03.12.2021 13:04:20
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-119-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:33:54, how is Eugen-Bracht-Straße, platform 1 (ID de:14612:119:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.08.2025 14:33:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.08.2025 14:33:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-833-1-1In the City of Dresden stop-platform record last modified 08.04.2022 09:33:35, how is Rißweg, platform 1 (ID de:14612:833:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.04.2022 09:33:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.04.2022 09:33:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-615-1-1In the City of Dresden stop-platform record last modified 05.09.2025 14:03:53, how is Dörnichtweg, platform 1 (ID de:14612:615:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.09.2025 14:03:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.09.2025 14:03:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-515-1-1In the City of Dresden stop-platform record last modified 08.09.2025 14:15:42, how is Robert-Sterl-Straße, platform 1 (ID de:14612:515:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 14:15:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 14:15:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-218-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Sörnewitzer Straße, platform 1 (ID de:14612:218:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-16-2-11In the City of Dresden stop-platform record last modified 04.09.2025 10:44:00, how is Bahnhof Neustadt, platform 11 (ID de:14612:16:2:11), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
04.09.2025 10:44:00
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
04.09.2025 10:44:00
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-596-1-1In the City of Dresden stop-platform record last modified 25.06.2025 14:11:50, how is Sankt-Pauli-Friedhof, platform 1 (ID de:14612:596:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.06.2025 14:11:50
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.06.2025 14:11:50
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-737-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Babisnauer Straße, platform 1 (ID de:14612:737:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-898-0-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Söbrigen, platform 1 (ID de:14612:898:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-766-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Gerichtsstraße, platform 1 (ID de:14612:766:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-878-1-1In the City of Dresden stop-platform record last modified 08.09.2025 13:54:05, how is An der Obstplantage, platform 1 (ID de:14612:878:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 13:54:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 13:54:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-964-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Bergfelderweg, platform 1 (ID de:14612:964:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-34-1-1In the City of Dresden stop-platform record last modified 10.01.2022 10:21:01, how is Ammonstraße / Budapester Straße, platform 1 (ID de:14612:34:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
10.01.2022 10:21:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
10.01.2022 10:21:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-175-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Birkenhainer Straße, platform 1 (ID de:14612:175:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-952-1-3In the City of Dresden stop-platform record last modified 09.09.2025 08:02:39, how is Prof-Billroth-Straße, platform 3 (ID de:14612:952:1:3), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
09.09.2025 08:02:39
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025 08:02:39
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-477-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Dorotheenstraße, platform 2 (ID de:14612:477:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-470-3-1In the City of Dresden stop-platform record last modified 26.11.2021 09:00:46, how is Haltepunkt Niederwartha, platform 1 (ID de:14612:470:3:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
26.11.2021 09:00:46
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.11.2021 09:00:46
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-507-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Grillparzerstraße, platform 1 (ID de:14612:507:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-797-0-1In the City of Dresden stop-platform record last modified 08.09.2025 09:56:07, how is Lugaer Platz, platform 1 (ID de:14612:797:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
08.09.2025 09:56:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 09:56:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-896-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:07, how is Dampfschiffstraße, platform 1 (ID de:14612:896:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-624-1-1In the City of Dresden stop-platform record last modified 10.10.2024 07:47:09, how is Aachener Straße, platform 1 (ID de:14612:624:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
10.10.2024 07:47:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
10.10.2024 07:47:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-908-1-1In the City of Dresden stop-platform record last modified 05.01.2022 15:01:00, how is An der Galopprennbahn, platform 1 (ID de:14612:908:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.01.2022 15:01:00
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.01.2022 15:01:00
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-301-1-1In the City of Dresden stop-platform record last modified 06.04.2022 16:22:35, how is Grundstraße, platform 1 (ID de:14612:301:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
06.04.2022 16:22:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.04.2022 16:22:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-894-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Bärensteiner Straße, platform 1 (ID de:14612:894:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-821-1-1In the City of Dresden stop-platform record last modified 08.12.2021 09:05:35, how is Tiergartenstraße, platform 1 (ID de:14612:821:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.12.2021 09:05:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.12.2021 09:05:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-587-1-1In the City of Dresden stop-platform record last modified 13.12.2021 15:39:08, how is Bunsenstraße, platform 1 (ID de:14612:587:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
13.12.2021 15:39:08
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
13.12.2021 15:39:08
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-460-1-1In the City of Dresden stop-platform record last modified 26.11.2021 08:39:24, how is Schulstraße, platform 1 (ID de:14612:460:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
26.11.2021 08:39:24
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.11.2021 08:39:24
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-561-0-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Niedergohlis Südstr, platform 2 (ID de:14612:561:0:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
on_demand
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-913-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Vollmarstraße, platform 1 (ID de:14612:913:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-182-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Vorwerkstraße, platform 1 (ID de:14612:182:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-740-1-1In the City of Dresden stop-platform record last modified 05.01.2022 14:40:14, how is Dorfhainer Straße, platform 1 (ID de:14612:740:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.01.2022 14:40:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.01.2022 14:40:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-580-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Altkaditz, platform 1 (ID de:14612:580:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-6683-0-1In the City of Dresden stop-platform record last modified 27.05.2025 11:06:57, how is Borngäßchen, platform 1 (ID de:14612:6683:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
27.05.2025 11:06:57
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
27.05.2025 11:06:57
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-520-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Alberthafen, platform 1 (ID de:14612:520:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-341-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Rudolf-Walther-Straße, platform 1 (ID de:14612:341:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-911-1-1In the City of Dresden stop-platform record last modified 05.09.2025 14:38:54, how is Seidnitzer Weg, platform 1 (ID de:14612:911:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.09.2025 14:38:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.09.2025 14:38:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-874-1-1In the City of Dresden stop-platform record last modified 19.11.2021 14:11:10, how is Altwachwitz, platform 1 (ID de:14612:874:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 14:11:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 14:11:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-295-1-1In the City of Dresden stop-platform record last modified 28.10.2022 10:54:01, how is Wilhelminenstraße, platform 1 (ID de:14612:295:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
28.10.2022 10:54:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
28.10.2022 10:54:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-205-1-7In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Mickten, platform 7 (ID de:14612:205:1:7), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-924-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Krebser Straße Nord, platform 1 (ID de:14612:924:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-998-0-1In the City of Dresden stop-platform record last modified 03.12.2021 12:35:41, how is Am Preßgrund, platform 1 (ID de:14612:998:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
03.12.2021 12:35:41
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
03.12.2021 12:35:41
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-645-1-1In the City of Dresden stop-platform record last modified 03.12.2021 12:34:19, how is Am Olter, platform 1 (ID de:14612:645:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.12.2021 12:34:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
03.12.2021 12:34:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-321-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:45:02, how is Albert-Wolf-Platz, platform 1 (ID de:14612:321:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.08.2025 14:45:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:45:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-671-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Zinnowitzer Straße, platform 1 (ID de:14612:671:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-81-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Comeniusplatz, platform 1 (ID de:14612:81:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-691-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Weidentalstraße, platform 1 (ID de:14612:691:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-772-1-1In the City of Dresden stop-platform record last modified 05.07.2024 12:32:54, how is Tatzberg, platform 1 (ID de:14612:772:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
05.07.2024 12:32:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.07.2024 12:32:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-867-0-1In the City of Dresden stop-platform record last modified 01.07.2025 07:18:15, how is Birkenstraße, platform 1 (ID de:14612:867:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
01.07.2025 07:18:15
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
01.07.2025 07:18:15
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-956-1-1In the City of Dresden stop-platform record last modified 03.12.2021 12:57:20, how is Kelterei, platform 1 (ID de:14612:956:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.12.2021 12:57:20
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
03.12.2021 12:57:20
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-19-1-1In the City of Dresden stop-platform record last modified 26.10.2022 12:56:46, how is Neustädter Markt, platform 1 (ID de:14612:19:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
26.10.2022 12:56:46
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.10.2022 12:56:46
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-846-1-1In the City of Dresden stop-platform record last modified 08.04.2022 09:33:28, how is Kotzschweg, platform 1 (ID de:14612:846:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.04.2022 09:33:28
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.04.2022 09:33:28
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-281-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Industriepark Klotzsche, platform 1 (ID de:14612:281:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-6680-2-1In the City of Dresden stop-platform record last modified 11.01.2022 13:03:55, how is Langebrück Bahnhof, platform 2 (ID de:14612:6680:2:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
11.01.2022 13:03:55
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
11.01.2022 13:03:55
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-6587-0-1In the City of Dresden stop-platform record last modified 08.09.2025 10:36:08, how is Ewald-Kluge-Straße, platform 2 (ID de:14612:6587:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 10:36:08
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 10:36:08
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-6-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:59:09, how is Deutsches Hygiene-Museum, platform 1 (ID de:14612:6:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.08.2025 14:59:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:59:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-509-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Arthur-Weineck-Straße, platform 1 (ID de:14612:509:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-450-2-1In the City of Dresden stop-platform record last modified 26.10.2022 11:07:15, how is Bahnhof Cossebaude, platform 2 (ID de:14612:450:2:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
26.10.2022 11:07:15
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.10.2022 11:07:15
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-793-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:07, how is Urnenstraße, platform 2 (ID de:14612:793:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-6696-0-1In the City of Dresden stop-platform record last modified 21.01.2022 12:13:12, how is Schönborn Am Hofgut, platform 3 (ID de:14612:6696:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
21.01.2022 12:13:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
21.01.2022 12:13:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-44-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Gabelsbergerstraße, platform 1 (ID de:14612:44:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-736-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Bannewitzer Straße, platform 1 (ID de:14612:736:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-844-1-1In the City of Dresden stop-platform record last modified 05.09.2025 09:46:02, how is Malerstraße, platform 1 (ID de:14612:844:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.09.2025 09:46:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.09.2025 09:46:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-89-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Prof.-Ricker-Straße, platform 1 (ID de:14612:89:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-72-1-1In the City of Dresden stop-platform record last modified 22.07.2026 14:42:16, how is Alttolkewitz, platform 1 (ID de:14612:72:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.07.2026 14:42:16
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.07.2026 14:42:16
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-822-1-1In the City of Dresden stop-platform record last modified 27.10.2022 15:30:10, how is Betriebshof Gruna, platform 1 (ID de:14612:822:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
27.10.2022 15:30:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
27.10.2022 15:30:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-885-1-1In the City of Dresden stop-platform record last modified 08.09.2025 10:15:12, how is Dorfplatz Oberpoyritz, platform 1 (ID de:14612:885:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 10:15:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 10:15:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-49-1-1In the City of Dresden stop-platform record last modified 19.11.2021 14:31:11, how is Königsheimplatz, platform 1 (ID de:14612:49:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 14:31:11
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 14:31:11
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-753-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Zschertnitzer Straße, platform 2 (ID de:14612:753:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-947-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Tronitzer Straße, platform 1 (ID de:14612:947:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-6596-0-1In the City of Dresden stop-platform record last modified 10.01.2022 08:07:10, how is Am Hornsberg, platform 2 (ID de:14612:6596:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
10.01.2022 08:07:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
10.01.2022 08:07:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-949-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Am Wiesenrand, platform 2 (ID de:14612:949:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-773-1-1In the City of Dresden stop-platform record last modified 21.10.2022 11:21:36, how is Pfeifferhannsstraße, platform 1 (ID de:14612:773:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
21.10.2022 11:21:36
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
21.10.2022 11:21:36
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-6769-0-1In the City of Dresden stop-platform record last modified 08.09.2025 10:41:42, how is Schänkhübel, platform None (ID de:14612:6769:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
08.09.2025 10:41:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 10:41:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-892-2-1In the City of Dresden stop-platform record last modified 21.01.2026 13:14:22, how is Lengefelder Straße, platform 1 (ID de:14612:892:2:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
21.01.2026 13:14:22
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
21.01.2026 13:14:22
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-944-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Struppener Straße, platform 1 (ID de:14612:944:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-807-1-1In the City of Dresden stop-platform record last modified 25.11.2021 13:48:55, how is Karl-Laux-Straße, platform 1 (ID de:14612:807:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.11.2021 13:48:55
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.11.2021 13:48:55
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-531-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:07, how is Mengsstraße, platform 1 (ID de:14612:531:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-92-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Rottwerndorfer Straße, platform 1 (ID de:14612:92:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-919-2-1In the City of Dresden stop-platform record last modified 15.12.2023 14:36:11, how is S-Bahnhof Dobritz, platform 1 (ID de:14612:919:2:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
15.12.2023 14:36:11
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
15.12.2023 14:36:11
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-206-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Trachauer Straße, platform 1 (ID de:14612:206:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-703-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Frankenbergstraße, platform 1 (ID de:14612:703:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-857-0-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Am Dorfende, platform 1 (ID de:14612:857:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-259-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Tannenstraße, platform 1 (ID de:14612:259:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-817-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Arno-Schellenberg-Straße, platform 2 (ID de:14612:817:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-309-1-1In the City of Dresden stop-platform record last modified 09.09.2025 08:24:19, how is Weberplatz, platform 1 (ID de:14612:309:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
09.09.2025 08:24:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025 08:24:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-709-1-1In the City of Dresden stop-platform record last modified 05.09.2025 13:52:41, how is Dölzschen, platform 1 (ID de:14612:709:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.09.2025 13:52:41
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.09.2025 13:52:41
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-243-1-1In the City of Dresden stop-platform record last modified 21.10.2022 10:46:13, how is Liststraße, platform 1 (ID de:14612:243:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
21.10.2022 10:46:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
21.10.2022 10:46:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-755-1-1In the City of Dresden stop-platform record last modified 06.12.2021 16:06:19, how is Mockritz, platform 1 (ID de:14612:755:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
06.12.2021 16:06:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.12.2021 16:06:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-802-1-2In the City of Dresden stop-platform record last modified 24.10.2022 09:58:33, how is Alnpeckstraße, platform 2 (ID de:14612:802:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
24.10.2022 09:58:33
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
24.10.2022 09:58:33
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-456-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Sonnenleite, platform 1 (ID de:14612:456:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-927-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Reisstraße, platform 1 (ID de:14612:927:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-557-0-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Fehrmannweg, platform 1 (ID de:14612:557:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
on_demand
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-819-1-1In the City of Dresden stop-platform record last modified 03.12.2021 13:19:53, how is Schneebergstraße, platform 1 (ID de:14612:819:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.12.2021 13:19:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
03.12.2021 13:19:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-296-1-1In the City of Dresden stop-platform record last modified 06.04.2022 16:09:13, how is Elbschlösser, platform 1 (ID de:14612:296:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
06.04.2022 16:09:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.04.2022 16:09:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-145-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Bünaustraße, platform 1 (ID de:14612:145:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-156-1-1In the City of Dresden stop-platform record last modified 22.11.2021 11:33:26, how is Würzburger Straße, platform 1 (ID de:14612:156:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
22.11.2021 11:33:26
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 11:33:26
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-63-1-1In the City of Dresden stop-platform record last modified 20.08.2025 15:08:51, how is Mosenstraße, platform 1 (ID de:14612:63:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
20.08.2025 15:08:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.08.2025 15:08:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-200-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Altpieschen, platform 1 (ID de:14612:200:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-3778-1-2In the City of Dresden stop-platform record last modified 08.09.2025 10:51:35, how is Radeberger Straße, platform 2 (ID de:14612:3778:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 10:51:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 10:51:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-3794-0-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Malschendorf, platform 1 (ID de:14612:3794:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-3781-1-1In the City of Dresden stop-platform record last modified 02.02.2022 15:50:45, how is Einkaufszentrum, Weißig, platform 1 (ID de:14612:3781:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
02.02.2022 15:50:45
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
02.02.2022 15:50:45
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-3770-1-1In the City of Dresden stop-platform record last modified 02.02.2022 15:43:58, how is Gasthof, Weißig, platform 1 (ID de:14612:3770:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
02.02.2022 15:43:58
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
02.02.2022 15:43:58
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-82-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Lipsiusstraße, platform 1 (ID de:14612:82:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-704-1-1In the City of Dresden stop-platform record last modified 06.04.2022 11:18:49, how is Dölzschener Straße, platform 1 (ID de:14612:704:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
06.04.2022 11:18:49
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.04.2022 11:18:49
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-628-1-1In the City of Dresden stop-platform record last modified 22.11.2021 12:45:10, how is Neuländer Straße, platform 1 (ID de:14612:628:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
22.11.2021 12:45:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 12:45:10
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-459-1-1In the City of Dresden stop-platform record last modified 26.11.2021 08:31:32, how is Gohliser Weg, platform 1 (ID de:14612:459:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
26.11.2021 08:31:32
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.11.2021 08:31:32
