The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Ali Mansourian

Ali Mansourian

Researcher

Ali Mansourian

Impact of transit catchment size on the integration of shared e-scooters in the public transport system

Author

  • Pengxiang Zhao
  • Aoyong Li
  • Ali Mansourian

Editor

  • Alison Heppenstall
  • Mingshu Wang
  • Urska Demsar
  • Rob Lemmens
  • Jing Yao

Summary, in English

E-scooter sharing has been commonly used to integrate public transport systems in many cities worldwide. Accurately modeling integration between shared e-scooters and public transport is important for multi-modal urban transportation development and management. However, the effects of catchment size are scarcely considered while modeling their integration by widely adopting the method based on the transit catchment area in previous studies. In this paper, we systematically quantify the impact of the size of the transit catchment area on the integration of shared e-scooters in the public transport system from statistical, temporal, and spatial perspectives. A case study is implemented in Stockholm, Sweden. The results indicate that the transit catchment size has a significant impact on their integration, especially on spatial patterns. This research calls for more attention to consider such catchment size effects to ensure the validity of integration results for urban mobility research and practice.

Department/s

  • Dept of Physical Geography and Ecosystem Science
  • Centre for Geographical Information Systems (GIS Centre)

Publishing year

2024

Language

English

Publication/Series

AGILE GIScience Series

Volume

56

Document type

Conference paper

Publisher

Copernicus GmbH

Topic

  • Earth and Related Environmental Sciences

Keywords

  • Shared e-scooter
  • Public transport
  • Integration
  • Transit catchment size
  • Spatial and temporal analysis

Status

Published