Wagner, Felix ORCID: 0000-0002-1601-738X, Milojevic-Dupont, Nikola, Franken, Lukas, Zekar, Aicha, Thies, Ben, Koch, Nicolas and Creutzig, Felix (2022). Using explainable machine learning to understand how urban form shapes sustainable mobility. Transport. Res. Part D-Transport. Environ., 111. OXFORD: PERGAMON-ELSEVIER SCIENCE LTD. ISSN 1879-2340

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Abstract

Municipalities are increasingly acknowledging the importance of urban form interventions that can reduce intra-city car travel in achieving more sustainable cities. Current academic knowledge for supporting such policies falls short in providing the spatial details required to plan specific interventions. Here, we develop an explainable machine learning framework to identify location-specific relevance of built environment for urban motorised travel, using a sample of 3.5 million car commutes over one year in Berlin and high-resolution urban form data. Results demonstrate that subcenters play a vital role in reducing commuting-related travel distance, giving support to the 15-minute city hypothesis. Observed threshold effects of induced CO2 emissions require low-carbon-policies targeted towards densifying the inner city while releasing peripheral low income communities from car dependence. This research provides a starting point for increasingly rich big data analyses of urban form for creating low-carbon and inclusive urban planning strategies.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Wagner, FelixUNSPECIFIEDorcid.org/0000-0002-1601-738XUNSPECIFIED
Milojevic-Dupont, NikolaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Franken, LukasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zekar, AichaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Thies, BenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Koch, NicolasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Creutzig, FelixUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-678236
DOI: 10.1016/j.trd.2022.103442
Journal or Publication Title: Transport. Res. Part D-Transport. Environ.
Volume: 111
Date: 2022
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Place of Publication: OXFORD
ISSN: 1879-2340
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
BUILT ENVIRONMENT; TRAVEL; DISTANCE; DENSITY; TRANSITMultiple languages
Environmental Studies; Transportation; Transportation Science & TechnologyMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/67823

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