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Management of resource allocation on vehicle-sharing schemes: the case of Thessaloniki’s bike-sharing system

Author

Listed:
  • Georgia Aifadopoulou

    (Centre for Research and Technology Hellas - Hellenic Institute of Transport)

  • Georgios Tsaples

    (Centre for Research and Technology Hellas - Hellenic Institute of Transport)

  • Josep Maria Salanova Grau

    (Centre for Research and Technology Hellas - Hellenic Institute of Transport)

  • Ioannis Mallidis

    (Centre for Research and Technology Hellas - Hellenic Institute of Transport)

  • Nikolaos Sariannidis

    (University of Western Macedonia)

Abstract

The purpose of this paper is to propose a holistic optimization-based framework for addressing the re-balancing problem of vehicle-sharing schemes. In order to address this issue, the problem is decomposed into three (3) sub-problems that include: (1) the dynamic prediction of vehicle demand in stations or zones (in the case of free-floating systems); (2) the optimization of the assignment of vehicles from stations/zones using the predicted demand of the first step; and (3) the optimization of the route that the re-balancing vehicle should follow, under transverse distance minimization objectives, and given the optimized assignment of the second step. As the route optimization of the rebalancing vehicle is computationally intensive, a heuristic algorithm is developed that transforms the route optimization problem into the one (1)-Commodity Pickup and Delivery Capacitated Traveling Salesman Problem. The applicability of the proposed methodology is illustrated through its application on the real case of the bike-sharing system in the city of Thessaloniki in Greece.

Suggested Citation

  • Georgia Aifadopoulou & Georgios Tsaples & Josep Maria Salanova Grau & Ioannis Mallidis & Nikolaos Sariannidis, 2022. "Management of resource allocation on vehicle-sharing schemes: the case of Thessaloniki’s bike-sharing system," Operational Research, Springer, vol. 22(2), pages 1001-1016, April.
    • Handle: RePEc:spr:operea:v:22:y:2022:i:2:d:10.1007_s12351-020-00569-3
    DOI: 10.1007/s12351-020-00569-3
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    References listed on IDEAS

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    Cited by:

    1. Gu, Wei & Yu, Xiaoru & Zhang, Shichen & Yan, Xiangbin & Wang, Chen, 2023. "To outsource or not: Bike-share rebalancing strategies under the service quality deviation of a third party," European Journal of Operational Research, Elsevier, vol. 310(2), pages 847-859.

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