elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Impressum | Datenschutz | Kontakt | English
Schriftgröße: [-] Text [+]

Transferability analysis of user groups in travel behaviour surveys using a random forest classification model

Nieland, Simon und Oostendorp, Rebekka und Heinrichs, Matthias und Cyganski, Rita (2022) Transferability analysis of user groups in travel behaviour surveys using a random forest classification model. In: 12th International Conference on Transport Survey Methods. 12th International Conference on Transport Survey Methods (ISCTSC 2022), 20.-25. März 2022, Portugal. doi: 10.1016/j.trpro.2023.12.040. ISSN 2352-1457.

[img] PDF
558kB

Kurzfassung

There are many different travel behavior surveys with a wide range of sample sizes and contents, whose data sets are often difficult to merge. This contribution aims to evaluate the possibilities of transferring user typologies from one travel survey to another based on two different surveys in Berlin, Germany, using a random forest classification model. The investigated unimodal and intermodal mobility types were generated on the basis of a travel survey (n=1,098), collected in the year 2016 in Berlin with a special focus on intermodality, and were transferred into the Germany-wide survey “Mobility in Germany” (MiD) from 2017 (n=316,361 (total sample Germany); n=3,206 (subsample Berlin)). Basis for the training of the random forest model were mobility resources (e.g. public transport ticket availability, number of cars in household), socio-demographic characteristics (e.g. size of household, age, employment), temporally aggregated uni- and intermodal usage frequencies and trip purposes. At first, the model has been developed and tested based on the Berlin survey using different subsets of input variables (e.g. without usage frequencies, with usage frequencies, without intermodal usage) to evaluate which classification accuracy can be achieved depending on what kind of variables are included in the survey. In this process, gradual reduction of the variables was performed to evaluate the effects of using a reduced number of input variables for transfer. Based on usage frequencies, socio-demographics and mobility resources, the classification achieved a mean F1 score of 0.93 for the mobility types in the Berlin survey. Respectively, the results were lower when reducing the number of training variables. When performing the transfer, the distribution of the resulting user groups shows high similarities, especially for the Berlin sample. In conclusion, it can be shown that the proposed methodological procedure is suitable for transferring mobility types developed on the basis of a specialized data set to other surveys on the basis of mobility behavior parameters.

elib-URL des Eintrags:https://elib.dlr.de/185740/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Transferability analysis of user groups in travel behaviour surveys using a random forest classification model
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Nieland, SimonSimon.Nieland (at) dlr.dehttps://orcid.org/0000-0002-1116-0646NICHT SPEZIFIZIERT
Oostendorp, RebekkaRebekka.Oostendorp (at) dlr.dehttps://orcid.org/0000-0002-3675-3931NICHT SPEZIFIZIERT
Heinrichs, MatthiasMatthias.Heinrichs (at) dlr.dehttps://orcid.org/0000-0002-0175-2787NICHT SPEZIFIZIERT
Cyganski, RitaRita.Cyganski (at) dlr.dehttps://orcid.org/0000-0002-5744-1427NICHT SPEZIFIZIERT
Datum:2022
Erschienen in:12th International Conference on Transport Survey Methods
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Ja
In ISI Web of Science:Nein
DOI:10.1016/j.trpro.2023.12.040
Name der Reihe:Transportation Research Procedia
ISSN:2352-1457
Status:veröffentlicht
Stichwörter:Random forest classification; Mobility types; Data fusion; Machine learning; travel behaviour survey
Veranstaltungstitel:12th International Conference on Transport Survey Methods (ISCTSC 2022)
Veranstaltungsort:Portugal
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:20.-25. März 2022
Veranstalter :International Steering Committee for Transport Survey Conferences
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Verkehr
HGF - Programmthema:Verkehrssystem
DLR - Schwerpunkt:Verkehr
DLR - Forschungsgebiet:V VS - Verkehrssystem
DLR - Teilgebiet (Projekt, Vorhaben):V - UrMo Digital (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrsforschung > Mobilität und urbane Entwicklung
Hinterlegt von: Nieland, Simon
Hinterlegt am:02 Mai 2022 22:27
Letzte Änderung:29 Feb 2024 14:06

Nur für Mitarbeiter des Archivs: Kontrollseite des Eintrags

Blättern
Suchen
Hilfe & Kontakt
Informationen
electronic library verwendet EPrints 3.3.12
Gestaltung Webseite und Datenbank: Copyright © Deutsches Zentrum für Luft- und Raumfahrt (DLR). Alle Rechte vorbehalten.