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-421-1-1In the City of Dresden stop-platform record last modified 09.09.2025 09:48:35, how is Ockerwitz, platform 1 (ID de:14612:421:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
09.09.2025 09:48:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025 09:48:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-535-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Mobschatzer Höhe, platform 1 (ID de:14612:535:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-517-1-1In the City of Dresden stop-platform record last modified 07.11.2022 11:01:02, how is Schurichtstraße, platform 1 (ID de:14612:517:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
07.11.2022 11:01:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
07.11.2022 11:01:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-77-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Großglocknerstraße, platform 1 (ID de:14612:77:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-984-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Gondelweg, platform 2 (ID de:14612:984:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-804-1-1In the City of Dresden stop-platform record last modified 25.11.2021 13:35:54, how is Altleubnitz, platform 1 (ID de:14612:804:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.11.2021 13:35:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.11.2021 13:35:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-242-1-1In the City of Dresden stop-platform record last modified 20.11.2023 13:38:09, how is Großenhainer Platz, platform 1 (ID de:14612:242:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.11.2023 13:38:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.11.2023 13:38:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-851-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Elisabethstraße, platform 1 (ID de:14612:851:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-951-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Schönaer Straße, platform 1 (ID de:14612:951:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-635-0-1In the City of Dresden stop-platform record last modified 12.10.2023 08:19:56, how is Robert-Bosch-Ring, platform 1 (ID de:14612:635:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
12.10.2023 08:19:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.10.2023 08:19:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-305-1-1In the City of Dresden stop-platform record last modified 06.04.2022 16:20:25, how is Hegereiterstraße, platform 1 (ID de:14612:305:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
06.04.2022 16:20:25
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.04.2022 16:20:25
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-692-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Heilbronner Straße, platform 1 (ID de:14612:692:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-53-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Kretschmerstraße, platform 1 (ID de:14612:53:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-862-1-1In the City of Dresden stop-platform record last modified 02.02.2022 15:46:33, how is Hornweg, platform 1 (ID de:14612:862:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
02.02.2022 15:46:33
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
02.02.2022 15:46:33
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-6592-0-1In the City of Dresden stop-platform record last modified 10.01.2022 08:50:56, how is Promigberg, platform 1 (ID de:14612:6592:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
10.01.2022 08:50:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
10.01.2022 08:50:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-715-1-1In the City of Dresden stop-platform record last modified 02.06.2025 08:10:50, how is Heidenschanze, platform 1 (ID de:14612:715:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
02.06.2025 08:10:50
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
02.06.2025 08:10:50
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-805-1-1In the City of Dresden stop-platform record last modified 03.12.2021 12:21:13, how is Neuostra, platform 1 (ID de:14612:805:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.12.2021 12:21:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
03.12.2021 12:21:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-816-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Helena-Rott-Straße, platform 1 (ID de:14612:816:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-51-1-1In the City of Dresden stop-platform record last modified 13.09.2024 13:47:12, how is Prellerstraße, platform 1 (ID de:14612:51:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
13.09.2024 13:47:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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13.09.2024 13:47:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-287-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Hans-Oster-Straße, platform 1 (ID de:14612:287:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-36-0-7In the City of Dresden stop-platform record last modified 15.05.2024 07:52:35, how is Hauptbahnhof (Strehlener Straße), platform 7 (ID de:14612:36:0:7), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
15.05.2024 07:52:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
15.05.2024 07:52:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-649-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Altwilschdorf, platform 1 (ID de:14612:649:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-503-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Altomsewitz, platform 2 (ID de:14612:503:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-6685-0-1In the City of Dresden stop-platform record last modified 10.01.2022 15:51:00, how is Lindenhof, platform 2 (ID de:14612:6685:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
10.01.2022 15:51:00
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
10.01.2022 15:51:00
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-213-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Kleestraße, platform None (ID de:14612:213:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-78-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Friedhof Leuben, platform 1 (ID de:14612:78:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-161-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Cämmerswalder Straße, platform 1 (ID de:14612:161:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-461-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:07, how is Talstraße, platform 2 (ID de:14612:461:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-50-1-1In the City of Dresden stop-platform record last modified 22.11.2021 12:37:15, how is Lene-Glatzer-Straße, platform 1 (ID de:14612:50:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 12:37:15
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 12:37:15
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-141-1-1In the City of Dresden stop-platform record last modified 18.08.2025 10:54:51, how is Florastraße, platform 1 (ID de:14612:141:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
18.08.2025 10:54:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
18.08.2025 10:54:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-626-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Wilder-Mann-Straße, platform 1 (ID de:14612:626:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-746-1-1In the City of Dresden stop-platform record last modified 22.11.2021 13:54:51, how is Hermann-Michel-Straße, platform 1 (ID de:14612:746:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
22.11.2021 13:54:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 13:54:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-879-1-1In the City of Dresden stop-platform record last modified 08.09.2025 08:30:46, how is Van-Gogh-Straße, platform 1 (ID de:14612:879:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 08:30:46
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 08:30:46
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-981-1-2In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Keppgrundstraße, platform 2 (ID de:14612:981:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-188-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Flügelweg, platform 1 (ID de:14612:188:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-901-0-1In the City of Dresden stop-platform record last modified 09.09.2025 09:12:12, how is Oehmestraße, platform 1 (ID de:14612:901:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
09.09.2025 09:12:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025 09:12:12
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-463-1-1In the City of Dresden stop-platform record last modified 26.11.2021 09:05:51, how is An den Winkelwiesen (Stauseebad), platform 1 (ID de:14612:463:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
26.11.2021 09:05:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.11.2021 09:05:51
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-948-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Sosaer Straße, platform 1 (ID de:14612:948:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-950-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Putjatinplatz, platform 1 (ID de:14612:950:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-250-1-2In the City of Dresden stop-platform record last modified 25.06.2025 14:25:09, how is Betriebshof Trachenberge, platform 2 (ID de:14612:250:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.06.2025 14:25:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.06.2025 14:25:09
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-834-1-1In the City of Dresden stop-platform record last modified 08.04.2022 09:33:41, how is Steglichstraße, platform 1 (ID de:14612:834:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.04.2022 09:33:41
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.04.2022 09:33:41
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-721-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Agentur für Arbeit, platform 1 (ID de:14612:721:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-10-1-1In the City of Dresden stop-platform record last modified 25.10.2024 08:51:33, how is Sachsenallee, platform 1 (ID de:14612:10:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
25.10.2024 08:51:33
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.10.2024 08:51:33
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-505-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Lise-Meitner-Straße, platform 1 (ID de:14612:505:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-961-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Troppauer Straße, platform 1 (ID de:14612:961:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-127-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:44:14, how is Trattendorfer Straße, platform 1 (ID de:14612:127:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.08.2025 14:44:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:44:14
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-787-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Marie-Wittich-Straße, platform 1 (ID de:14612:787:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-526-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Messering (HALLE 1), platform 1 (ID de:14612:526:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-190-1-1In the City of Dresden stop-platform record last modified 26.11.2021 08:52:32, how is Gottfried-Keller-Straße, platform 1 (ID de:14612:190:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
26.11.2021 08:52:32
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.11.2021 08:52:32
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-113-1-2In the City of Dresden stop-platform record last modified 20.08.2025 14:15:07, how is Querallee, platform 2 (ID de:14612:113:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
20.08.2025 14:15:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:15:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-734-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is Innsbrucker Straße, platform 1 (ID de:14612:734:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-290-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Pulsnitzer Straße, platform 1 (ID de:14612:290:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-893-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Kipsdorfer Straße, platform 1 (ID de:14612:893:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-564-0-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Windmühlenweg, platform 1 (ID de:14612:564:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
on_demand
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-595-1-1In the City of Dresden stop-platform record last modified 25.06.2025 14:08:45, how is Maxim-Gorki-Straße, platform 1 (ID de:14612:595:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.06.2025 14:08:45
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.06.2025 14:08:45
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-764-1-1In the City of Dresden stop-platform record last modified 26.11.2021 12:10:22, how is Hans-Dankner-Straße, platform 1 (ID de:14612:764:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
26.11.2021 12:10:22
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
26.11.2021 12:10:22
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-841-1-1In the City of Dresden stop-platform record last modified 08.04.2022 09:33:38, how is Scharfensteinstraße, platform 1 (ID de:14612:841:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.04.2022 09:33:38
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.04.2022 09:33:38
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-664-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Putbuser Weg, platform 1 (ID de:14612:664:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-511-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:07, how is Heinrich-Zille-Straße, platform 1 (ID de:14612:511:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-124-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:42:17, how is Altreick, platform 1 (ID de:14612:124:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
20.08.2025 14:42:17
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:42:17
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-1025-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Kauscha, platform 1 (ID de:14612:1025:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-928-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Mühlenstraße, platform 1 (ID de:14612:928:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-895-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Kurzer Schritt, platform 1 (ID de:14612:895:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-889-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:04, how is Gasanstaltstraße, platform 1 (ID de:14612:889:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-177-2-1In the City of Dresden stop-platform record last modified 13.09.2024 14:11:53, how is Ockerwitzer Straße, platform 1 (ID de:14612:177:2:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
13.09.2024 14:11:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
13.09.2024 14:11:53
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-131-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Reichenbachstraße, platform 1 (ID de:14612:131:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-917-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Mockethaler Straße, platform 1 (ID de:14612:917:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-29-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:01:38, how is Walpurgisstraße, platform 1 (ID de:14612:29:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.08.2025 14:01:38
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:01:38
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-605-1-2In the City of Dresden stop-platform record last modified 11.09.2025 09:42:49, how is Landesdirektion Sachsen, platform 2 (ID de:14612:605:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
11.09.2025 09:42:49
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
11.09.2025 09:42:49
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-920-1-1In the City of Dresden stop-platform record last modified 24.10.2022 09:08:19, how is Hülße-Gymnasium, platform 1 (ID de:14612:920:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
24.10.2022 09:08:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
24.10.2022 09:08:19
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-861-1-1In the City of Dresden stop-platform record last modified 08.04.2022 09:33:21, how is Cunewalder Straße, platform 1 (ID de:14612:861:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.04.2022 09:33:21
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.04.2022 09:33:21
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-678-1-1In the City of Dresden stop-platform record last modified 09.09.2025 09:54:04, how is Schwimmhalle Klotzsche, platform 1 (ID de:14612:678:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
09.09.2025 09:54:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
09.09.2025 09:54:04
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-11-1-1In the City of Dresden stop-platform record last modified 25.10.2024 08:50:35, how is Rosa-Luxemburg-Platz, platform 1 (ID de:14612:11:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
25.10.2024 08:50:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.10.2024 08:50:35
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-872-1-2In the City of Dresden stop-platform record last modified 05.09.2025 14:45:39, how is Künstlerhaus, platform 2 (ID de:14612:872:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.09.2025 14:45:39
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
05.09.2025 14:45:39
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-311-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Strehlener Platz, platform 1 (ID de:14612:311:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-stop-v1-de-14612-934-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Theilestraße, platform 1 (ID de:14612:934:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-888-1-1In the City of Dresden stop-platform record last modified 08.09.2025 13:28:56, how is Bodemerweg, platform 1 (ID de:14612:888:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.09.2025 13:28:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
08.09.2025 13:28:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-32-1-1In the City of Dresden stop-platform record last modified 20.08.2025 14:03:52, how is Hauptbahnhof Nord, platform 1 (ID de:14612:32:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
20.08.2025 14:03:52
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
20.08.2025 14:03:52
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-441-1-1In the City of Dresden stop-platform record last modified 07.07.2025 13:42:47, how is Podemus, Roitzscher Straße, platform 2 (ID de:14612:441:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
07.07.2025 13:42:47
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.07.2025 13:42:47
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-83-1-1In the City of Dresden stop-platform record last modified 24.10.2022 07:52:13, how is Karcherallee, platform 1 (ID de:14612:83:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
24.10.2022 07:52:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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24.10.2022 07:52:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-6684-0-1In the City of Dresden stop-platform record last modified 10.01.2022 15:51:40, how is Klotzscher Straße, platform 2 (ID de:14612:6684:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
10.01.2022 15:51:40
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.01.2022 15:51:40
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-588-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is ElbePark, platform 1 (ID de:14612:588:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-140-1-1In the City of Dresden stop-platform record last modified 02.06.2025 07:26:13, how is Löbtau Gröbelstraße, platform 1 (ID de:14612:140:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
02.06.2025 07:26:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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02.06.2025 07:26:13
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-153-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Cottaer Straße, platform 1 (ID de:14612:153:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-926-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:01, how is An der Post, platform 1 (ID de:14612:926:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:01
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-567-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Fürstenhainer Straße, platform 1 (ID de:14612:567:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-442-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Zschonergrundmühle, platform 1 (ID de:14612:442:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
on_demand
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-597-1-1In the City of Dresden stop-platform record last modified 04.09.2025 15:20:54, how is Oberauer Straße, platform 1 (ID de:14612:597:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
04.09.2025 15:20:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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04.09.2025 15:20:54
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-712-1-2In the City of Dresden stop-platform record last modified 06.04.2022 13:16:08, how is Neunimptscher Straße, platform 2 (ID de:14612:712:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
06.04.2022 13:16:08
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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06.04.2022 13:16:08
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-545-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:03, how is Martin-Opitz-Straße, platform 1 (ID de:14612:545:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:03
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-832-1-1In the City of Dresden stop-platform record last modified 08.04.2022 09:33:27, how is Körnerplatz, platform 1 (ID de:14612:832:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
08.04.2022 09:33:27
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.04.2022 09:33:27
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-661-1-1In the City of Dresden stop-platform record last modified 11.01.2022 12:19:39, how is Grenzstraße (Bus), platform 1 (ID de:14612:661:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
11.01.2022 12:19:39
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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11.01.2022 12:19:39
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-249-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Trachenberger Platz, platform 1 (ID de:14612:249:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus_and_tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-999-0-1In the City of Dresden stop-platform record last modified 03.12.2021 13:12:42, how is Rockau Am Dorfplatz, platform 1 (ID de:14612:999:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
03.12.2021 13:12:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.12.2021 13:12:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-609-0-1In the City of Dresden stop-platform record last modified 25.06.2025 14:19:07, how is Fabricestraße, platform 1 (ID de:14612:609:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
on_demand
25.06.2025 14:19:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.06.2025 14:19:07
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-980-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:05, how is Eichbergstraße, platform 1 (ID de:14612:980:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:05
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-88-1-1In the City of Dresden stop-platform record last modified 22.11.2021 15:08:42, how is Marienberger Straße, platform 1 (ID de:14612:88:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 15:08:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-267-2-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is S-Bf. Industriegelände, platform 1 (ID de:14612:267:2:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-655-0-1In the City of Dresden stop-platform record last modified 03.02.2022 11:49:56, how is An der Bartlake, platform 1 (ID de:14612:655:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
03.02.2022 11:49:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.02.2022 11:49:56
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-142-1-1In the City of Dresden stop-platform record last modified 22.11.2021 11:30:59, how is Oederaner Straße, platform 1 (ID de:14612:142:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
tram
22.11.2021 11:30:59
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.11.2021 11:30:59
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-803-1-1In the City of Dresden stop-platform record last modified 25.11.2021 13:29:18, how is Dohnaer Straße, platform 1 (ID de:14612:803:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
25.11.2021 13:29:18
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.11.2021 13:29:18
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-868-0-1In the City of Dresden stop-platform record last modified 30.06.2025 08:14:59, how is Kurze Straße, platform 1 (ID de:14612:868:0:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
30.06.2025 08:14:59
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025 08:14:59
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-694-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is Tübinger Straße, platform 1 (ID de:14612:694:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-427-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:06, how is Teichweg, platform 1 (ID de:14612:427:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
regional
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:06
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-912-1-1In the City of Dresden stop-platform record last modified 19.11.2021 13:48:02, how is An der Rennbahn, platform 1 (ID de:14612:912:1:1), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
19.11.2021 13:48:02
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-stop-v1-de-14612-759-1-2In the City of Dresden stop-platform record last modified 05.09.2025 13:44:42, how is Wilhelm-Busch-Straße Ost, platform 2 (ID de:14612:759:1:2), classified by transport mode? Choose one label: bus, tram, regional, bus_and_tram, on_demand. Use the recorded platform category, not temporary diversions or services at neighbouring platforms.
