Understanding the usage of dockless bike sharing in Singapore
Name
Docklessbikepub.pdf
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1011.27 KB
Format
Adobe PDF
Checksum (MD5)
699a45f69e3633bcef75f318c8abe843
Author(s)
Shen, Yu
Zhang, Xiaohu
Zhao, Jinhua
Date Issued
January 2018
Journal
International Journal of Sustainable Transportation
Publisher
Taylor & Francis
Citation
Shen, Yu et al. “Understanding the Usage of Dockless Bike Sharing in Singapore.” International Journal of Sustainable Transportation 12, 9 (February 2018): 686–700 © 2018 Taylor & Francis Group, LLC
Version
Author's final manuscript
Abstract
A new generation of bike-sharing services without docking stations is currently revolutionizing the traditional bike-sharing market as it dramatically expands around the world. This study aims at understanding the usage of new dockless bike-sharing services through the lens of Singapore's prevalent service. We collected the GPS data of all dockless bikes from one of the largest bike sharing operators in Singapore for nine consecutive days, for a total of over 14 million records. We adopted spatial autoregressive models to analyze the spatiotemporal patterns of bike usage during the study period. The models explored the impact of bike fleet size, surrounding built environment, access to public transportation, bicycle infrastructure, and weather conditions on the usage of dockless bikes. Larger bike fleet is associated with higher usage but with diminishing marginal impact. In addition, high land use mixtures, easy access to public transportation, more supportive cycling facilities, and free-ride promotions positively impact the usage of dockless bikes. The negative influence of rainfall and high temperatures on bike utilization is also exhibited. The study also offered some guidance to urban planners, policy makers, and transportation practitioners who wish to promote bike-sharing service while ensuring its sustainability. Keywords: Built environment; data mining; dockless/stationless; bike sharing; GPS data; spatiotemporal analysis
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1080/15568318.2018.1429696
