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

Mocanu, Tudor and Joshi, Jigeeshu and 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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Official URL: http://dx.doi.org/10.1186/s12544-021-00507-0

Abstract

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.

Item URL in elib:https://elib.dlr.de/144331/
Document Type:Article
Title:A data-driven analysis of the potential of public transport for German commuters using accessibility indicators
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Mocanu, TudorTudor.Mocanu (at) dlr.dehttps://orcid.org/0000-0003-2883-0121
Joshi, JigeeshuJigeeshu.Joshi (at) dlr.deUNSPECIFIED
Winkler, ChristianChristian.Winkler (at) dlr.deUNSPECIFIED
Date:26 September 2021
Journal or Publication Title:European Transport Research Review
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:13
DOI:10.1186/s12544-021-00507-0
Publisher:Springer
ISSN:1867-0717
Status:Published
Keywords:Commuting, commuters, public transport, transit, accessibility, travel times, mode choice, mode shift, open data, Pendler, Erreichbarkeit, ÖPNV
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Transport System
DLR - Research area:Transport
DLR - Program:V VS - Verkehrssystem
DLR - Research theme (Project):V - Transport und Klima
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transport Research > Passenger Transport
Deposited By: Mocanu, Tudor
Deposited On:06 Oct 2021 22:50
Last Modified:24 May 2022 23:47

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