Reference answer:
bus
05.09.2025 13:44:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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05.09.2025 13:44:42
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11021040-2024In Dresden, for Ackermannstraße between Patrice-Lumumba-Str. and Zellescher Weg (counting station 11021040), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5800 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-03096015-2025In Dresden, for Alexander-Puschkin-Platz between Erfurter Straße and Leipziger Str./HN 22 (counting station 03096015), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17800 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09085050-2023In Dresden, for Altenberger Platz between Abzweig/HN 12 and Enderstr./HN 2 (counting station 09085050), what was the daily motor-vehicle count reported by the city for the count on 26.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11600 vehicles/day
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10113025-2023In Dresden, for Altreick between ÖFW 44-Reick and Mügelner Str. (counting station 10113025), what was the daily motor-vehicle count reported by the city for the count on 25.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
9500 vehicles/day
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10026030-2023In Dresden, for Altstrehlen between Dohnaer Str. and An der Christuskirche (counting station 10026030), what was the daily motor-vehicle count reported by the city for the count on 07.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11300 vehicles/day
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-11176070-2025In Dresden, for Am Galgenberg between Hohles Tor and Tögelstr. (counting station 11176070), what was the daily motor-vehicle count reported by the city for the count on 20.03.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7500 vehicles/day
20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-00004035-2025In Dresden, for Ammonstraße between Güterbahnhofstr. and Falkenstr. (counting station 00004035), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
24400 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-10027015-2023In Dresden, for An der Christuskirche between Elsa-Brändström-Str. and Reicker Str. (counting station 10027015), what was the daily motor-vehicle count reported by the city for the count on 07.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11300 vehicles/day
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-11318010-2025In Dresden, for An der Malte between OD-Anfang and AS Heidenau (nördl.Zufahrt) (counting station 11318010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
9200 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-10058010-2024In Dresden, for An der Pikardie between Karcherallee and Winterbergstr. (counting station 10058010), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
16800 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10104020-2025In Dresden, for An der Rennbahn between Georg-Marwitz-Str. and Breitscheidstr. (counting station 10104020), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17600 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-00001070-2025In Dresden, for Antonstraße between Eisenbahnstr. and Leipziger Str. (counting station 00001070), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
16800 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-08033070-2023In Dresden, for Augsburger Straße between Spenerstr. and Alemannenstr. (counting station 08033070), what was the daily motor-vehicle count reported by the city for the count on 08.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
2300 vehicles/day
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-26130031-2024In Dresden, for BAB AS Dresden-Wilder Mann between Abfahrt A4-Süd and Moritzburger Landstr./S 179 (counting station 26130031), what was the daily motor-vehicle count reported by the city for the count on 22.08.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8600 vehicles/day
22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10185110-2024In Dresden, for Bahnhofstraße between An der Aue and Putjatinstraße/Brücke 89 (counting station 10185110), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5900 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10056010-2025In Dresden, for Basteiplatz between Karcherallee and Wiener Str. (counting station 10056010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
14900 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-06053250-2025In Dresden, for Bautzner Landstraße between WW 4-Weißig/OD-Ende and Heinrich-Lange-Straße (counting station 06053250), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
14100 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-06052310-2025In Dresden, for Bautzner Straße between Moritzburg-Pillnitzer Weg and Bautzner Landstr. (counting station 06052310), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
19600 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08105010-2024In Dresden, for Berggartenstraße between Loschwitzer Str. and Hüblerstr. (counting station 08105010), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6900 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08109080-2024In Dresden, for Bergmannstraße between Prossener Str. and Hepkeplatz (counting station 08109080), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7200 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-09033060-2023In Dresden, for Bertolt-Brecht-Allee between Marie-Stritt-Straße and Borsbergstr. (counting station 09033060), what was the daily motor-vehicle count reported by the city for the count on 26.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6400 vehicles/day
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-05011010-2023In Dresden, for Bischofsplatz between Bischofsweg and Rudolf-Leonhardt-Str. (counting station 05011010), what was the daily motor-vehicle count reported by the city for the count on 14.09.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
9600 vehicles/day
14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-06029060-2024In Dresden, for Bischofsweg between Alaunstr. and Görlitzer Str. (counting station 06029060), what was the daily motor-vehicle count reported by the city for the count on 28.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7600 vehicles/day
28.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
28.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-08002070-2024In Dresden, for Blasewitzer Straße between Mildred-Scheel-Straße and Schubertstr. (counting station 08002070), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7700 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-05153070-2024In Dresden, for Boltenhagener Platz between Platzmitte and Boltenhagener Str. (counting station 05153070), what was the daily motor-vehicle count reported by the city for the count on 06.06.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7800 vehicles/day
06.06.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
06.06.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08025020-2025In Dresden, for Borsbergstraße between Anton-Graff-Str. and Krenkelstr. (counting station 08025020), what was the daily motor-vehicle count reported by the city for the count on 09.09.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11800 vehicles/day
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10084040-2025In Dresden, for Breitscheidstraße between Sorbenstr. and Moränenende (counting station 10084040), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17600 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11053020-2024In Dresden, for Caspar-David-Friedrich-Straße between Barlachstaße and Teplitzer Str. (counting station 11053020), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
9800 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12010030-2024In Dresden, for Chemnitzer Straße between Bamberger Str. and Würzburger Str. (counting station 12010030), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
14000 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09029010-2024In Dresden, for Comeniusplatz between Stübelallee and Fetscherstr. (counting station 09029010), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10300 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14122020-2024In Dresden, for Cossebauder Straße between Mobschatzer Str. and Grillparzerstr. (counting station 14122020), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6000 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-07002010-2025In Dresden, for Elbbrückenstraße between Loschwitzer Brücke and Körnerplatz (counting station 07002010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
22000 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09086040-2025In Dresden, for Enderstraße between Altseidnitz and Bodenbacher Str. (counting station 09086040), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17400 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10340030-2024In Dresden, for Enno-Heidebroek-Straße between Kurt-Beyer-Straße and Seidnitzer Weg (counting station 10340030), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7200 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08024050-2025In Dresden, for Fetscherplatz between Borsbergstr. and Fetscherstr. (counting station 08024050), what was the daily motor-vehicle count reported by the city for the count on 09.09.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11800 vehicles/day
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-06043060-2025In Dresden, for Fischhausstraße between Mathias-Oeder-Str. and Radeberger Landstraße/OD-A (counting station 06043060), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
11000 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-05221080-2025In Dresden, for Flughafenstraße between Am Steinacker and Hermann-Reichelt-Str. (counting station 05221080), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
11200 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-11016010-2024In Dresden, for Franklinstraße between Wiener Str. and Strehlener Str. (counting station 11016010), what was the daily motor-vehicle count reported by the city for the count on 22.08.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6000 vehicles/day
22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
22.08.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11004020-2025In Dresden, for Fritz-Foerster-Platz between Platzmitte (4948 059) and Bergstraße (Süd) (counting station 11004020), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
27100 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11096095-2023In Dresden, for Gostritzer Straße between Spitzwegstr./ÖFW and Eutschützer Str. (counting station 11096095), what was the daily motor-vehicle count reported by the city for the count on 27.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
2700 vehicles/day
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-04001240-2025In Dresden, for Großenhainer Straße between Weinbergstraße and Neuländer Straße (counting station 04001240), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
13200 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00082050-2025In Dresden, for Grunaer Straße between Blochmannstr. and Lennéstr. (counting station 00082050), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
19100 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-07001065-2025In Dresden, for Grundstraße between Stufenweg and Steglichstr. (counting station 07001065), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
13900 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00009040-2023In Dresden, for Güntzstraße between Holbeinstr. and Dürerstr. (counting station 00009040), what was the daily motor-vehicle count reported by the city for the count on 08.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
14700 vehicles/day
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09044040-2024In Dresden, for Hepkeplatz between Eibenstocker Str. and Bergmannstr. (counting station 09044040), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7200 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-05219060-2025In Dresden, for Hermann-Reichelt-Straße between Wilhelmine-Reichard-Ring (W) and Wilhelmine-Reichard-Ring (M) (counting station 05219060), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17800 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12021060-2023In Dresden, for Hohe Straße between Eisenstuckstr. and Nürnberger Str. (counting station 12021060), what was the daily motor-vehicle count reported by the city for the count on 26.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
1200 vehicles/day
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-04013020-2024In Dresden, for Hubertusplatz between Großenhainer Str. and Hubertusstr. (counting station 04013020), what was the daily motor-vehicle count reported by the city for the count on 10.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5400 vehicles/day
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-03051010-2023In Dresden, for Hubertusstraße between Rehefelder Str. and Volkersdorfer Str. (counting station 03051010), what was the daily motor-vehicle count reported by the city for the count on 27.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5500 vehicles/day
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11005010-2025In Dresden, for Innsbrucker Straße between Bergstraße/OD-A and Possendorfer Straße (counting station 11005010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
21400 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12067070-2024In Dresden, for Karlsruher Straße between Kleinnaundorfer Str. and Potschappler Str. (counting station 12067070), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
13300 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08005085-2025In Dresden, for Käthe-Kollwitz-Ufer between ÖW 5 - Altstadt II and Fetscherstraße/Westrampe (counting station 08005085), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
14400 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-06001220-2025In Dresden, for Königsbrücker Straße between Hermann-Mende-Str. and Magazinstr. (counting station 06001220), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17700 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08003020-2024In Dresden, for Königsheimplatz between Senefelderstr. and Forsthausstr. (counting station 08003020), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7700 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00041020-2025In Dresden, for Köpckestraße between Sarrasanistr. and Wiesentorstr. (counting station 00041020), what was the daily motor-vehicle count reported by the city for the count on 03.09.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
16600 vehicles/day
03.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10153020-2025In Dresden, for Langer Weg between Niedersedlitzer Str. and Spremberger Str./ÖFW (counting station 10153020), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
18000 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-03001100-2025In Dresden, for Leipziger Straße between Konkordienstraße and Rehefelder Straße (counting station 03001100), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
18300 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10126020-2024In Dresden, for Lohrmannstraße between Lehmannstr. and Reicker Str. (counting station 10126020), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10900 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08004100-2024In Dresden, for Loschwitzer Straße between Karasstr. and Schillerplatz (counting station 08004100), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
1100 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12178010-2025In Dresden, for Löbtauer Brücke between Nossener Brücke and Brückenrampe (counting station 12178010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
21300 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14026050-2025In Dresden, for Löbtauer Straße between Wölfnitzstr. and Fröbelstr. (counting station 14026050), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
15700 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09015026-2025In Dresden, for Mansfelder Straße between Etha-Richter-Straße and Haenel-Clauß-Platz (counting station 09015026), what was the daily motor-vehicle count reported by the city for the count on 03.12.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
1800 vehicles/day
03.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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03.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09095060-2024In Dresden, for Marienberger Straße between Theodorstr. and Kipsdorfer Str. (counting station 09095060), what was the daily motor-vehicle count reported by the city for the count on 23.04.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6200 vehicles/day
23.04.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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23.04.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-04014020-2025In Dresden, for Maxim-Gorki-Straße between Döbelner Str. and Trachenberger Str. (counting station 04014020), what was the daily motor-vehicle count reported by the city for the count on 26.08.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8800 vehicles/day
26.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14004040-2024In Dresden, for Meißner Landstraße between An der Wasserschöpfe and Alte Meißner Landstraße (counting station 14004040), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
25400 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11265030-2025In Dresden, for Michaelisstraße between Am Galgenberg and Dohnaer Str. (counting station 11265030), what was the daily motor-vehicle count reported by the city for the count on 20.03.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11100 vehicles/day
20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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20.03.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-04061005-2025In Dresden, for Moritzburger Landstraße between Neuländer Straße and OD-Ende/Station 3978 (counting station 04061005), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
13200 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10114030-2025In Dresden, for Mügelner Straße between Prohliser Allee and Moränenende (counting station 10114030), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
7000 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12049040-2024In Dresden, for Münchner Straße between Helmholtzstr./Bayreuther Str. and Münchner Platz (counting station 12049040), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8300 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08064020-2023In Dresden, for Naumannstraße between Karasstr. and Angelsteg (counting station 08064020), what was the daily motor-vehicle count reported by the city for the count on 12.09.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
18100 vehicles/day
12.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08108060-2023In Dresden, for Niederwaldplatz between Gustav-Freytag-Str. and Oehmestr. (counting station 08108060), what was the daily motor-vehicle count reported by the city for the count on 27.09.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10300 vehicles/day
27.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08106120-2023In Dresden, for Niederwaldstraße between Voglerstr. and Niederwaldplatz (counting station 08106120), what was the daily motor-vehicle count reported by the city for the count on 14.11.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
2300 vehicles/day
14.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12055120-2023In Dresden, for Nöthnitzer Straße between Zeunerstr./ÖFW and Bergstr. (counting station 12055120), what was the daily motor-vehicle count reported by the city for the count on 07.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6700 vehicles/day
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12037060-2025In Dresden, for Nürnberger Platz between Nürnberger Str. and Platzmitte (counting station 12037060), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
23700 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10339015-2023In Dresden, for Otto-Mohr-Straße between An der Schleifscheibe and Georg-Mehrtens-Str. (counting station 10339015), what was the daily motor-vehicle count reported by the city for the count on 25.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
2600 vehicles/day
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11049040-2024In Dresden, for Paradiesstraße between Otto-Altenkirch-Str. and Räcknitzhöhe (counting station 11049040), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5700 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08010030-2023In Dresden, for Pfotenhauerstraße between Pfeifferhannsstr. and Arnoldstr. (counting station 08010030), what was the daily motor-vehicle count reported by the city for the count on 16.11.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7400 vehicles/day
16.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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16.11.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-07005245-2025In Dresden, for Pillnitzer Landstraße between Weberweg and Laubegaster Straße (counting station 07005245), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
6900 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-00072070-2023In Dresden, for Pillnitzer Straße between Pestalozzistraße/ÖFW and Güntzstr. (counting station 00072070), what was the daily motor-vehicle count reported by the city for the count on 08.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10100 vehicles/day
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09191020-2024In Dresden, for Putjatinstraße between Meußlitzer Str. and Bahnhofstr. (counting station 09191020), what was the daily motor-vehicle count reported by the city for the count on 12.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5900 vehicles/day
12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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12.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-06161020-2025In Dresden, for Radeberger Landstraße between Gänsefuß and Ullersdorf-Langebrücker Str. (counting station 06161020), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
11000 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10044020-2025In Dresden, for Rayskistraße between Oskar-Kokoschka-Straße and Reicker Straße (counting station 10044020), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
14900 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-03025060-2023In Dresden, for Rehefelder Straße between Leisniger Str. and Hubertusstr./Barbarastr. (counting station 03025060), what was the daily motor-vehicle count reported by the city for the count on 27.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5500 vehicles/day
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-13016040-2024In Dresden, for Reisewitzer Straße between Anton-Weck-Str. and Bonhoefferplatz (counting station 13016040), what was the daily motor-vehicle count reported by the city for the count on 10.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6900 vehicles/day
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10074020-2024In Dresden, for Rennplatzstraße between Rauensteinstr. and Winterbergstr. (counting station 10074020), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
11000 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-07074020-2023In Dresden, for Rochwitzer Straße between Bebauungsgrenze/HN 9 and Gönnsdorfer Str. (counting station 07074020), what was the daily motor-vehicle count reported by the city for the count on 14.09.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
2300 vehicles/day
14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00014040-2025In Dresden, for Rosa-Luxemburg-Platz between Wigardstr./Glacisstr. and Albertbrücke (counting station 00014040), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
14400 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-05256030-2025In Dresden, for Rähnitzer Allee between Wilschdorfer Landstraße and Robert-Bosch-Ring (counting station 05256030), what was the daily motor-vehicle count reported by the city for the count on 07.05.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6200 vehicles/day
07.05.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.05.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00011010-2025In Dresden, for Sachsenallee between Güntzplatz and Sachsenplatz (counting station 00011010), what was the daily motor-vehicle count reported by the city for the count on 09.09.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
20300 vehicles/day
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09115060-2024In Dresden, for Salzburger Straße between Hallstätter Str. and Am Mitteltännicht (counting station 09115060), what was the daily motor-vehicle count reported by the city for the count on 14.03.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
4100 vehicles/day
14.03.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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14.03.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08026130-2023In Dresden, for Schandauer Straße between Hofmannstr. and Ludwig-Hartmann-Str. (counting station 08026130), what was the daily motor-vehicle count reported by the city for the count on 13.09.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6500 vehicles/day
13.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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13.09.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08072010-2025In Dresden, for Schillerplatz between Naumannstr. and Fährgäßchen (counting station 08072010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
22000 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
dd-volume-v1-09046060-2024In Dresden, for Schlüterstraße between Glashütter Str. and Schandauer Str. (counting station 09046060), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7200 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14014070-2024In Dresden, for Schäferstraße between Vorwerkstr. and Waltherstr. (counting station 14014070), what was the daily motor-vehicle count reported by the city for the count on 10.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10500 vehicles/day
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08086070-2023In Dresden, for Spenerstraße between Haydnstr. and Borsbergstr. (counting station 08086070), what was the daily motor-vehicle count reported by the city for the count on 26.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7200 vehicles/day
26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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26.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11112070-2023In Dresden, for Spitzwegstraße between Hochmannweg and Dohnaer Str. (counting station 11112070), what was the daily motor-vehicle count reported by the city for the count on 27.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6500 vehicles/day
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00090070-2025In Dresden, for St.Petersburger Straße between Abzweig/HN 34 and Sidonienstr. (counting station 00090070), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17300 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00008030-2025In Dresden, for Straßburger Platz between Lennéstr. and Stübelallee (counting station 00008030), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17600 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10100090-2023In Dresden, for Straße des 17.Juni between Försterlingstr. and Bahnhofstr. (counting station 10100090), what was the daily motor-vehicle count reported by the city for the count on 07.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10300 vehicles/day
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11025060-2023In Dresden, for Strehlener Straße between Semperstraße and Strehlener Platz (counting station 11025060), what was the daily motor-vehicle count reported by the city for the count on 07.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
4800 vehicles/day
07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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07.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08023100-2025In Dresden, for Striesener Straße between Fetscherplatz and Fetscherstr. (counting station 08023100), what was the daily motor-vehicle count reported by the city for the count on 09.09.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
10200 vehicles/day
09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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09.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-12180040-2025In Dresden, for Stuttgarter Straße between Pforzheimer Str. and Tübinger Str. (counting station 12180040), what was the daily motor-vehicle count reported by the city for the count on 27.08.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8300 vehicles/day
27.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.08.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09001070-2025In Dresden, for Stübelallee between Müller-Berset-Str. and Karcherallee (counting station 09001070), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Traffic Eye Universal (Infrarotdetektor), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
24300 vehicles/day
30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.06.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-00069030-2024In Dresden, for Terrassenufer between ÖFW 29-Altstadt I and Steinstr. (counting station 00069030), what was the daily motor-vehicle count reported by the city for the count on 30.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
21500 vehicles/day
30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08007010-2025In Dresden, for Thomas-Müntzer-Platz between Käthe-Kollwitz-Ufer and ÖFW 11-Altstadt II (counting station 08007010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
14400 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10129065-2023In Dresden, for Tornaer Straße between Dohnaer Platz and Dohnaer Straße (counting station 10129065), what was the daily motor-vehicle count reported by the city for the count on 25.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8200 vehicles/day
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
25.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-04009010-2023In Dresden, for Trachenberger Platz between Großenhainer Str. /HN 108 and HN 129 (counting station 04009010), what was the daily motor-vehicle count reported by the city for the count on 27.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
12600 vehicles/day
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-11266010-2025In Dresden, for Tschirnhausstraße between Dohnaer Str. and Michaelisstr. (counting station 11266010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
17000 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
Source details, protocol & prompt download →
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14025030-2025In Dresden, for Waltherstraße between Wachsbleichstr. and Hamburger Str. (counting station 14025030), what was the daily motor-vehicle count reported by the city for the count on 10.09.2025, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6300 vehicles/day
10.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10024050-2024In Dresden, for Wasaplatz between Caspar-David-Friedrich-Str. and Lockwitzer Straße (counting station 10024050), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
9800 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14017010-2025In Dresden, for Weißeritzstraße between Ostra-Ufer and Magdeburger Str. (counting station 14017010), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
16900 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-01003040-2023In Dresden, for Werftstraße between Tauberthstraße and Washingtonstraße (counting station 01003040), what was the daily motor-vehicle count reported by the city for the count on 27.04.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8200 vehicles/day
27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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27.04.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-14044080-2024In Dresden, for Wernerstraße between Gohliser Str. and Kesselsdorfer Str. (counting station 14044080), what was the daily motor-vehicle count reported by the city for the count on 10.09.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
5800 vehicles/day
10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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10.09.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10008060-2025In Dresden, for Wiener Straße between ÖFW 49-Altstadt II and Gellertstr./Franklinstr. (counting station 10008060), what was the annual mean daily motor-vehicle volume for the year 2025, both directions combined? Measurement method: Pegelzählstelle (Induktionsschleifen), Jahresmittelwert. Return one positive number in motor vehicles per day.
