Yang, Y. orcid.org/0000-0002-7970-2544, Saridakis, C., Wadud, Z. et al. (7 more authors) (2025) Understanding factors influencing user retention in shared e-scooter schemes: A comparative study of the UK/EU and the US. Travel Behaviour and Society, 41. 101067. ISSN 2214-367X
Abstract
Shared e-scooters are increasingly recognised as a sustainable travel mode for tackling urban transportation challenges, including congestion and air pollution. Their early adoption in U.S. cities, followed by expansion across Europe and ongoing trials in the UK, underscores the need to understand key factors for the scheme’s success and development, particularly regarding the acceptance and retention of existing users. This study adopts an explainable machine learning approach to predict and understand the likelihood of continued shared e-scooter usage among current users. It provides insights into the important factors influencing user retention, while also comparing the UK/EU and US contexts. The developed models exhibit high predictive accuracy and highlight the perceived utility and user-friendliness of e-scooters as key determinants influencing users’ willingness for future use. The research sheds light on psychographic characteristics, emphasising the impact of green awareness and individual’s values on users’ retention, and how their importance may vary between the UK/EU and US users. The findings are useful for guiding future strategic development of shared e-scooter services in different geographic contexts.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2025 The Author(s). Published by Elsevier Ltd on behalf of Hong Kong Society for Transportation Studies. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Shared micromobility, E-scooter, Machine learning, User retention |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 May 2025 13:47 |
Last Modified: | 29 May 2025 13:47 |
Published Version: | https://www.sciencedirect.com/science/article/pii/... |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.tbs.2025.101067 |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:227197 |