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Detection of unusable bicycles in bike-sharing systems

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  • Kaspi, Mor
  • Raviv, Tal
  • Tzur, Michal

Abstract

In bike-sharing systems, a small percentage of the bicycles become unusable every day. Currently, there is no reliable on-line information that indicates the usability of bicycles. We present a model that estimates the probability that a specific bicycle is unusable as well as the number of unusable bicycles in a station, based on available trip transaction data. Further on, we present some information based enhancements of the model and discuss an equivalent model for detecting locker failures.

Suggested Citation

  • Kaspi, Mor & Raviv, Tal & Tzur, Michal, 2016. "Detection of unusable bicycles in bike-sharing systems," Omega, Elsevier, vol. 65(C), pages 10-16.
    • Handle: RePEc:eee:jomega:v:65:y:2016:i:c:p:10-16
    DOI: 10.1016/j.omega.2015.12.003
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    References listed on IDEAS

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    1. Forma, Iris A. & Raviv, Tal & Tzur, Michal, 2015. "A 3-step math heuristic for the static repositioning problem in bike-sharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 230-247.
    2. Dell'Amico, Mauro & Hadjicostantinou, Eleni & Iori, Manuel & Novellani, Stefano, 2014. "The bike sharing rebalancing problem: Mathematical formulations and benchmark instances," Omega, Elsevier, vol. 45(C), pages 7-19.
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    Citations

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    Cited by:

    1. Zhou, Yu & Kou, Gang & Guo, Zhen-Zhu & Xiao, Hui, 2023. "Availability analysis of shared bikes using abnormal trip data," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Zhang, Liye & Xiao, Zhe & Ren, Shen & Qin, Zheng & Goh, Rick Siow Mong & Song, Jie, 2022. "Measuring the vulnerability of bike-sharing system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 353-369.
    3. Mix, Richard & Hurtubia, Ricardo & Raveau, Sebastián, 2022. "Optimal location of bike-sharing stations: A built environment and accessibility approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 160(C), pages 126-142.
    4. Chen, Qingxin & Ma, Shoufeng & Li, Hongming & Zhu, Ning & He, Qiao-Chu, 2024. "Optimizing bike rebalancing strategies in free-floating bike-sharing systems: An enhanced distributionally robust approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    5. 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).
    6. Shang, Wen-Long & Chen, Jinyu & Bi, Huibo & Sui, Yi & Chen, Yanyan & Yu, Haitao, 2021. "Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis," Applied Energy, Elsevier, vol. 285(C).
    7. Si, Hongyun & Su, Yangyue & Wu, Guangdong & Liu, Bingsheng & Zhao, Xianbo, 2020. "Understanding bike-sharing users’ willingness to participate in repairing damaged bicycles: Evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 203-220.
    8. Alice Paul & Daniel Freund & Aaron Ferber & David B. Shmoys & David P. Williamson, 2020. "Budgeted Prize-Collecting Traveling Salesman and Minimum Spanning Tree Problems," Mathematics of Operations Research, INFORMS, vol. 45(2), pages 576-590, May.

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