Reference answer:
20400 vehicles/day
31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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31.12.2025
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-10050170-2024In Dresden, for Winterbergstraße between Rennplatzstr. and Oskar-Röder-Str. (counting station 10050170), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
20800 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-08030070-2023In Dresden, for Wormser Straße between Spenerstr. and Alemannenstr. (counting station 08030070), what was the daily motor-vehicle count reported by the city for the count on 08.06.2023, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
6000 vehicles/day
08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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08.06.2023
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-03030050-2024In Dresden, for Wurzener Straße between Dahlener Str. and Leipziger Str. (counting station 03030050), what was the daily motor-vehicle count reported by the city for the count on 30.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
7500 vehicles/day
30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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30.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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dd-volume-v1-09055020-2024In Dresden, for Zwinglistraße between Herkulesstr. and Bodenbacher Str. (counting station 09055020), what was the daily motor-vehicle count reported by the city for the count on 29.05.2024, both directions combined? Measurement method: manuelle Zählung. Return one positive number in motor vehicles per day.
Reference answer:
8600 vehicles/day
29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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29.05.2024
Datenquelle: Landeshauptstadt Dresden, dl-de/by-2-0, opendata.dresden.de · dl-de/by-2-0
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intercity-probability-v2-1A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 100 min; generalized cost 70 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 372 min; generalized cost 71 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 70 dollars. car: cost 10 dollars; waiting 0 min; in-vehicle 180 min; generalized cost 30 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-2A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 68 min; generalized cost 68 dollars. train: cost 31 dollars; waiting 44 min; in-vehicle 354 min; generalized cost 84 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 399 min; generalized cost 85 dollars. car: cost 11 dollars; waiting 0 min; in-vehicle 255 min; generalized cost 50 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-3A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 115 dollars; waiting 69 min; in-vehicle 125 min; generalized cost 129 dollars. train: cost 98 dollars; waiting 34 min; in-vehicle 892 min; generalized cost 195 dollars. bus: cost 53 dollars; waiting 35 min; in-vehicle 882 min; generalized cost 149 dollars. car: cost 23 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 101 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-4A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 49 dollars; waiting 64 min; in-vehicle 68 min; generalized cost 59 dollars. train: cost 26 dollars; waiting 44 min; in-vehicle 354 min; generalized cost 79 dollars. bus: cost 21 dollars; waiting 53 min; in-vehicle 399 min; generalized cost 81 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 180 min; generalized cost 32 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-5A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 60 dollars; waiting 64 min; in-vehicle 144 min; generalized cost 82 dollars. train: cost 32 dollars; waiting 44 min; in-vehicle 404 min; generalized cost 93 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 449 min; generalized cost 94 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 600 min; generalized cost 99 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-6A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 100 min; generalized cost 70 dollars. train: cost 20 dollars; waiting 40 min; in-vehicle 345 min; generalized cost 57 dollars. bus: cost 13 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 58 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 284 min; generalized cost 43 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-7A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 148 dollars; waiting 45 min; in-vehicle 115 min; generalized cost 160 dollars. train: cost 111 dollars; waiting 34 min; in-vehicle 945 min; generalized cost 213 dollars. bus: cost 66 dollars; waiting 35 min; in-vehicle 935 min; generalized cost 167 dollars. car: cost 36 dollars; waiting 0 min; in-vehicle 821 min; generalized cost 125 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-8A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 121 dollars; waiting 69 min; in-vehicle 152 min; generalized cost 137 dollars. train: cost 52 dollars; waiting 34 min; in-vehicle 889 min; generalized cost 149 dollars. bus: cost 50 dollars; waiting 35 min; in-vehicle 879 min; generalized cost 146 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 780 min; generalized cost 135 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-9A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 100 min; generalized cost 70 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 372 min; generalized cost 71 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 70 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 210 min; generalized cost 40 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-10A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 58 dollars; waiting 69 min; in-vehicle 68 min; generalized cost 65 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 357 min; generalized cost 69 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 402 min; generalized cost 68 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 210 min; generalized cost 30 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-11A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 15 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 68 min; generalized cost 68 dollars. train: cost 16 dollars; waiting 44 min; in-vehicle 357 min; generalized cost 70 dollars. bus: cost 13 dollars; waiting 53 min; in-vehicle 402 min; generalized cost 73 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 210 min; generalized cost 36 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-12A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 62 dollars; waiting 64 min; in-vehicle 108 min; generalized cost 79 dollars. train: cost 34 dollars; waiting 44 min; in-vehicle 370 min; generalized cost 90 dollars. bus: cost 28 dollars; waiting 53 min; in-vehicle 415 min; generalized cost 91 dollars. car: cost 6 dollars; waiting 0 min; in-vehicle 250 min; generalized cost 44 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-13A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 45 dollars; waiting 64 min; in-vehicle 114 min; generalized cost 63 dollars. train: cost 24 dollars; waiting 44 min; in-vehicle 378 min; generalized cost 81 dollars. bus: cost 19 dollars; waiting 53 min; in-vehicle 423 min; generalized cost 83 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 240 min; generalized cost 41 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-14A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 94 min; generalized cost 72 dollars. train: cost 31 dollars; waiting 44 min; in-vehicle 360 min; generalized cost 85 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 405 min; generalized cost 86 dollars. car: cost 15 dollars; waiting 0 min; in-vehicle 285 min; generalized cost 58 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-15A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 83 dollars; waiting 64 min; in-vehicle 169 min; generalized cost 109 dollars. train: cost 70 dollars; waiting 44 min; in-vehicle 948 min; generalized cost 214 dollars. bus: cost 47 dollars; waiting 53 min; in-vehicle 938 min; generalized cost 189 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 1200 min; generalized cost 199 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-16A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 127 min; generalized cost 73 dollars. train: cost 19 dollars; waiting 20 min; in-vehicle 325 min; generalized cost 55 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 435 min; generalized cost 72 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 350 min; generalized cost 52 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-17A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 61 dollars; waiting 69 min; in-vehicle 74 min; generalized cost 69 dollars. train: cost 38 dollars; waiting 15 min; in-vehicle 255 min; generalized cost 66 dollars. bus: cost 26 dollars; waiting 35 min; in-vehicle 389 min; generalized cost 68 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 47 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-18A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 67 dollars; waiting 69 min; in-vehicle 86 min; generalized cost 76 dollars. train: cost 21 dollars; waiting 20 min; in-vehicle 300 min; generalized cost 54 dollars. bus: cost 19 dollars; waiting 35 min; in-vehicle 399 min; generalized cost 63 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 327 min; generalized cost 53 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-19A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 148 min; generalized cost 75 dollars. train: cost 18 dollars; waiting 45 min; in-vehicle 305 min; generalized cost 51 dollars. bus: cost 14 dollars; waiting 35 min; in-vehicle 456 min; generalized cost 63 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 427 min; generalized cost 62 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-20A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 72 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 93 min; generalized cost 72 dollars. train: cost 28 dollars; waiting 10 min; in-vehicle 305 min; generalized cost 75 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 346 min; generalized cost 78 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 316 min; generalized cost 57 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-21A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 61 dollars; waiting 69 min; in-vehicle 73 min; generalized cost 69 dollars. train: cost 21 dollars; waiting 20 min; in-vehicle 305 min; generalized cost 54 dollars. bus: cost 15 dollars; waiting 35 min; in-vehicle 395 min; generalized cost 58 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 314 min; generalized cost 47 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-22A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 62 dollars; waiting 64 min; in-vehicle 235 min; generalized cost 98 dollars. train: cost 45 dollars; waiting 45 min; in-vehicle 465 min; generalized cost 116 dollars. bus: cost 17 dollars; waiting 53 min; in-vehicle 623 min; generalized cost 111 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 559 min; generalized cost 98 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-23A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 142 dollars; waiting 90 min; in-vehicle 105 min; generalized cost 153 dollars. train: cost 71 dollars; waiting 34 min; in-vehicle 596 min; generalized cost 136 dollars. bus: cost 32 dollars; waiting 35 min; in-vehicle 590 min; generalized cost 96 dollars. car: cost 33 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 96 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-24A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 120 dollars; waiting 50 min; in-vehicle 110 min; generalized cost 132 dollars. train: cost 70 dollars; waiting 34 min; in-vehicle 596 min; generalized cost 135 dollars. bus: cost 31 dollars; waiting 35 min; in-vehicle 590 min; generalized cost 95 dollars. car: cost 33 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 96 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-25A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 18 thousand dollars. air: cost 85 dollars; waiting 15 min; in-vehicle 65 min; generalized cost 92 dollars. train: cost 15 dollars; waiting 34 min; in-vehicle 361 min; generalized cost 55 dollars. bus: cost 12 dollars; waiting 35 min; in-vehicle 406 min; generalized cost 56 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 296 min; generalized cost 41 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-26A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 85 dollars; waiting 30 min; in-vehicle 140 min; generalized cost 106 dollars. train: cost 90 dollars; waiting 44 min; in-vehicle 928 min; generalized cost 231 dollars. bus: cost 45 dollars; waiting 53 min; in-vehicle 918 min; generalized cost 185 dollars. car: cost 86 dollars; waiting 0 min; in-vehicle 902 min; generalized cost 223 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-27A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 75 dollars; waiting 80 min; in-vehicle 110 min; generalized cost 87 dollars. train: cost 70 dollars; waiting 34 min; in-vehicle 638 min; generalized cost 140 dollars. bus: cost 31 dollars; waiting 35 min; in-vehicle 632 min; generalized cost 100 dollars. car: cost 39 dollars; waiting 0 min; in-vehicle 581 min; generalized cost 102 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-28A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 18 thousand dollars. air: cost 85 dollars; waiting 45 min; in-vehicle 140 min; generalized cost 106 dollars. train: cost 39 dollars; waiting 44 min; in-vehicle 664 min; generalized cost 139 dollars. bus: cost 35 dollars; waiting 53 min; in-vehicle 658 min; generalized cost 135 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 592 min; generalized cost 109 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-29A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 74 dollars; waiting 64 min; in-vehicle 179 min; generalized cost 101 dollars. train: cost 43 dollars; waiting 60 min; in-vehicle 320 min; generalized cost 91 dollars. bus: cost 21 dollars; waiting 53 min; in-vehicle 345 min; generalized cost 74 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 321 min; generalized cost 58 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-30A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 100 min; generalized cost 70 dollars. train: cost 11 dollars; waiting 2 min; in-vehicle 285 min; generalized cost 42 dollars. bus: cost 13 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 58 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 284 min; generalized cost 44 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-31A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 101 min; generalized cost 70 dollars. train: cost 17 dollars; waiting 5 min; in-vehicle 300 min; generalized cost 50 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 420 min; generalized cost 70 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 297 min; generalized cost 45 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-32A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 64 dollars; waiting 69 min; in-vehicle 90 min; generalized cost 73 dollars. train: cost 32 dollars; waiting 15 min; in-vehicle 325 min; generalized cost 67 dollars. bus: cost 29 dollars; waiting 35 min; in-vehicle 405 min; generalized cost 73 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 327 min; generalized cost 54 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-33A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 59 dollars; waiting 64 min; in-vehicle 73 min; generalized cost 70 dollars. train: cost 29 dollars; waiting 45 min; in-vehicle 290 min; generalized cost 73 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 395 min; generalized cost 86 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 314 min; generalized cost 57 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-34A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 62 dollars; waiting 69 min; in-vehicle 66 min; generalized cost 70 dollars. train: cost 31 dollars; waiting 10 min; in-vehicle 295 min; generalized cost 63 dollars. bus: cost 19 dollars; waiting 35 min; in-vehicle 397 min; generalized cost 62 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 307 min; generalized cost 50 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-35A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 132 min; generalized cost 75 dollars. train: cost 15 dollars; waiting 15 min; in-vehicle 330 min; generalized cost 50 dollars. bus: cost 26 dollars; waiting 35 min; in-vehicle 373 min; generalized cost 67 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 309 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-36A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 117 min; generalized cost 73 dollars. train: cost 23 dollars; waiting 10 min; in-vehicle 325 min; generalized cost 58 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 425 min; generalized cost 71 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 307 min; generalized cost 50 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-37A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 62 dollars; waiting 64 min; in-vehicle 184 min; generalized cost 90 dollars. train: cost 24 dollars; waiting 45 min; in-vehicle 360 min; generalized cost 79 dollars. bus: cost 28 dollars; waiting 53 min; in-vehicle 464 min; generalized cost 98 dollars. car: cost 11 dollars; waiting 0 min; in-vehicle 427 min; generalized cost 76 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-38A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 50 dollars; waiting 64 min; in-vehicle 67 min; generalized cost 60 dollars. train: cost 31 dollars; waiting 30 min; in-vehicle 265 min; generalized cost 71 dollars. bus: cost 14 dollars; waiting 53 min; in-vehicle 393 min; generalized cost 73 dollars. car: cost 6 dollars; waiting 0 min; in-vehicle 308 min; generalized cost 53 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-39A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 15 thousand dollars. air: cost 48 dollars; waiting 64 min; in-vehicle 154 min; generalized cost 71 dollars. train: cost 25 dollars; waiting 55 min; in-vehicle 360 min; generalized cost 80 dollars. bus: cost 14 dollars; waiting 53 min; in-vehicle 462 min; generalized cost 84 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 351 min; generalized cost 57 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-40A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 147 dollars; waiting 30 min; in-vehicle 100 min; generalized cost 158 dollars. train: cost 96 dollars; waiting 34 min; in-vehicle 678 min; generalized cost 169 dollars. bus: cost 57 dollars; waiting 35 min; in-vehicle 672 min; generalized cost 130 dollars. car: cost 28 dollars; waiting 0 min; in-vehicle 629 min; generalized cost 96 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-41A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 125 dollars; waiting 75 min; in-vehicle 110 min; generalized cost 137 dollars. train: cost 70 dollars; waiting 34 min; in-vehicle 596 min; generalized cost 135 dollars. bus: cost 31 dollars; waiting 35 min; in-vehicle 590 min; generalized cost 95 dollars. car: cost 24 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 87 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-42A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 152 dollars; waiting 40 min; in-vehicle 95 min; generalized cost 162 dollars. train: cost 73 dollars; waiting 34 min; in-vehicle 600 min; generalized cost 138 dollars. bus: cost 34 dollars; waiting 35 min; in-vehicle 594 min; generalized cost 98 dollars. car: cost 24 dollars; waiting 0 min; in-vehicle 587 min; generalized cost 88 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-43A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 116 dollars; waiting 30 min; in-vehicle 180 min; generalized cost 136 dollars. train: cost 71 dollars; waiting 34 min; in-vehicle 657 min; generalized cost 142 dollars. bus: cost 32 dollars; waiting 35 min; in-vehicle 651 min; generalized cost 102 dollars. car: cost 29 dollars; waiting 0 min; in-vehicle 629 min; generalized cost 97 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-44A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 100 dollars; waiting 40 min; in-vehicle 105 min; generalized cost 116 dollars. train: cost 70 dollars; waiting 44 min; in-vehicle 622 min; generalized cost 165 dollars. bus: cost 31 dollars; waiting 53 min; in-vehicle 616 min; generalized cost 125 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 105 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-45A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 105 dollars; waiting 45 min; in-vehicle 115 min; generalized cost 122 dollars. train: cost 35 dollars; waiting 44 min; in-vehicle 622 min; generalized cost 130 dollars. bus: cost 31 dollars; waiting 53 min; in-vehicle 616 min; generalized cost 125 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 100 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-46A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 106 dollars; waiting 20 min; in-vehicle 190 min; generalized cost 127 dollars. train: cost 72 dollars; waiting 34 min; in-vehicle 659 min; generalized cost 143 dollars. bus: cost 33 dollars; waiting 35 min; in-vehicle 653 min; generalized cost 104 dollars. car: cost 44 dollars; waiting 0 min; in-vehicle 592 min; generalized cost 108 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-47A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 90 dollars; waiting 60 min; in-vehicle 100 min; generalized cost 105 dollars. train: cost 69 dollars; waiting 44 min; in-vehicle 596 min; generalized cost 160 dollars. bus: cost 30 dollars; waiting 53 min; in-vehicle 590 min; generalized cost 120 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 101 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-48A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 48 dollars; waiting 40 min; in-vehicle 115 min; generalized