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Date
2010Type
- Journal Article
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Abstract
This paper presents the first route choice model for bicyclists estimated from a large sample of GPS observations and overcomes the limitations inherent in the generally employed stated preference approach. It employs an improved mode detection algorithm for GPS post-processing to determine trips made by bicycle, which are map matched to an enriched street network. The alternatives are generated as a random sample from an exhaustive, but constrained search. Accounting for the similarity between the alternatives with the path-size factor the MNL estimates show that the elasticity with regards to trip length is nearly four times larger than that with respect to the share of bike paths. The elasticity with respect to the product of length and maximum gradient of the route is small. No other variable describing the routes had an impact. The heterogeneity of the cyclists is captured through interaction terms formulated on their average behaviour. Show more
Publication status
publishedExternal links
Journal / series
Transportation Research Part A: Policy and PracticeVolume
Pages / Article No.
Publisher
PergamonSubject
Route choice; Discrete choice modelling; Bicycle lanes; Map matchingOrganisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
03674 - Weidmann, Ulrich / Weidmann, Ulrich
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Related publications and datasets
Is new version of: https://doi.org/10.3929/ethz-a-005729195
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