Route choice modeling for cyclists on urban networks

This paper presents the results of route choice models for cyclists in city Zurich. The data includes approx. 4400 cycling trajectories, including 850 from e-bikes. network is sourced Open Street Map (OSM) and set generation based on breadth-first search link elimination (BFSLE) algorithm. We present descriptive statistics model which specifically point out difference between regular provide a simple path size Logit (PSL) more complex mixed PSL, both estimated Value-of-Distance (VoD) space, suited to directly derive VoD indicators. show anticipated effects infrastructure, speed limits, traffic signals, gradients volumes. Numerous interaction shed light taste heterogeneity.