Dynamic Rebalancing of the Free-Floating Bike-Sharing System

Wenbin Zhang, Xiaolei Niu, Guangyong Zhang and Lixin Tian ()
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Wenbin Zhang: School of Mathematical Sciences, Jiangsu Second Normal University, Nanjing 210013, China
Xiaolei Niu: School of Mathematical Sciences, Jiangsu Second Normal University, Nanjing 210013, China
Guangyong Zhang: Faculty of science, Wuxi University, Wuxi 214105, China
Lixin Tian: Energy Development and Environmental Protection Strategy Research Center, Jiangsu University, Zhenjiang 212013, China

Sustainability, 2022, vol. 14, issue 20, 1-10

Abstract: In the paper, we propose a novel method to analyze the rebalancing of the free-floating bike-sharing system. First, we construct a visualization method to analyze the rebalancing of the system. Then, for the first time, we set up a coarse-grained way to study dynamics rebalancing during rush hours. Finally, we complete the empirical analysis with the real-time cycling data of the Nanjing Mobike Sharing-bike Company. The results show that: static rebalancing is weak, and dynamic rebalancing during rush hours is serious. Therefore, increasing the number of shared bikes in parking spots can ease the rebalancing. At the same time, we find that commuting to and from work is not the main factor that constitutes the rebalancing of the free-floating bike-sharing system, though the rebalancing is proportional to travel frequency.

Keywords: free-floating bike-sharing system; visualization method; coarse-grained method; rebalancing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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