Explaining Shared Micromobility Usage, Competition and Mode Choice by Modelling Empirical Data from Zurich, Switzerland
Research Collection Journal Article Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland Author(s): Reck, Daniel Jan; Guidon, Sergio; Haitao, He; Axhausen, Kay W. Publication Date: 2021-03 Permanent Link: https://doi.org/10.3929/ethz-b-000425877 Originally published in: Transportation Research Part C: Emerging Technologies 124, http://doi.org/10.1016/ j.trc.2020.102947 Rights / License: Creative Commons Attribution 4.0 International This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library Transportation Research Part C 124 (2021) 102947 Contents lists available at ScienceDirect Transportation Research Part C journal homepage: www.elsevier.com/locate/trc Explaining shared micromobility usage, competition and mode choice by modelling empirical data from Zurich, Switzerland Daniel J. Reck a,*, He Haitao c, Sergio Guidon a,b, Kay W. Axhausen a a Institute for Transport Planning and Systems, ETH Zürich, Switzerland b Institute of Science, Technology and Policy, ETH Zürich, Switzerland c School of Architecture, Building and Civil Engineering, Loughborough University, United Kingdom ARTICLE INFO ABSTRACT Keywords: Shared micromobility services (e-scooters, bikes, e-bikes) have rapidly gained popularity in the Micromobility past few years, yet little is known about their usage. While most previous studies have analysed E-scooter single modes, only few comparative studies of two modes exist and none so-far have analysed E-bike competition or mode choice at a high spatiotemporal resolution for more than two modes. To this Bikesharing end, we develop a generally applicable methodology to model and analyse shared micromobility Competition Mode choice competition and mode choice using widely accessible vehicle location data.
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