Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Study on Bike Sharing Rebalancing: Evidence from Kunming

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

Lots of cities have developed a bike sharing system, but how to deploy a bike sharing system reasonably is urgent issue in the cities like Kunming. A knowledge based on these factors that re-balancing on a bike sharing system will work on to support cities to design an efficient service bike sharing system while decreasing re-balancing costs. We collect traffic-zone-level bike sharing usage data in Kunming, analyze the bike sharing time-variation and daily variation characteristics of arrivals and departures. Especially, we built multiple regression model to quantify effect of socio-demographic characteristics and land-use characteristics on time-variation and daily variation characteristics of arrivals and departures. We then define the absolute value of arrivals minus departures as balance index, and develop a binary logit model to estimate the influence of socio-demographic characteristics, land-use characteristics, and public transit characteristics on re-balancing. The results provide a basis for the re-balancing of a bike sharing system.

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REFERENCES

Fishman, E., Washington, S., & Haworth, N. (2014). “Bike share’s impact on car use: evidence from the United states, great Britain, and Australia.” Transportation Research Part D: Transport and Environment, 31, 13-20.
Frade, I. & Ribeiro, A. (2014). “Bicycle sharing systems demand.” Procedia - Social and Behavioral Sciences, 111(111), 518-527.
Gaspero, L. D., Rendl, A., & Urli, T. (2016). “Balancing bike sharing systems with constraint programming.” Constraints, 21(2), 318-348.
Li, Y., Zheng, Y., Zhang, H., & Chen, L. (2015). “Traffic prediction in a bike-sharing system.” In Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 33. ACM.
Xie, X. F. & Wang, Z. J. (2018). “Examining travel patterns and characteristics in a bikesharing network and implications for data-driven decision supports: Case study in the Washington DC area.” Journal of Transport Geography, 71, 84-102.

Information & Authors

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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 280 - 289
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Kunming Urban Planning and Design Institute, Kunming, Yunnan, China. E-mail: [email protected]
Kunming Urban Transport Institute, Kunming, Yunnan, China. E-mail: [email protected]
Dept. of Traffic and Transportation Engineering, Tongji Zhejiang College, Jiaxing, Zhejiang, China. E-mail: [email protected]

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