Route Choice Modelling for Cyclists on Dense Urban Networks
17 Pages Posted: 4 Nov 2022
Abstract
This paper presents the results of route choice models for cyclists in the city of Zurich. The data includes approx. 4400 cycling trajectories, including approx. 850 from e-bikes. The network is sourced from OSM and the choice set generation is based on a modified version of the BFSLE algorithm. We present descriptive statistics as well as the model results which specifically point out the difference between regular and e-bikes. We provide results of both a simple MNL and a more complex mixed Logit, both estimated in Value-of-Distance (VoD) space, and both suited to directly derive VoD indicators. The results show anticipated effects for cycling infrastructure, speed limits, traffic signals, gradients and traffic volumes. Numerous socio-demographic interaction effects shed light on the taste heterogeneity.
Keywords: Route choice, Cycling, E-bikes, Value-of-Distance, Mixed Logit
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