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A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective

Author

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  • Linfeng Li

    (Department of Management Science and Engineering, Business School of Hunan University, Changsha 410082, China)

  • Miyuan Shan

    (Department of Management Science and Engineering, Business School of Hunan University, Changsha 410082, China)

  • Ying Li

    (Department of Management Science and Engineering, Business School of Hunan University, Changsha 410082, China)

  • Sheng Liang

    (Department of Management Science and Engineering, Business School of Hunan University, Changsha 410082, China)

Abstract

Maintaining a balance between revenue and expenditure is the key to the sustainable development of a bicycle sharing system (BSS), and is a challenge for almost all systems worldwide. This article proposes a dynamic programming approach to obtain the optimal strategy to maximize the revenue of overall BSS. The Variable Granularity-Depth First Search (VG-DFS) algorithm is designed to speed up the solution. A numerical experiment is presented to verify the applicability of the model through a comparison with real data from the BSS in Hangzhou. Results indicated that the BSS could achieve break-even, or even obtain a substantial income by utilizing our model to make operational decisions, especially when the region it is located in has a relatively high GDP. Moreover, the best investment strategy proved is to involve stations in the initial construction period of the BSS as much as possible.

Suggested Citation

  • Linfeng Li & Miyuan Shan & Ying Li & Sheng Liang, 2017. "A Dynamic Programming Model for Operation Decision-Making in Bicycle Sharing Systems under a Sustainable Development Perspective," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:895-:d:100239
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    References listed on IDEAS

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    Cited by:

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    2. Liu, Junrong & Duan, Qihong & Ma, Wen-Xiu, 2020. "The evolution of a clogging sidewalk caused by a dockless bicycle-sharing system: A stochastic particles model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 177(C), pages 516-526.
    3. Tianjian Yang & Ye Li & Simin Zhou, 2019. "System Dynamics Modeling of Dockless Bike-Sharing Program Operations: A Case Study of Mobike in Beijing, China," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
    4. Ruijing Wu & Shaoxuan Liu & Zhenyang Shi, 2019. "Customer Incentive Rebalancing Plan in Free-Float Bike-Sharing System with Limited Information," Sustainability, MDPI, vol. 11(11), pages 1-24, May.
    5. Bacem Samet & Florent Couffin & Marc Zolghadri & Maher Barkallah & Mohamed Haddar, 2018. "Performance Analysis and Improvement of the Bike Sharing System Using Closed Queuing Networks with Blocking Mechanism," Sustainability, MDPI, vol. 10(12), pages 1-26, December.

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