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Bike sharing rebalancing problem with variable demand

Author

Listed:
  • Wang, Xu
  • Sun, Huijun
  • Zhang, Si
  • Lv, Ying
  • Li, Tongfei

Abstract

This paper investigates an extended bike-sharing rebalancing problem called the bike-sharing rebalancing problem with variable demand (BRPVD), which considers the influence of the number of bikes distributed by the operator on users’ demand. The solutions to the BRPVD aim at maximizing the profit of bike-sharing operators by making routing plans of transport vehicles and determining the target number of bikes at each station after redistribution operation. The problem is modeled as a mixed-integer non-linear programming model and is linearized into a mixed-inter linear programming model. The model is tested in cases adopting real Beijing Mobike data, revealing that the rebalancing behavior significantly impacts users’ demand, hence guiding the operator.

Suggested Citation

  • Wang, Xu & Sun, Huijun & Zhang, Si & Lv, Ying & Li, Tongfei, 2022. "Bike sharing rebalancing problem with variable demand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
    • Handle: RePEc:eee:phsmap:v:591:y:2022:i:c:s0378437121009559
    DOI: 10.1016/j.physa.2021.126766
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    References listed on IDEAS

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    1. Hua, Mingzhuang & Chen, Xuewu & Chen, Jingxu & Huang, Di & Cheng, Long, 2022. "Large-scale dockless bike sharing repositioning considering future usage and workload balance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    2. Li, Lili & Li, Xiaohan & Yu, Senbin & Li, Xiaojia & Dai, Jiaqi, 2022. "Unbalanced usage of free-floating bike sharing connecting with metro stations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

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