cost 60 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 365 min; generalized cost 70 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 410 min; generalized cost 69 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 308 min; generalized cost 49 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-49A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 69 dollars; waiting 50 min; in-vehicle 85 min; generalized cost 82 dollars. train: cost 16 dollars; waiting 44 min; in-vehicle 344 min; generalized cost 68 dollars. bus: cost 13 dollars; waiting 53 min; in-vehicle 389 min; generalized cost 72 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 52 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-50A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 99 dollars; waiting 75 min; in-vehicle 135 min; generalized cost 114 dollars. train: cost 96 dollars; waiting 34 min; in-vehicle 678 min; generalized cost 169 dollars. bus: cost 57 dollars; waiting 35 min; in-vehicle 672 min; generalized cost 130 dollars. car: cost 29 dollars; waiting 0 min; in-vehicle 629 min; generalized cost 97 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-51A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 64 dollars; waiting 90 min; in-vehicle 155 min; generalized cost 88 dollars. train: cost 74 dollars; waiting 44 min; in-vehicle 678 min; generalized cost 177 dollars. bus: cost 35 dollars; waiting 53 min; in-vehicle 672 min; generalized cost 137 dollars. car: cost 20 dollars; waiting 0 min; in-vehicle 629 min; generalized cost 115 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-52A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 105 dollars; waiting 85 min; in-vehicle 85 min; generalized cost 118 dollars. train: cost 56 dollars; waiting 44 min; in-vehicle 665 min; generalized cost 156 dollars. bus: cost 35 dollars; waiting 53 min; in-vehicle 659 min; generalized cost 135 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 587 min; generalized cost 97 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-53A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 123 min; generalized cost 73 dollars. train: cost 24 dollars; waiting 15 min; in-vehicle 365 min; generalized cost 64 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 430 min; generalized cost 71 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 332 min; generalized cost 49 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-54A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 90 min; generalized cost 72 dollars. train: cost 22 dollars; waiting 30 min; in-vehicle 340 min; generalized cost 74 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 417 min; generalized cost 88 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 334 min; generalized cost 60 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-55A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 45 dollars; waiting 64 min; in-vehicle 73 min; generalized cost 56 dollars. train: cost 22 dollars; waiting 15 min; in-vehicle 290 min; generalized cost 66 dollars. bus: cost 13 dollars; waiting 53 min; in-vehicle 395 min; generalized cost 73 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 314 min; generalized cost 53 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-56A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 108 dollars; waiting 69 min; in-vehicle 170 min; generalized cost 126 dollars. train: cost 31 dollars; waiting 30 min; in-vehicle 875 min; generalized cost 126 dollars. bus: cost 44 dollars; waiting 35 min; in-vehicle 887 min; generalized cost 140 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 884 min; generalized cost 146 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-57A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 110 dollars; waiting 69 min; in-vehicle 249 min; generalized cost 137 dollars. train: cost 22 dollars; waiting 45 min; in-vehicle 890 min; generalized cost 119 dollars. bus: cost 47 dollars; waiting 35 min; in-vehicle 955 min; generalized cost 151 dollars. car: cost 38 dollars; waiting 0 min; in-vehicle 990 min; generalized cost 146 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-58A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 36 thousand dollars. air: cost 115 dollars; waiting 64 min; in-vehicle 138 min; generalized cost 136 dollars. train: cost 44 dollars; waiting 10 min; in-vehicle 830 min; generalized cost 170 dollars. bus: cost 50 dollars; waiting 53 min; in-vehicle 869 min; generalized cost 182 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 862 min; generalized cost 149 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-59A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 117 dollars; waiting 69 min; in-vehicle 147 min; generalized cost 133 dollars. train: cost 59 dollars; waiting 40 min; in-vehicle 790 min; generalized cost 145 dollars. bus: cost 48 dollars; waiting 35 min; in-vehicle 885 min; generalized cost 144 dollars. car: cost 38 dollars; waiting 0 min; in-vehicle 883 min; generalized cost 134 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-60A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 88 dollars; waiting 64 min; in-vehicle 119 min; generalized cost 106 dollars. train: cost 78 dollars; waiting 50 min; in-vehicle 775 min; generalized cost 196 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 840 min; generalized cost 170 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 855 min; generalized cost 146 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-61A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 105 dollars; waiting 69 min; in-vehicle 196 min; generalized cost 126 dollars. train: cost 43 dollars; waiting 40 min; in-vehicle 895 min; generalized cost 140 dollars. bus: cost 44 dollars; waiting 35 min; in-vehicle 919 min; generalized cost 144 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 935 min; generalized cost 152 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-62A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 120 dollars; waiting 64 min; in-vehicle 333 min; generalized cost 170 dollars. train: cost 28 dollars; waiting 25 min; in-vehicle 870 min; generalized cost 160 dollars. bus: cost 52 dollars; waiting 53 min; in-vehicle 890 min; generalized cost 187 dollars. car: cost 38 dollars; waiting 0 min; in-vehicle 921 min; generalized cost 178 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-63A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 103 dollars; waiting 64 min; in-vehicle 146 min; generalized cost 125 dollars. train: cost 36 dollars; waiting 25 min; in-vehicle 875 min; generalized cost 169 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 943 min; generalized cost 186 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 887 min; generalized cost 154 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-64A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 103 dollars; waiting 69 min; in-vehicle 138 min; generalized cost 118 dollars. train: cost 22 dollars; waiting 5 min; in-vehicle 800 min; generalized cost 109 dollars. bus: cost 43 dollars; waiting 35 min; in-vehicle 821 min; generalized cost 132 dollars. car: cost 36 dollars; waiting 0 min; in-vehicle 846 min; generalized cost 128 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-65A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 116 dollars; waiting 64 min; in-vehicle 164 min; generalized cost 141 dollars. train: cost 89 dollars; waiting 75 min; in-vehicle 685 min; generalized cost 193 dollars. bus: cost 47 dollars; waiting 53 min; in-vehicle 875 min; generalized cost 180 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 874 min; generalized cost 152 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-66A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 103 dollars; waiting 69 min; in-vehicle 129 min; generalized cost 117 dollars. train: cost 88 dollars; waiting 34 min; in-vehicle 925 min; generalized cost 189 dollars. bus: cost 30 dollars; waiting 10 min; in-vehicle 790 min; generalized cost 116 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 887 min; generalized cost 146 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-67A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 109 dollars; waiting 64 min; in-vehicle 230 min; generalized cost 144 dollars. train: cost 101 dollars; waiting 44 min; in-vehicle 1104 min; generalized cost 269 dollars. bus: cost 56 dollars; waiting 53 min; in-vehicle 1094 min; generalized cost 222 dollars. car: cost 26 dollars; waiting 0 min; in-vehicle 960 min; generalized cost 172 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-68A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 108 dollars; waiting 69 min; in-vehicle 177 min; generalized cost 127 dollars. train: cost 92 dollars; waiting 34 min; in-vehicle 907 min; generalized cost 191 dollars. bus: cost 39 dollars; waiting 45 min; in-vehicle 850 min; generalized cost 131 dollars. car: cost 52 dollars; waiting 0 min; in-vehicle 865 min; generalized cost 146 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-69A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 92 dollars; waiting 64 min; in-vehicle 161 min; generalized cost 117 dollars. train: cost 73 dollars; waiting 40 min; in-vehicle 792 min; generalized cost 193 dollars. bus: cost 46 dollars; waiting 53 min; in-vehicle 920 min; generalized cost 186 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 887 min; generalized cost 151 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-70A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 119 dollars; waiting 64 min; in-vehicle 161 min; generalized cost 143 dollars. train: cost 75 dollars; waiting 45 min; in-vehicle 765 min; generalized cost 191 dollars. bus: cost 51 dollars; waiting 53 min; in-vehicle 869 min; generalized cost 182 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 898 min; generalized cost 155 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-71A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 109 dollars; waiting 64 min; in-vehicle 190 min; generalized cost 138 dollars. train: cost 24 dollars; waiting 40 min; in-vehicle 399 min; generalized cost 85 dollars. bus: cost 46 dollars; waiting 53 min; in-vehicle 951 min; generalized cost 190 dollars. car: cost 27 dollars; waiting 0 min; in-vehicle 897 min; generalized cost 163 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-72A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 111 dollars; waiting 69 min; in-vehicle 108 min; generalized cost 122 dollars. train: cost 30 dollars; waiting 30 min; in-vehicle 760 min; generalized cost 113 dollars. bus: cost 50 dollars; waiting 35 min; in-vehicle 867 min; generalized cost 144 dollars. car: cost 47 dollars; waiting 0 min; in-vehicle 844 min; generalized cost 139 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-73A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 104 dollars; waiting 69 min; in-vehicle 246 min; generalized cost 131 dollars. train: cost 23 dollars; waiting 25 min; in-vehicle 830 min; generalized cost 113 dollars. bus: cost 45 dollars; waiting 35 min; in-vehicle 1068 min; generalized cost 161 dollars. car: cost 41 dollars; waiting 0 min; in-vehicle 978 min; generalized cost 147 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-74A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 15 thousand dollars. air: cost 104 dollars; waiting 69 min; in-vehicle 200 min; generalized cost 126 dollars. train: cost 23 dollars; waiting 75 min; in-vehicle 835 min; generalized cost 114 dollars. bus: cost 43 dollars; waiting 35 min; in-vehicle 846 min; generalized cost 135 dollars. car: cost 40 dollars; waiting 0 min; in-vehicle 927 min; generalized cost 141 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-75A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 124 dollars; waiting 64 min; in-vehicle 160 min; generalized cost 148 dollars. train: cost 82 dollars; waiting 30 min; in-vehicle 850 min; generalized cost 211 dollars. bus: cost 54 dollars; waiting 53 min; in-vehicle 893 min; generalized cost 189 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 886 min; generalized cost 153 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-76A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 103 dollars; waiting 64 min; in-vehicle 145 min; generalized cost 125 dollars. train: cost 73 dollars; waiting 50 min; in-vehicle 840 min; generalized cost 200 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 892 min; generalized cost 178 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 894 min; generalized cost 186 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-77A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 103 dollars; waiting 69 min; in-vehicle 125 min; generalized cost 116 dollars. train: cost 80 dollars; waiting 30 min; in-vehicle 800 min; generalized cost 167 dollars. bus: cost 42 dollars; waiting 35 min; in-vehicle 844 min; generalized cost 134 dollars. car: cost 38 dollars; waiting 0 min; in-vehicle 861 min; generalized cost 132 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-78A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 113 dollars; waiting 64 min; in-vehicle 163 min; generalized cost 137 dollars. train: cost 51 dollars; waiting 44 min; in-vehicle 948 min; generalized cost 195 dollars. bus: cost 49 dollars; waiting 53 min; in-vehicle 938 min; generalized cost 191 dollars. car: cost 26 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 135 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-79A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 76 dollars; waiting 64 min; in-vehicle 147 min; generalized cost 98 dollars. train: cost 63 dollars; waiting 44 min; in-vehicle 918 min; generalized cost 203 dollars. bus: cost 44 dollars; waiting 53 min; in-vehicle 908 min; generalized cost 182 dollars. car: cost 10 dollars; waiting 0 min; in-vehicle 1440 min; generalized cost 228 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-80A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 108 dollars; waiting 69 min; in-vehicle 163 min; generalized cost 125 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 905 min; generalized cost 187 dollars. bus: cost 43 dollars; waiting 30 min; in-vehicle 785 min; generalized cost 128 dollars. car: cost 35 dollars; waiting 0 min; in-vehicle 879 min; generalized cost 130 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-81A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 127 dollars; waiting 69 min; in-vehicle 193 min; generalized cost 148 dollars. train: cost 109 dollars; waiting 34 min; in-vehicle 888 min; generalized cost 205 dollars. bus: cost 52 dollars; waiting 60 min; in-vehicle 1025 min; generalized cost 163 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 892 min; generalized cost 147 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-82A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 44 dollars; waiting 64 min; in-vehicle 100 min; generalized cost 59 dollars. train: cost 25 dollars; waiting 44 min; in-vehicle 351 min; generalized cost 78 dollars. bus: cost 20 dollars; waiting 53 min; in-vehicle 361 min; generalized cost 75 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 180 min; generalized cost 32 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-83A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 98 min; generalized cost 69 dollars. train: cost 11 dollars; waiting 1 min; in-vehicle 320 min; generalized cost 46 dollars. bus: cost 13 dollars; waiting 35 min; in-vehicle 413 min; generalized cost 57 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 332 min; generalized cost 53 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-84A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 114 min; generalized cost 72 dollars. train: cost 60 dollars; waiting 25 min; in-vehicle 337 min; generalized cost 97 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 423 min; generalized cost 71 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 335 min; generalized cost 44 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-85A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 65 dollars; waiting 25 min; in-vehicle 140 min; generalized cost 86 dollars. train: cost 69 dollars; waiting 44 min; in-vehicle 596 min; generalized cost 160 dollars. bus: cost 30 dollars; waiting 53 min; in-vehicle 590 min; generalized cost 120 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 104 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-86A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 67 min; generalized cost 67 dollars. train: cost 37 dollars; waiting 10 min; in-vehicle 285 min; generalized cost 68 dollars. bus: cost 28 dollars; waiting 35 min; in-vehicle 400 min; generalized cost 72 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 320 min; generalized cost 49 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-87A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 59 dollars; waiting 64 min; in-vehicle 118 min; generalized cost 77 dollars. train: cost 17 dollars; waiting 44 min; in-vehicle 349 min; generalized cost 70 dollars. bus: cost 14 dollars; waiting 53 min; in-vehicle 359 min; generalized cost 68 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 240 min; generalized cost 41 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-88A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 15 thousand dollars. air: cost 61 dollars; waiting 69 min; in-vehicle 72 min; generalized cost 69 dollars. train: cost 18 dollars; waiting 10 min; in-vehicle 305 min; generalized cost 51 dollars. bus: cost 27 dollars; waiting 35 min; in-vehicle 396 min; generalized cost 70 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 332 min; generalized cost 48 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-89A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 59 dollars; waiting 64 min; in-vehicle 118 min; generalized cost 77 dollars. train: cost 32 dollars; waiting 44 min; in-vehicle 349 min; generalized cost 85 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 359 min; generalized cost 80 dollars. car: cost 6 dollars; waiting 0 min; in-vehicle 265 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-90A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 60 dollars; waiting 64 min; in-vehicle 74 min; generalized cost 71 dollars. train: cost 40 dollars; waiting 20 min; in-vehicle 262 min; generalized cost 80 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 389 min; generalized cost 85 dollars. car: cost 10 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 58 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-91A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 44 dollars; waiting 64 min; in-vehicle 93 min; generalized cost 58 dollars. train: cost 30 dollars; waiting 20 min; in-vehicle 291 min; generalized cost 74 dollars. bus: cost 19 dollars; waiting 53 min; in-vehicle 346 min; generalized cost 72 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 316 min; generalized cost 52 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-92A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 58 dollars; waiting 69 min; in-vehicle 124 min; generalized cost 71 dollars. train: cost 30 dollars; waiting 10 min; in-vehicle 340 min; generalized cost 67 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 427 min; generalized cost 71 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 364 min; generalized cost 54 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-93A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 84 dollars; waiting 64 min; in-vehicle 108 min; generalized cost 100 dollars. train: cost 70 dollars; waiting 44 min; in-vehicle 596 min; generalized cost 160 dollars. bus: cost 31 dollars; waiting 53 min; in-vehicle 590 min; generalized cost 120 dollars. car: cost 15 dollars; waiting 0 min; in-vehicle 360 min; generalized cost 70 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-94A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 145 dollars; waiting 30 min; in-vehicle 90 min; generalized cost 158 dollars. train: cost 31 dollars; waiting 44 min; in-vehicle 343 min; generalized cost 83 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 388 min; generalized cost 84 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 296 min; generalized cost 58 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-95A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 121 dollars; waiting 45 min; in-vehicle 100 min; generalized cost 136 dollars. train: cost 92 dollars; waiting 44 min; in-vehicle 926 min; generalized cost 233 dollars. bus: cost 47 dollars; waiting 53 min; in-vehicle 916 min; generalized cost 186 dollars. car: cost 20 dollars; waiting 0 min; in-vehicle 885 min; generalized cost 154 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-96A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 84 dollars; waiting 30 min; in-vehicle 180 min; generalized cost 103 dollars. train: cost 72 dollars; waiting 34 min; in-vehicle 707 min; generalized cost 149 dollars. bus: cost 33 dollars; waiting 35 min; in-vehicle 701 min; generalized cost 109 dollars. car: cost 26 dollars; waiting 0 min; in-vehicle 626 min; generalized cost 94 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-97A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 61 dollars; waiting 69 min; in-vehicle 146 min; generalized cost 77 dollars. train: cost 17 dollars; waiting 34 min; in-vehicle 409 min; generalized cost 61 dollars. bus: cost 31 dollars; waiting 5 min; in-vehicle 300 min; generalized cost 64 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 350 min; generalized cost 51 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-98A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 180 dollars; waiting 45 min; in-vehicle 160 min; generalized cost 197 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 985 min; generalized cost 196 dollars. bus: cost 44 dollars; waiting 35 min; in-vehicle 975 min; generalized cost 150 dollars. car: cost 39 dollars; waiting 0 min; in-vehicle 896 min; generalized cost 136 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-99A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 