A user-based bike rebalancing strategy for free-floating bike sharing systems: A bidding model
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DOI: 10.1016/j.tre.2021.102438
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Cited by:
- Lee, Carmen Kar Hang & Leung, Eric Ka Ho, 2023. "Spatiotemporal analysis of bike-share demand using DTW-based clustering and predictive analytics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
- Cai, Yutong & Ong, Ghim Ping & Meng, Qiang, 2022. "Dynamic bicycle relocation problem with broken bicycles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
- Dong, Zhongpeng & Fan, Zhi-Ping & Wang, Ningning, 2023. "An analysis of pricing strategy for bike-sharing services: The role of the inconvenience cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
- Imen Haj Salah & Vasu Dev Mukku & Malte Kania & Tom Assmann & Hartmut Zadek, 2022. "Implications of the Relocation Type and Frequency for Shared Autonomous Bike Service: Comparison between the Inner and Complete City Scenarios for Magdeburg as a Case Study," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
- Zhang, Yuhan & Shao, Yichang & Bi, Hui & Aoyong, Li & Ye, Zhirui, 2023. "Bike-sharing systems rebalancing considering redistribution proportions: A user-based repositioning approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
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Keywords
Free-floating bike sharing system (FBSS); User-based bike rebalancing (UBR); Bidding-model-based incentive mechanism (BIM);All these keywords.
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