The mobility pattern of dockless bike sharing: A four-month study in Singapore
Name
mobility_pattern_sing.pdf
Description
Accepted version
Size
11.77 MB
Format
Unknown
Checksum (MD5)
4c10d499c738827248846a8906281195
Author(s)
Zhang, Xiaohu
Shen, Yu
Zhao, Jinhua
Date Issued
September 2021
Journal
Transportation Research Part D: Transport and Environment
Publisher
Elsevier BV
Citation
Zhang, Xiaohu, Shen, Yu and Zhao, Jinhua. 2021. "The mobility pattern of dockless bike sharing: A four-month study in Singapore." Transportation Research Part D: Transport and Environment, 98.
Version
Author's final manuscript
Abstract
Many cities around the world have adopted dockless bike-sharing programs with the hope that this new service could enhance last-mile public transit connections. However, our understanding of the travel patterns using dockless bike sharing is still limited. To advance the knowledge on the new service, this study investigates mobility patterns of dockless bike sharing in Singapore using a four-month dataset. An exploratory spatiotemporal analysis is conducted to show daily travel patterns, while community detection of networks is used to explore the spatial clusters emerged from cycling behaviors. A series of Poisson regression models are then estimated to characterize the generation, attraction and resistance factors of bike trips in different periods of a day. The proposed regression model, which considers built environment factors of origin and destination simultaneously, is proved to be effective in deciphering mobility. The empirical findings shed light on policy implications in sustainable transportation planning.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1016/j.trd.2021.102961