94 dollars; waiting 64 min; in-vehicle 231 min; generalized cost 129 dollars. train: cost 79 dollars; waiting 44 min; in-vehicle 949 min; generalized cost 223 dollars. bus: cost 32 dollars; waiting 40 min; in-vehicle 1110 min; generalized cost 201 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 942 min; generalized cost 156 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-100A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 92 dollars; waiting 64 min; in-vehicle 203 min; generalized cost 123 dollars. train: cost 77 dollars; waiting 44 min; in-vehicle 961 min; generalized cost 223 dollars. bus: cost 46 dollars; waiting 53 min; in-vehicle 951 min; generalized cost 190 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 780 min; generalized cost 135 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-101A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 111 min; generalized cost 71 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 376 min; generalized cost 72 dollars. bus: cost 25 dollars; waiting 15 min; in-vehicle 360 min; generalized cost 64 dollars. car: cost 23 dollars; waiting 0 min; in-vehicle 351 min; generalized cost 61 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-102A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 75 dollars; waiting 64 min; in-vehicle 153 min; generalized cost 99 dollars. train: cost 64 dollars; waiting 44 min; in-vehicle 900 min; generalized cost 201 dollars. bus: cost 45 dollars; waiting 53 min; in-vehicle 890 min; generalized cost 180 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 122 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-103A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 58 dollars; waiting 69 min; in-vehicle 99 min; generalized cost 68 dollars. train: cost 16 dollars; waiting 34 min; in-vehicle 366 min; generalized cost 55 dollars. bus: cost 13 dollars; waiting 35 min; in-vehicle 411 min; generalized cost 57 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 300 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-104A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 32 thousand dollars. air: cost 110 dollars; waiting 64 min; in-vehicle 153 min; generalized cost 133 dollars. train: cost 91 dollars; waiting 44 min; in-vehicle 874 min; generalized cost 223 dollars. bus: cost 46 dollars; waiting 53 min; in-vehicle 864 min; generalized cost 177 dollars. car: cost 21 dollars; waiting 0 min; in-vehicle 960 min; generalized cost 167 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-105A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 27 thousand dollars. air: cost 108 dollars; waiting 64 min; in-vehicle 187 min; generalized cost 136 dollars. train: cost 90 dollars; waiting 44 min; in-vehicle 932 min; generalized cost 231 dollars. bus: cost 45 dollars; waiting 53 min; in-vehicle 922 min; generalized cost 185 dollars. car: cost 20 dollars; waiting 0 min; in-vehicle 1440 min; generalized cost 238 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-106A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 104 dollars; waiting 69 min; in-vehicle 179 min; generalized cost 123 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 978 min; generalized cost 195 dollars. bus: cost 28 dollars; waiting 30 min; in-vehicle 795 min; generalized cost 114 dollars. car: cost 40 dollars; waiting 0 min; in-vehicle 904 min; generalized cost 138 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-107A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 108 dollars; waiting 69 min; in-vehicle 180 min; generalized cost 128 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 901 min; generalized cost 187 dollars. bus: cost 44 dollars; waiting 35 min; in-vehicle 891 min; generalized cost 141 dollars. car: cost 34 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 112 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-108A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 78 dollars; waiting 64 min; in-vehicle 146 min; generalized cost 100 dollars. train: cost 66 dollars; waiting 44 min; in-vehicle 903 min; generalized cost 203 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 893 min; generalized cost 178 dollars. car: cost 11 dollars; waiting 0 min; in-vehicle 870 min; generalized cost 143 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-109A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 60 dollars; waiting 64 min; in-vehicle 144 min; generalized cost 82 dollars. train: cost 32 dollars; waiting 44 min; in-vehicle 404 min; generalized cost 93 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 449 min; generalized cost 94 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 270 min; generalized cost 49 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-110A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 78 dollars; waiting 64 min; in-vehicle 175 min; generalized cost 105 dollars. train: cost 67 dollars; waiting 44 min; in-vehicle 932 min; generalized cost 208 dollars. bus: cost 44 dollars; waiting 53 min; in-vehicle 922 min; generalized cost 183 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 121 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-111A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 67 dollars; waiting 69 min; in-vehicle 108 min; generalized cost 79 dollars. train: cost 38 dollars; waiting 34 min; in-vehicle 370 min; generalized cost 78 dollars. bus: cost 32 dollars; waiting 35 min; in-vehicle 415 min; generalized cost 77 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 240 min; generalized cost 38 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-112A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 108 dollars; waiting 64 min; in-vehicle 200 min; generalized cost 139 dollars. train: cost 90 dollars; waiting 44 min; in-vehicle 944 min; generalized cost 234 dollars. bus: cost 45 dollars; waiting 53 min; in-vehicle 934 min; generalized cost 187 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 128 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-113A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 108 dollars; waiting 60 min; in-vehicle 80 min; generalized cost 120 dollars. train: cost 32 dollars; waiting 44 min; in-vehicle 344 min; generalized cost 84 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 389 min; generalized cost 85 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 55 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-114A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 58 dollars; waiting 30 min; in-vehicle 90 min; generalized cost 72 dollars. train: cost 32 dollars; waiting 44 min; in-vehicle 506 min; generalized cost 109 dollars. bus: cost 26 dollars; waiting 53 min; in-vehicle 551 min; generalized cost 110 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 402 min; generalized cost 69 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-115A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 69 dollars; waiting 55 min; in-vehicle 115 min; generalized cost 81 dollars. train: cost 43 dollars; waiting 34 min; in-vehicle 392 min; generalized cost 85 dollars. bus: cost 37 dollars; waiting 35 min; in-vehicle 437 min; generalized cost 84 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 268 min; generalized cost 42 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-116A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 66 dollars; waiting 40 min; in-vehicle 105 min; generalized cost 77 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 372 min; generalized cost 71 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 70 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 327 min; generalized cost 54 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-117A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 57 dollars; waiting 69 min; in-vehicle 67 min; generalized cost 65 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 355 min; generalized cost 69 dollars. bus: cost 18 dollars; waiting 40 min; in-vehicle 245 min; generalized cost 45 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 320 min; generalized cost 48 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-118A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 129 dollars; waiting 69 min; in-vehicle 185 min; generalized cost 149 dollars. train: cost 67 dollars; waiting 34 min; in-vehicle 933 min; generalized cost 168 dollars. bus: cost 54 dollars; waiting 20 min; in-vehicle 820 min; generalized cost 143 dollars. car: cost 38 dollars; waiting 0 min; in-vehicle 894 min; generalized cost 135 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-119A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 36 thousand dollars. air: cost 151 dollars; waiting 90 min; in-vehicle 95 min; generalized cost 161 dollars. train: cost 96 dollars; waiting 34 min; in-vehicle 895 min; generalized cost 193 dollars. bus: cost 51 dollars; waiting 35 min; in-vehicle 885 min; generalized cost 147 dollars. car: cost 35 dollars; waiting 0 min; in-vehicle 844 min; generalized cost 127 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-120A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 70 dollars; waiting 10 min; in-vehicle 85 min; generalized cost 80 dollars. train: cost 34 dollars; waiting 34 min; in-vehicle 351 min; generalized cost 72 dollars. bus: cost 28 dollars; waiting 35 min; in-vehicle 396 min; generalized cost 71 dollars. car: cost 22 dollars; waiting 0 min; in-vehicle 307 min; generalized cost 55 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-121A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 75 dollars; waiting 25 min; in-vehicle 100 min; generalized cost 90 dollars. train: cost 15 dollars; waiting 44 min; in-vehicle 348 min; generalized cost 68 dollars. bus: cost 12 dollars; waiting 53 min; in-vehicle 393 min; generalized cost 72 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 290 min; generalized cost 51 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-122A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 110 dollars; waiting 99 min; in-vehicle 260 min; generalized cost 138 dollars. train: cost 92 dollars; waiting 34 min; in-vehicle 934 min; generalized cost 193 dollars. bus: cost 47 dollars; waiting 35 min; in-vehicle 924 min; generalized cost 147 dollars. car: cost 45 dollars; waiting 0 min; in-vehicle 816 min; generalized cost 134 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-123A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 29 thousand dollars. air: cost 94 dollars; waiting 30 min; in-vehicle 195 min; generalized cost 115 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 943 min; generalized cost 191 dollars. bus: cost 44 dollars; waiting 35 min; in-vehicle 933 min; generalized cost 145 dollars. car: cost 58 dollars; waiting 0 min; in-vehicle 912 min; generalized cost 157 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-124A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 95 dollars; waiting 35 min; in-vehicle 155 min; generalized cost 119 dollars. train: cost 45 dollars; waiting 44 min; in-vehicle 930 min; generalized cost 186 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 920 min; generalized cost 183 dollars. car: cost 23 dollars; waiting 0 min; in-vehicle 860 min; generalized cost 153 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-125A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 32 thousand dollars. air: cost 104 dollars; waiting 69 min; in-vehicle 178 min; generalized cost 123 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 992 min; generalized cost 197 dollars. bus: cost 38 dollars; waiting 15 min; in-vehicle 675 min; generalized cost 111 dollars. car: cost 39 dollars; waiting 0 min; in-vehicle 900 min; generalized cost 137 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-126A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 103 dollars; waiting 64 min; in-vehicle 170 min; generalized cost 129 dollars. train: cost 88 dollars; waiting 44 min; in-vehicle 889 min; generalized cost 222 dollars. bus: cost 35 dollars; waiting 30 min; in-vehicle 770 min; generalized cost 152 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 905 min; generalized cost 155 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-127A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 86 dollars; waiting 64 min; in-vehicle 167 min; generalized cost 112 dollars. train: cost 75 dollars; waiting 44 min; in-vehicle 972 min; generalized cost 222 dollars. bus: cost 44 dollars; waiting 53 min; in-vehicle 962 min; generalized cost 190 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 870 min; generalized cost 145 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-128A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 108 dollars; waiting 64 min; in-vehicle 139 min; generalized cost 129 dollars. train: cost 90 dollars; waiting 44 min; in-vehicle 862 min; generalized cost 220 dollars. bus: cost 36 dollars; waiting 30 min; in-vehicle 780 min; generalized cost 154 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 875 min; generalized cost 151 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-129A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 106 min; generalized cost 71 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 372 min; generalized cost 71 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 70 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 300 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-130A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 10 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 124 min; generalized cost 77 dollars. train: cost 35 dollars; waiting 10 min; in-vehicle 380 min; generalized cost 92 dollars. bus: cost 13 dollars; waiting 53 min; in-vehicle 427 min; generalized cost 78 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 364 min; generalized cost 63 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-131A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 107 dollars; waiting 64 min; in-vehicle 153 min; generalized cost 131 dollars. train: cost 89 dollars; waiting 44 min; in-vehicle 880 min; generalized cost 222 dollars. bus: cost 44 dollars; waiting 53 min; in-vehicle 870 min; generalized cost 176 dollars. car: cost 2 dollars; waiting 0 min; in-vehicle 660 min; generalized cost 102 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-132A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 86 dollars; waiting 64 min; in-vehicle 143 min; generalized cost 108 dollars. train: cost 74 dollars; waiting 44 min; in-vehicle 880 min; generalized cost 207 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 870 min; generalized cost 175 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 660 min; generalized cost 116 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-133A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 108 dollars; waiting 69 min; in-vehicle 196 min; generalized cost 129 dollars. train: cost 91 dollars; waiting 34 min; in-vehicle 967 min; generalized cost 196 dollars. bus: cost 35 dollars; waiting 15 min; in-vehicle 935 min; generalized cost 136 dollars. car: cost 38 dollars; waiting 0 min; in-vehicle 903 min; generalized cost 136 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-134A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 103 dollars; waiting 69 min; in-vehicle 149 min; generalized cost 119 dollars. train: cost 45 dollars; waiting 34 min; in-vehicle 892 min; generalized cost 142 dollars. bus: cost 25 dollars; waiting 25 min; in-vehicle 730 min; generalized cost 104 dollars. car: cost 37 dollars; waiting 0 min; in-vehicle 882 min; generalized cost 133 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-135A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 103 dollars; waiting 64 min; in-vehicle 160 min; generalized cost 127 dollars. train: cost 89 dollars; waiting 44 min; in-vehicle 987 min; generalized cost 239 dollars. bus: cost 44 dollars; waiting 53 min; in-vehicle 977 min; generalized cost 192 dollars. car: cost 34 dollars; waiting 0 min; in-vehicle 660 min; generalized cost 134 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-136A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 114 dollars; waiting 64 min; in-vehicle 161 min; generalized cost 138 dollars. train: cost 60 dollars; waiting 44 min; in-vehicle 1031 min; generalized cost 217 dollars. bus: cost 58 dollars; waiting 53 min; in-vehicle 1021 min; generalized cost 213 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 128 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-137A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 107 dollars; waiting 69 min; in-vehicle 150 min; generalized cost 123 dollars. train: cost 91 dollars; waiting 34 min; in-vehicle 914 min; generalized cost 190 dollars. bus: cost 46 dollars; waiting 35 min; in-vehicle 904 min; generalized cost 144 dollars. car: cost 36 dollars; waiting 0 min; in-vehicle 750 min; generalized cost 117 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-138A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 118 dollars; waiting 69 min; in-vehicle 137 min; generalized cost 132 dollars. train: cost 96 dollars; waiting 34 min; in-vehicle 904 min; generalized cost 194 dollars. bus: cost 65 dollars; waiting 5 min; in-vehicle 850 min; generalized cost 157 dollars. car: cost 64 dollars; waiting 0 min; in-vehicle 859 min; generalized cost 157 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-139A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 102 dollars; waiting 69 min; in-vehicle 101 min; generalized cost 113 dollars. train: cost 87 dollars; waiting 34 min; in-vehicle 870 min; generalized cost 182 dollars. bus: cost 35 dollars; waiting 45 min; in-vehicle 800 min; generalized cost 122 dollars. car: cost 35 dollars; waiting 0 min; in-vehicle 825 min; generalized cost 125 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-140A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 85 dollars; waiting 64 min; in-vehicle 101 min; generalized cost 101 dollars. train: cost 73 dollars; waiting 44 min; in-vehicle 870 min; generalized cost 205 dollars. bus: cost 42 dollars; waiting 53 min; in-vehicle 860 min; generalized cost 173 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 600 min; generalized cost 103 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-141A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 107 dollars; waiting 69 min; in-vehicle 158 min; generalized cost 125 dollars. train: cost 61 dollars; waiting 30 min; in-vehicle 780 min; generalized cost 146 dollars. bus: cost 45 dollars; waiting 35 min; in-vehicle 901 min; generalized cost 143 dollars. car: cost 54 dollars; waiting 0 min; in-vehicle 853 min; generalized cost 147 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-142A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 15 thousand dollars. air: cost 113 dollars; waiting 69 min; in-vehicle 244 min; generalized cost 140 dollars. train: cost 67 dollars; waiting 30 min; in-vehicle 845 min; generalized cost 158 dollars. bus: cost 49 dollars; waiting 35 min; in-vehicle 893 min; generalized cost 146 dollars. car: cost 47 dollars; waiting 0 min; in-vehicle 868 min; generalized cost 141 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-143A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 12 thousand dollars. air: cost 84 dollars; waiting 64 min; in-vehicle 215 min; generalized cost 117 dollars. train: cost 37 dollars; waiting 99 min; in-vehicle 885 min; generalized cost 171 dollars. bus: cost 46 dollars; waiting 53 min; in-vehicle 966 min; generalized cost 193 dollars. car: cost 10 dollars; waiting 0 min; in-vehicle 921 min; generalized cost 150 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-144A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 94 dollars; waiting 64 min; in-vehicle 163 min; generalized cost 119 dollars. train: cost 68 dollars; waiting 25 min; in-vehicle 755 min; generalized cost 183 dollars. bus: cost 47 dollars; waiting 53 min; in-vehicle 895 min; generalized cost 183 dollars. car: cost 16 dollars; waiting 0 min; in-vehicle 879 min; generalized cost 149 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-145A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 112 dollars; waiting 69 min; in-vehicle 161 min; generalized cost 129 dollars. train: cost 21 dollars; waiting 15 min; in-vehicle 797 min; generalized cost 108 dollars. bus: cost 45 dollars; waiting 35 min; in-vehicle 876 min; generalized cost 140 dollars. car: cost 47 dollars; waiting 0 min; in-vehicle 852 min; generalized cost 140 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-146A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 6 thousand dollars. air: cost 103 dollars; waiting 69 min; in-vehicle 166 min; generalized cost 121 dollars. train: cost 20 dollars; waiting 45 min; in-vehicle 820 min; generalized cost 109 dollars. bus: cost 43 dollars; waiting 35 min; in-vehicle 836 min; generalized cost 134 dollars. car: cost 35 dollars; waiting 0 min; in-vehicle 886 min; generalized cost 131 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-147A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 107 dollars; waiting 69 min; in-vehicle 152 min; generalized cost 124 dollars. train: cost 33 dollars; waiting 30 min; in-vehicle 755 min; generalized cost 115 dollars. bus: cost 44 dollars; waiting 35 min; in-vehicle 882 min; generalized cost 140 dollars. car: cost 48 dollars; waiting 0 min; in-vehicle 845 min; generalized cost 140 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-148A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 103 dollars; waiting 64 min; in-vehicle 164 min; generalized cost 128 dollars. train: cost 41 dollars; waiting 10 min; in-vehicle 730 min; generalized cost 152 dollars. bus: cost 43 dollars; waiting 53 min; in-vehicle 925 min; generalized cost 183 dollars. car: cost 19 dollars; waiting 0 min; in-vehicle 898 min; generalized cost 155 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-149A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 143 dollars; waiting 64 min; in-vehicle 166 min; generalized cost 168 dollars. train: cost 83 dollars; waiting 10 min; in-vehicle 825 