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The travel pattern difference in dockless micro-mobility: shared e-bikes versus shared bikes

Li, Qiumeng, Zhang, Enjia, Luca, Davide and Fuerst, Franz (2024) The travel pattern difference in dockless micro-mobility: shared e-bikes versus shared bikes. Transportation Research Part D: Transport and Environment, 130. ISSN 1361-9209

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Identification Number: 10.1016/j.trd.2024.104179

Abstract

To facilitate the tailoring of dockless bike-sharing and electric bike (e-bike) sharing services and assist in formulating effective regulations, this study aims to unravel the spatio-temporal travel patterns specific to e-bike-sharing and bike-sharing systems, utilising interpretable machine learning methods and a large-scale trip-level dataset in Kunming, China. The results show that shared bikes and e-bikes exhibit overall similarities and subtle differences in many aspects, such as trip attributes and spatial distribution. Additionally, both shared bikes and shared e-bikes have three basic temporal patterns for commuting and recreational purposes. Regarding the differences, e-bike sharing networks are more dispersed and bigger, and bike sharing tends to form densely connected clusters of flow, exhibiting a local concentration of activity. Besides, the commuting activities within e-bike sharing systems exhibit two patterns: direct travel to the destination and integration with public transit. In contrast, shared bikes predominantly rely on public transit transfers for commuting purposes.

Item Type: Article
Official URL: https://www.sciencedirect.com/journal/transportati...
Additional Information: © 2024 The Author(s)
Divisions: Middle East Centre
Subjects: H Social Sciences > HE Transportation and Communications
Date Deposited: 12 Apr 2024 13:18
Last Modified: 20 Jun 2024 03:15
URI: http://eprints.lse.ac.uk/id/eprint/122628

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