#7630. A data-driven analysis of the potential of public transport for German commuters using accessibility indicators

October 2026publication date
Proposal available till 23-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Mechanical Engineering;
Automotive Engineering;
Transportation;
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Abstract:
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. 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.
Keywords:
Accessibility; Commuters; Commuting; Mode choice; Mode shift; Open data; Public transport; Transit; Travel times

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