min; generalized cost 208 dollars. bus: cost 70 dollars; waiting 53 min; in-vehicle 896 min; generalized cost 206 dollars. car: cost 50 dollars; waiting 0 min; in-vehicle 911 min; generalized cost 188 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-150A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 94 dollars; waiting 45 min; in-vehicle 270 min; generalized cost 123 dollars. train: cost 91 dollars; waiting 34 min; in-vehicle 916 min; generalized cost 190 dollars. bus: cost 46 dollars; waiting 35 min; in-vehicle 906 min; generalized cost 144 dollars. car: cost 49 dollars; waiting 0 min; in-vehicle 872 min; generalized cost 144 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-151A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 138 dollars; waiting 45 min; in-vehicle 115 min; generalized cost 150 dollars. train: cost 60 dollars; waiting 34 min; in-vehicle 880 min; generalized cost 156 dollars. bus: cost 58 dollars; waiting 35 min; in-vehicle 870 min; generalized cost 153 dollars. car: cost 47 dollars; waiting 0 min; in-vehicle 888 min; generalized cost 143 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-152A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 102 dollars; waiting 60 min; in-vehicle 250 min; generalized cost 129 dollars. train: cost 112 dollars; waiting 34 min; in-vehicle 997 min; generalized cost 220 dollars. bus: cost 67 dollars; waiting 35 min; in-vehicle 952 min; generalized cost 170 dollars. car: cost 43 dollars; waiting 0 min; in-vehicle 971 min; generalized cost 148 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-153A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 151 dollars; waiting 60 min; in-vehicle 255 min; generalized cost 190 dollars. train: cost 91 dollars; waiting 44 min; in-vehicle 941 min; generalized cost 234 dollars. bus: cost 46 dollars; waiting 53 min; in-vehicle 931 min; generalized cost 187 dollars. car: cost 21 dollars; waiting 0 min; in-vehicle 959 min; generalized cost 166 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-154A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 111 dollars; waiting 60 min; in-vehicle 205 min; generalized cost 133 dollars. train: cost 97 dollars; waiting 34 min; in-vehicle 888 min; generalized cost 193 dollars. bus: cost 52 dollars; waiting 35 min; in-vehicle 878 min; generalized cost 147 dollars. car: cost 49 dollars; waiting 0 min; in-vehicle 855 min; generalized cost 142 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-155A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 70 dollars; waiting 60 min; in-vehicle 95 min; generalized cost 93 dollars. train: cost 31 dollars; waiting 44 min; in-vehicle 360 min; generalized cost 85 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 405 min; generalized cost 86 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 335 min; generalized cost 58 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-156A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 74 dollars; waiting 45 min; in-vehicle 70 min; generalized cost 85 dollars. train: cost 26 dollars; waiting 44 min; in-vehicle 361 min; generalized cost 81 dollars. bus: cost 21 dollars; waiting 53 min; in-vehicle 406 min; generalized cost 82 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 52 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-157A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 165 dollars; waiting 75 min; in-vehicle 180 min; generalized cost 192 dollars. train: cost 98 dollars; waiting 44 min; in-vehicle 967 min; generalized cost 245 dollars. bus: cost 53 dollars; waiting 53 min; in-vehicle 922 min; generalized cost 193 dollars. car: cost 26 dollars; waiting 0 min; in-vehicle 947 min; generalized cost 170 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-158A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 93 dollars; waiting 30 min; in-vehicle 175 min; generalized cost 112 dollars. train: cost 96 dollars; waiting 34 min; in-vehicle 1030 min; generalized cost 208 dollars. bus: cost 51 dollars; waiting 35 min; in-vehicle 1020 min; generalized cost 162 dollars. car: cost 54 dollars; waiting 0 min; in-vehicle 967 min; generalized cost 159 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-159A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 71 dollars; waiting 90 min; in-vehicle 115 min; generalized cost 89 dollars. train: cost 31 dollars; waiting 44 min; in-vehicle 385 min; generalized cost 89 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 430 min; generalized cost 90 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 332 min; generalized cost 57 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-160A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 75 dollars; waiting 45 min; in-vehicle 75 min; generalized cost 96 dollars. train: cost 33 dollars; waiting 44 min; in-vehicle 418 min; generalized cost 96 dollars. bus: cost 28 dollars; waiting 53 min; in-vehicle 463 min; generalized cost 98 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 291 min; generalized cost 49 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-161A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 81 dollars; waiting 60 min; in-vehicle 70 min; generalized cost 89 dollars. train: cost 32 dollars; waiting 34 min; in-vehicle 341 min; generalized cost 69 dollars. bus: cost 26 dollars; waiting 35 min; in-vehicle 386 min; generalized cost 68 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 307 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-162A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 94 dollars; waiting 75 min; in-vehicle 95 min; generalized cost 104 dollars. train: cost 33 dollars; waiting 34 min; in-vehicle 367 min; generalized cost 73 dollars. bus: cost 27 dollars; waiting 35 min; in-vehicle 412 min; generalized cost 72 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 314 min; generalized cost 48 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-163A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 70 dollars; waiting 64 min; in-vehicle 158 min; generalized cost 93 dollars. train: cost 61 dollars; waiting 44 min; in-vehicle 778 min; generalized cost 179 dollars. bus: cost 34 dollars; waiting 53 min; in-vehicle 772 min; generalized cost 151 dollars. car: cost 11 dollars; waiting 0 min; in-vehicle 470 min; generalized cost 82 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-164A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 65 dollars; waiting 64 min; in-vehicle 145 min; generalized cost 87 dollars. train: cost 54 dollars; waiting 44 min; in-vehicle 674 min; generalized cost 156 dollars. bus: cost 33 dollars; waiting 53 min; in-vehicle 668 min; generalized cost 135 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 560 min; generalized cost 93 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-165A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 71 dollars; waiting 64 min; in-vehicle 133 min; generalized cost 91 dollars. train: cost 59 dollars; waiting 44 min; in-vehicle 625 min; generalized cost 153 dollars. bus: cost 32 dollars; waiting 53 min; in-vehicle 619 min; generalized cost 126 dollars. car: cost 8 dollars; waiting 0 min; in-vehicle 510 min; generalized cost 85 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-166A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 81 dollars; waiting 69 min; in-vehicle 139 min; generalized cost 96 dollars. train: cost 71 dollars; waiting 34 min; in-vehicle 698 min; generalized cost 147 dollars. bus: cost 32 dollars; waiting 35 min; in-vehicle 692 min; generalized cost 107 dollars. car: cost 33 dollars; waiting 0 min; in-vehicle 600 min; generalized cost 98 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-167A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 65 dollars; waiting 64 min; in-vehicle 154 min; generalized cost 89 dollars. train: cost 53 dollars; waiting 44 min; in-vehicle 621 min; generalized cost 147 dollars. bus: cost 32 dollars; waiting 53 min; in-vehicle 615 min; generalized cost 125 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 535 min; generalized cost 90 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-168A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 148 min; generalized cost 80 dollars. train: cost 48 dollars; waiting 44 min; in-vehicle 646 min; generalized cost 145 dollars. bus: cost 32 dollars; waiting 53 min; in-vehicle 640 min; generalized cost 129 dollars. car: cost 5 dollars; waiting 0 min; in-vehicle 470 min; generalized cost 76 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-169A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 81 dollars; waiting 69 min; in-vehicle 95 min; generalized cost 91 dollars. train: cost 70 dollars; waiting 34 min; in-vehicle 610 min; generalized cost 136 dollars. bus: cost 31 dollars; waiting 35 min; in-vehicle 604 min; generalized cost 96 dollars. car: cost 30 dollars; waiting 0 min; in-vehicle 440 min; generalized cost 78 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-170A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 71 dollars; waiting 64 min; in-vehicle 145 min; generalized cost 93 dollars. train: cost 59 dollars; waiting 44 min; in-vehicle 658 min; generalized cost 159 dollars. bus: cost 32 dollars; waiting 53 min; in-vehicle 652 min; generalized cost 131 dollars. car: cost 10 dollars; waiting 0 min; in-vehicle 590 min; generalized cost 100 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-171A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 82 dollars; waiting 64 min; in-vehicle 159 min; generalized cost 106 dollars. train: cost 71 dollars; waiting 44 min; in-vehicle 765 min; generalized cost 187 dollars. bus: cost 32 dollars; waiting 53 min; in-vehicle 759 min; generalized cost 147 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 490 min; generalized cost 87 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-172A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 61 dollars; waiting 69 min; in-vehicle 73 min; generalized cost 69 dollars. train: cost 33 dollars; waiting 34 min; in-vehicle 350 min; generalized cost 71 dollars. bus: cost 26 dollars; waiting 50 min; in-vehicle 227 min; generalized cost 51 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 314 min; generalized cost 48 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-173A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 34 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 133 min; generalized cost 74 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 397 min; generalized cost 74 dollars. bus: cost 21 dollars; waiting 15 min; in-vehicle 240 min; generalized cost 47 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 351 min; generalized cost 52 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-174A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 8 thousand dollars. air: cost 81 dollars; waiting 64 min; in-vehicle 129 min; generalized cost 101 dollars. train: cost 35 dollars; waiting 44 min; in-vehicle 677 min; generalized cost 138 dollars. bus: cost 31 dollars; waiting 15 min; in-vehicle 565 min; generalized cost 117 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 588 min; generalized cost 101 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-175A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 117 min; generalized cost 72 dollars. train: cost 32 dollars; waiting 34 min; in-vehicle 397 min; generalized cost 75 dollars. bus: cost 26 dollars; waiting 35 min; in-vehicle 442 min; generalized cost 74 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 180 min; generalized cost 37 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-176A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 32 thousand dollars. air: cost 111 dollars; waiting 69 min; in-vehicle 276 min; generalized cost 141 dollars. train: cost 93 dollars; waiting 34 min; in-vehicle 1047 min; generalized cost 207 dollars. bus: cost 35 dollars; waiting 30 min; in-vehicle 860 min; generalized cost 128 dollars. car: cost 42 dollars; waiting 0 min; in-vehicle 1008 min; generalized cost 151 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-177A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 88 min; generalized cost 68 dollars. train: cost 30 dollars; waiting 34 min; in-vehicle 361 min; generalized cost 70 dollars. bus: cost 21 dollars; waiting 15 min; in-vehicle 295 min; generalized cost 53 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 299 min; generalized cost 45 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-178A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 42 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 114 min; generalized cost 71 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 389 min; generalized cost 73 dollars. bus: cost 21 dollars; waiting 15 min; in-vehicle 243 min; generalized cost 47 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 334 min; generalized cost 49 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-179A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 55 dollars; waiting 90 min; in-vehicle 115 min; generalized cost 72 dollars. train: cost 72 dollars; waiting 44 min; in-vehicle 602 min; generalized cost 163 dollars. bus: cost 33 dollars; waiting 53 min; in-vehicle 596 min; generalized cost 123 dollars. car: cost 24 dollars; waiting 0 min; in-vehicle 589 min; generalized cost 113 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-180A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 87 dollars; waiting 15 min; in-vehicle 110 min; generalized cost 104 dollars. train: cost 31 dollars; waiting 44 min; in-vehicle 348 min; generalized cost 84 dollars. bus: cost 25 dollars; waiting 53 min; in-vehicle 393 min; generalized cost 85 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 320 min; generalized cost 56 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-181A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 62 dollars; waiting 69 min; in-vehicle 76 min; generalized cost 71 dollars. train: cost 39 dollars; waiting 34 min; in-vehicle 377 min; generalized cost 80 dollars. bus: cost 33 dollars; waiting 35 min; in-vehicle 422 min; generalized cost 79 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 300 min; generalized cost 45 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-182A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 121 min; generalized cost 72 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 386 min; generalized cost 73 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 431 min; generalized cost 72 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 270 min; generalized cost 43 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-183A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 51 dollars; waiting 64 min; in-vehicle 90 min; generalized cost 64 dollars. train: cost 61 dollars; waiting 20 min; in-vehicle 350 min; generalized cost 114 dollars. bus: cost 22 dollars; waiting 53 min; in-vehicle 405 min; generalized cost 83 dollars. car: cost 6 dollars; waiting 0 min; in-vehicle 327 min; generalized cost 56 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-184A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 18 thousand dollars. air: cost 64 dollars; waiting 64 min; in-vehicle 215 min; generalized cost 97 dollars. train: cost 41 dollars; waiting 50 min; in-vehicle 420 min; generalized cost 104 dollars. bus: cost 15 dollars; waiting 53 min; in-vehicle 385 min; generalized cost 73 dollars. car: cost 9 dollars; waiting 0 min; in-vehicle 321 min; generalized cost 58 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
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intercity-probability-v2-185A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 74 min; generalized cost 69 dollars. train: cost 21 dollars; waiting 30 min; in-vehicle 295 min; generalized cost 66 dollars. bus: cost 24 dollars; waiting 53 min; in-vehicle 389 min; generalized cost 83 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 55 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-186A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 50 thousand dollars. air: cost 71 dollars; waiting 64 min; in-vehicle 119 min; generalized cost 89 dollars. train: cost 58 dollars; waiting 44 min; in-vehicle 617 min; generalized cost 152 dollars. bus: cost 35 dollars; waiting 15 min; in-vehicle 615 min; generalized cost 128 dollars. car: cost 11 dollars; waiting 0 min; in-vehicle 586 min; generalized cost 100 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
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Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-187A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 50 dollars; waiting 15 min; in-vehicle 75 min; generalized cost 58 dollars. train: cost 15 dollars; waiting 34 min; in-vehicle 361 min; generalized cost 55 dollars. bus: cost 12 dollars; waiting 35 min; in-vehicle 406 min; generalized cost 56 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 47 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-188A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 61 dollars; waiting 10 min; in-vehicle 80 min; generalized cost 73 dollars. train: cost 24 dollars; waiting 44 min; in-vehicle 350 min; generalized cost 77 dollars. bus: cost 19 dollars; waiting 53 min; in-vehicle 395 min; generalized cost 79 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 314 min; generalized cost 52 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-189A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 100 min; generalized cost 70 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 372 min; generalized cost 71 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 417 min; generalized cost 70 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 210 min; generalized cost 36 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-190A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 58 dollars; waiting 69 min; in-vehicle 73 min; generalized cost 66 dollars. train: cost 31 dollars; waiting 34 min; in-vehicle 324 min; generalized cost 66 dollars. bus: cost 25 dollars; waiting 35 min; in-vehicle 334 min; generalized cost 61 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 240 min; generalized cost 44 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-191A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 62 dollars; waiting 69 min; in-vehicle 184 min; generalized cost 82 dollars. train: cost 19 dollars; waiting 34 min; in-vehicle 454 min; generalized cost 68 dollars. bus: cost 16 dollars; waiting 35 min; in-vehicle 464 min; generalized cost 66 dollars. car: cost 18 dollars; waiting 0 min; in-vehicle 225 min; generalized cost 42 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-192A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 30 thousand dollars. air: cost 93 dollars; waiting 30 min; in-vehicle 85 min; generalized cost 102 dollars. train: cost 33 dollars; waiting 34 min; in-vehicle 365 min; generalized cost 72 dollars. bus: cost 27 dollars; waiting 35 min; in-vehicle 410 min; generalized cost 71 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 308 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-193A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 60 thousand dollars. air: cost 76 dollars; waiting 20 min; in-vehicle 95 min; generalized cost 86 dollars. train: cost 33 dollars; waiting 34 min; in-vehicle 344 min; generalized cost 70 dollars. bus: cost 27 dollars; waiting 35 min; in-vehicle 389 min; generalized cost 69 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 315 min; generalized cost 47 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-194A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 100 dollars; waiting 64 min; in-vehicle 190 min; generalized cost 129 dollars. train: cost 49 dollars; waiting 44 min; in-vehicle 678 min; generalized cost 152 dollars. bus: cost 48 dollars; waiting 30 min; in-vehicle 430 min; generalized cost 113 dollars. car: cost 14 dollars; waiting 0 min; in-vehicle 629 min; generalized cost 109 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-195A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 18 thousand dollars. air: cost 48 dollars; waiting 64 min; in-vehicle 63 min; generalized cost 58 dollars. train: cost 21 dollars; waiting 10 min; in-vehicle 255 min; generalized cost 60 dollars. bus: cost 13 dollars; waiting 53 min; in-vehicle 397 min; generalized cost 73 dollars. car: cost 4 dollars; waiting 0 min; in-vehicle 324 min; generalized cost 53 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-196A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 15 thousand dollars. air: cost 58 dollars; waiting 64 min; in-vehicle 93 min; generalized cost 72 dollars. train: cost 30 dollars; waiting 10 min; in-vehicle 315 min; generalized cost 78 dollars. bus: cost 13 dollars; waiting 53 min; in-vehicle 346 min; generalized cost 65 dollars. car: cost 6 dollars; waiting 0 min; in-vehicle 316 min; generalized cost 54 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
train
