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 Open Street Map (OSM) and the choice set generation is based on the breadth-first search on link elimination (BFSLE) algorithm. We present descriptive statistics and model results which specifically point out the difference between regular and e-bikes. We provide results of a simple path size Logit (PSL) and a more complex mixed PSL, 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 interaction effects shed light on the taste heterogeneity.

本文介绍了苏黎世市骑自行车者的路线选择模型的结果。数据包括约。4400 条骑行轨迹，包括约 850 来自电动自行车。该网络源自开放街道地图 (OSM)，选择集生成基于链接消除广度优先搜索 (BFSLE) 算法。我们提供描述性统计数据和模型结果，特别指出普通自行车和电动自行车之间的区别。我们提供了简单路径大小 Logit (PSL) 和更复杂的混合 PSL 的结果，两者均在距离值 (VoD) 空间中估计，并且都适合直接导出 VoD 指标。结果显示了对自行车基础设施、速度限制、交通信号、坡度和交通量的预期影响。许多相互作用的影响揭示了味道的异质性。