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A data-driven analysis of the potential of public transport for German commuters using accessibility indicators

Mocanu, Tudor und Joshi, Jigeeshu und Winkler, Christian (2021) A data-driven analysis of the potential of public transport for German commuters using accessibility indicators. European Transport Research Review, 13 (1). Springer. doi: 10.1186/s12544-021-00507-0. ISSN 1867-0717.

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Offizielle URL: http://dx.doi.org/10.1186/s12544-021-00507-0

Kurzfassung

Background A significant mode shift will be required in order to meet the ambitious greenhouse gas emissions reduction targets in Germany and elsewhere. Such a mode shift can only be achieved by a combination of drastic push and pull measures. Getting commuters to switch modes might be particularly difficult and have a negative impact on their access to employment and welfare. Methodology We investigate the potential for a mode shift from car to public transport for German commuters using a data-driven approach based mainly on open data sources that avoids complex transport model runs. Different datasets on the home and workplace location of all employees in Germany are consolidated to create an origin-destination commuter matrix at traffic analysis zone level. The commuter matrix is merged with travel time data for car and public transport to calculate a spatially disaggregated and mode-specific measure of accessibility. The comparison of accessibility by car and public transport is used to derive the potential for a mode shift and identify potential challenges and barriers. Results Public transport accessibility to workplaces is poorer across the country compared to access by car. On average, public transport travel times are almost three times higher than the corresponding car travel times. The differences in accessibility are largely independent of the region type. Results are validated by an independent dataset from a household travel survey. Based on these results, the potential for a mode shift appears to be very low.

elib-URL des Eintrags:https://elib.dlr.de/144331/
Dokumentart:Zeitschriftenbeitrag
Titel:A data-driven analysis of the potential of public transport for German commuters using accessibility indicators
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Mocanu, TudorTudor.Mocanu (at) dlr.dehttps://orcid.org/0000-0003-2883-0121NICHT SPEZIFIZIERT
Joshi, JigeeshuJigeeshu.Joshi (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Winkler, ChristianChristian.Winkler (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:26 September 2021
Erschienen in:European Transport Research Review
Referierte Publikation:Ja
Open Access:Ja
Gold Open Access:Ja
In SCOPUS:Ja
In ISI Web of Science:Ja
Band:13
DOI:10.1186/s12544-021-00507-0
Verlag:Springer
ISSN:1867-0717
Status:veröffentlicht
Stichwörter:Commuting, commuters, public transport, transit, accessibility, travel times, mode choice, mode shift, open data, Pendler, Erreichbarkeit, ÖPNV
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 - Transport und Klima (alt)
Standort: Berlin-Adlershof
Institute & Einrichtungen:Institut für Verkehrsforschung > Personenverkehr
Hinterlegt von: Mocanu, Tudor
Hinterlegt am:06 Okt 2021 22:50
Letzte Änderung:24 Mai 2022 23:47

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