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-197A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 94 min; generalized cost 69 dollars. train: cost 30 dollars; waiting 34 min; in-vehicle 361 min; generalized cost 70 dollars. bus: cost 24 dollars; waiting 35 min; in-vehicle 406 min; generalized cost 68 dollars. car: cost 10 dollars; waiting 0 min; in-vehicle 270 min; generalized cost 39 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-198A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 111 dollars; waiting 30 min; in-vehicle 105 min; generalized cost 122 dollars. train: cost 71 dollars; waiting 34 min; in-vehicle 596 min; generalized cost 136 dollars. bus: cost 32 dollars; waiting 35 min; in-vehicle 590 min; generalized cost 96 dollars. car: cost 27 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 90 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-199A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 64 dollars; waiting 5 min; in-vehicle 80 min; generalized cost 76 dollars. train: cost 30 dollars; waiting 44 min; in-vehicle 348 min; generalized cost 83 dollars. bus: cost 24 dollars; waiting 53 min; in-vehicle 393 min; generalized cost 84 dollars. car: cost 7 dollars; waiting 0 min; in-vehicle 291 min; generalized cost 51 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-200A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 60 dollars; waiting 5 min; in-vehicle 85 min; generalized cost 73 dollars. train: cost 24 dollars; waiting 44 min; in-vehicle 379 min; generalized cost 81 dollars. bus: cost 19 dollars; waiting 53 min; in-vehicle 424 min; generalized cost 83 dollars. car: cost 3 dollars; waiting 0 min; in-vehicle 337 min; generalized cost 54 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-201A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 26 thousand dollars. air: cost 97 dollars; waiting 64 min; in-vehicle 188 min; generalized cost 125 dollars. train: cost 76 dollars; waiting 44 min; in-vehicle 825 min; generalized cost 201 dollars. bus: cost 38 dollars; waiting 16 min; in-vehicle 810 min; generalized cost 161 dollars. car: cost 15 dollars; waiting 0 min; in-vehicle 803 min; generalized cost 137 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-202A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 35 thousand dollars. air: cost 91 dollars; waiting 69 min; in-vehicle 117 min; generalized cost 104 dollars. train: cost 77 dollars; waiting 34 min; in-vehicle 630 min; generalized cost 145 dollars. bus: cost 38 dollars; waiting 35 min; in-vehicle 624 min; generalized cost 106 dollars. car: cost 29 dollars; waiting 0 min; in-vehicle 540 min; generalized cost 88 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-203A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 4 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 114 min; generalized cost 72 dollars. train: cost 16 dollars; waiting 34 min; in-vehicle 378 min; generalized cost 57 dollars. bus: cost 14 dollars; waiting 5 min; in-vehicle 370 min; generalized cost 54 dollars. car: cost 17 dollars; waiting 0 min; in-vehicle 335 min; generalized cost 53 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-204A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 60 dollars; waiting 69 min; in-vehicle 66 min; generalized cost 67 dollars. train: cost 34 dollars; waiting 34 min; in-vehicle 352 min; generalized cost 72 dollars. bus: cost 37 dollars; waiting 10 min; in-vehicle 250 min; generalized cost 64 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 307 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-205A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 45 thousand dollars. air: cost 107 dollars; waiting 69 min; in-vehicle 144 min; generalized cost 123 dollars. train: cost 89 dollars; waiting 34 min; in-vehicle 879 min; generalized cost 184 dollars. bus: cost 35 dollars; waiting 30 min; in-vehicle 775 min; generalized cost 119 dollars. car: cost 37 dollars; waiting 0 min; in-vehicle 868 min; generalized cost 131 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-206A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 81 dollars; waiting 69 min; in-vehicle 124 min; generalized cost 94 dollars. train: cost 69 dollars; waiting 34 min; in-vehicle 605 min; generalized cost 135 dollars. bus: cost 30 dollars; waiting 35 min; in-vehicle 599 min; generalized cost 95 dollars. car: cost 30 dollars; waiting 0 min; in-vehicle 720 min; generalized cost 108 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-207A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 40 thousand dollars. air: cost 126 dollars; waiting 45 min; in-vehicle 135 min; generalized cost 141 dollars. train: cost 70 dollars; waiting 34 min; in-vehicle 596 min; generalized cost 135 dollars. bus: cost 31 dollars; waiting 35 min; in-vehicle 590 min; generalized cost 95 dollars. car: cost 32 dollars; waiting 0 min; in-vehicle 577 min; generalized cost 95 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
air
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-208A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 2 thousand dollars. air: cost 59 dollars; waiting 69 min; in-vehicle 86 min; generalized cost 68 dollars. train: cost 15 dollars; waiting 34 min; in-vehicle 360 min; generalized cost 54 dollars. bus: cost 29 dollars; waiting 50 min; in-vehicle 265 min; generalized cost 57 dollars. car: cost 13 dollars; waiting 0 min; in-vehicle 300 min; generalized cost 46 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
bus
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-209A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 20 thousand dollars. air: cost 81 dollars; waiting 69 min; in-vehicle 124 min; generalized cost 94 dollars. train: cost 35 dollars; waiting 34 min; in-vehicle 605 min; generalized cost 100 dollars. bus: cost 31 dollars; waiting 35 min; in-vehicle 599 min; generalized cost 96 dollars. car: cost 27 dollars; waiting 0 min; in-vehicle 510 min; generalized cost 82 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
intercity-probability-v2-210A traveller in the 1987 Sydney–Canberra–Melbourne non-business intercity sample has household income 70 thousand dollars. air: cost 66 dollars; waiting 64 min; in-vehicle 140 min; generalized cost 87 dollars. train: cost 54 dollars; waiting 44 min; in-vehicle 670 min; generalized cost 156 dollars. bus: cost 33 dollars; waiting 53 min; in-vehicle 664 min; generalized cost 134 dollars. car: cost 12 dollars; waiting 0 min; in-vehicle 540 min; generalized cost 94 dollars. Estimate probabilities for air, train, bus, car; values must sum to 1. This is a choice-based sample, not population mode shares.
Reference answer:
car
Travel mode choice, Greene and Hensher (1997) · public domain
Source details, protocol & prompt download →
Travel mode choice, Greene and Hensher (1997) · public domain
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klang-probability-v2-1A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-2A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Indian, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-5A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Indian, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-7A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education diploma, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-9A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-11A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-13A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-15A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-17A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-20A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-22A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-24A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-26A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-28A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-30A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-32A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-34A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-36A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education diploma, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-39A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education diploma, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-44A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-46A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-49A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-52A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-55A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-59A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education diploma, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-62A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-64A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education diploma, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-66A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-70A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Non-working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-72A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-74A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-76A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-78A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-80A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-82A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-84A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-86A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-88A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-90A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-94A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≤ high school, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-97A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-10087A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-102A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-104A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-106A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-108A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-110A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-112A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-114A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-117A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-120A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-121A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-123A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-125A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-127A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-132A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-134A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-136A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-138A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-140A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-142A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-145A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Others, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-147A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-149A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-151A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-153A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-155A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-157A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-159A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-161A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-163A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-165A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-167A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-169A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-171A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-173A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-175A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-177A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-179A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-182A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-184A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-186A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-188A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-192A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-194A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-197A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-199A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-201A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-203A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-205A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-207A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-209A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-211A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-213A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education diploma, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-215A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-217A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education diploma, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-219A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education diploma, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-222A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Indian, education diploma, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-224A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Indian, education ≤ high school, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-226A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-228A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-229A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-231A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-233A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-235A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Non-working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-237A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education ≤ high school, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-239A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-242A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-244A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Indian, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-246A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-248A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-250A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-252A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-254A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Indian, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-256A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-259A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education diploma, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-261A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Indian, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-264A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-266A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group B40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-268A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-270A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-272A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-277A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-279A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≤ high school, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-281A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-283A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-285A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-287A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-289A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-292A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-294A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-296A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-298A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-300A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-302A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-304A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-306A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Others, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-308A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-310A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-312A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-314A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-316A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-318A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Indian, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-320A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-322A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-324A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-327A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: No. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-329A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-331A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-333A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-335A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-336A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Indian, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-338A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Indian, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-340A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-342A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Others, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-344A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-346A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-348A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Chinese, education diploma, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-350A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-353A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-355A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
klang-probability-v2-357A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-359A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Chinese, education diploma, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-361A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-363A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-366A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Chinese, education diploma, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-368A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Chinese, education ≤ high school, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-370A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-372A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-374A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-376A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-378A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Indian, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-380A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-382A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-384A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-386A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-388A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education diploma, Student, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-391A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-393A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-395A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Student, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-397A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-399A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-401A resident of the Klang Valley in Malaysia is described as follows. Male, aged 13 years old - 19 years old, Malay, education diploma, Student, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-403A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Others, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-405A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Student, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-407A resident of the Klang Valley in Malaysia is described as follows. Female, aged 13 years old - 19 years old, Malay, education diploma, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-409A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Student, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-411A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-413A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education diploma, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-415A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-417A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Non-working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-419A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Others, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: no
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-423A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Chinese, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-425A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education diploma, Working, household income group T20. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-427A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Others, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: yes, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-429A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Malay, education ≤ high school, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-431A resident of the Klang Valley in Malaysia is described as follows. Female, aged 40 years old and above, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: Yes. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: no, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-433A resident of the Klang Valley in Malaysia is described as follows. Male, aged 40 years old and above, Chinese, education ≥ degree, Working, household income group T20. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-435A resident of the Klang Valley in Malaysia is described as follows. Female, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group M40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: Yes. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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klang-probability-v2-437A resident of the Klang Valley in Malaysia is described as follows. Male, aged 20 years old - 39 years old, Malay, education ≥ degree, Working, household income group B40. Children under 12 in the household: No. Owns a private motorised vehicle: Yes. Holds a public transport subscription: No. Estimate independent probabilities of using active transport, public transport, and car. Each value is between 0 and 1; they need not sum to 1.
Reference answer:
active transport: yes, public transport: no, car: yes
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
Source details, protocol & prompt download →
Datasets_TMC, Kah Mun Ng, Universiti Malaya (2021) · CC BY 4.0
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