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Vehicle Relocation in One-Way Carsharing: A Review

Author

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  • Afnan Fayez Eliyan

    (Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar
    Department of Mechanical and Industrial Engineering, College of Engineering, Qatar University, Doha 2713, Qatar)

  • Laoucine Kerbache

    (Division of Engineering Management and Decision Sciences, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar)

Abstract

Carsharing has become increasingly popular in recent years as a sustainable transportation solution, offering individuals access to shared vehicles on a short-term basis. One-way carsharing, in particular, presents unique challenges due to its flexible nature, allowing users to pick up and drop off vehicles at different locations within a designated service area. This flexibility increases the service ridership but comes at the expense of vehicle imbalance among the stations, as some stations may have excess vehicles while other stations have vehicle shortages. Therefore, carsharing companies need to decide on strategies to ensure a balanced distribution of vehicles among the stations. This is essential as unbalanced vehicle distribution can lead to an unavailability of vehicles when needed or, conversely, result in an increased number of unnecessary rebalancing trips, thereby exacerbating traffic congestion and environmental pollution. Such issues can potentially undermine the overall contribution of carsharing to urban sustainability. To this end, this paper reviews the vehicle imbalance problem that arises in this field and the solution algorithms that solve them.

Suggested Citation

  • Afnan Fayez Eliyan & Laoucine Kerbache, 2024. "Vehicle Relocation in One-Way Carsharing: A Review," Sustainability, MDPI, vol. 16(3), pages 1-28, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:3:p:1014-:d:1325783
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    References listed on IDEAS

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    1. Hua, Yikang & Zhao, Dongfang & Wang, Xin & Li, Xiaopeng, 2019. "Joint infrastructure planning and fleet management for one-way electric car sharing under time-varying uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 185-206.
    2. Xu, Min & Meng, Qiang & Liu, Zhiyuan, 2018. "Electric vehicle fleet size and trip pricing for one-way carsharing services considering vehicle relocation and personnel assignment," Transportation Research Part B: Methodological, Elsevier, vol. 111(C), pages 60-82.
    3. Boyacı, Burak & Zografos, Konstantinos G., 2019. "Investigating the effect of temporal and spatial flexibility on the performance of one-way electric carsharing systems," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 244-272.
    4. Gilbert Laporte & Frédéric Meunier & Roberto Wolfler Calvo, 2018. "Shared mobility systems: an updated survey," Annals of Operations Research, Springer, vol. 271(1), pages 105-126, December.
    5. Nair, Rahul & Miller-Hooks, Elise, 2014. "Equilibrium network design of shared-vehicle systems," European Journal of Operational Research, Elsevier, vol. 235(1), pages 47-61.
    6. Bekli, Seyma & Boyacı, Burak & Zografos, Konstantinos G., 2021. "Enhancing the performance of one-way electric carsharing systems through the optimum deployment of fast chargers," Transportation Research Part B: Methodological, Elsevier, vol. 152(C), pages 118-139.
    7. Brandstätter, Georg & Kahr, Michael & Leitner, Markus, 2017. "Determining optimal locations for charging stations of electric car-sharing systems under stochastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 17-35.
    8. Zhao, Meng & Li, Xiaopeng & Yin, Jiateng & Cui, Jianxun & Yang, Lixing & An, Shi, 2018. "An integrated framework for electric vehicle rebalancing and staff relocation in one-way carsharing systems: Model formulation and Lagrangian relaxation-based solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 542-572.
    9. Jorge, Diana & Molnar, Goran & de Almeida Correia, Gonçalo Homem, 2015. "Trip pricing of one-way station-based carsharing networks with zone and time of day price variations," Transportation Research Part B: Methodological, Elsevier, vol. 81(P2), pages 461-482.
    10. Çalık, Hatice & Fortz, Bernard, 2019. "A Benders decomposition method for locating stations in a one-way electric car sharing system under demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 121-150.
    11. Boyacı, Burak & Zografos, Konstantinos G. & Geroliminis, Nikolas, 2015. "An optimization framework for the development of efficient one-way car-sharing systems," European Journal of Operational Research, Elsevier, vol. 240(3), pages 718-733.
    12. Kek, Alvina G.H. & Cheu, Ruey Long & Meng, Qiang & Fung, Chau Ha, 2009. "A decision support system for vehicle relocation operations in carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 149-158, January.
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