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An Integrated Supply-Demand Approach to Solving Optimal Relocations in Station-Based Carsharing Systems

Author

Listed:
  • Sisi Jian

    (UNSW Australia)

  • David Rey

    (UNSW Australia)

  • Vinayak Dixit

    (UNSW Australia)

Abstract

The dominant challenge in one-way carsharing systems is the vehicle stock imbalance. Previous studies have proposed relocation approaches to handle it using optimization and simulation models. However, these models do not consider the interdependence between supply and demand in carsharing systems. In this paper, we develop an integrated optimization model to link supply and demand together. A discrete choice model that includes vehicle availability as a parameter directly affecting user’s mode choice is introduced and incorporated within the optimization formulation. In this framework, carsharing travel demand is influenced by vehicle supply. The reaction of the demand further changes vehicle availability in the system. The incorporation of a discrete choice model with the Integer Linear Programming formulation leads to a nonlinear model. We propose a linearization scheme to reformulate it. We test the model in realistic case studies representative of an Australian carsharing operator. A sensitivity analysis on total travel demand, system capacity, one-way trip price, and vehicle availability coefficient is undertaken to evaluate their impacts on system profit. The results reveal that the pattern of profit over trip price varies across scenarios with different vehicle availability coefficients and travel demand. The profit-efficiency of enlarging carsharing network is also dependent on travel demand. We conclude that the interdependence between demand and supply should be considered when setting network development plans and pricing strategies in one-way carsharing systems. If there is a strong interaction between demand and supply, the supply of carsharing vehicles has a critical impact on system profit.

Suggested Citation

  • Sisi Jian & David Rey & Vinayak Dixit, 2019. "An Integrated Supply-Demand Approach to Solving Optimal Relocations in Station-Based Carsharing Systems," Networks and Spatial Economics, Springer, vol. 19(2), pages 611-632, June.
    • Handle: RePEc:kap:netspa:v:19:y:2019:i:2:d:10.1007_s11067-018-9401-6
    DOI: 10.1007/s11067-018-9401-6
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    References listed on IDEAS

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    Cited by:

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    2. Henry, Elise & Furno, Angelo & Faouzi, Nour-Eddin El & Rey, David, 2022. "Locating park-and-ride facilities for resilient on-demand urban mobility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).
    3. Huang, Wei & Huang, Wentao & Jian, Sisi, 2022. "One-way carsharing service design under demand uncertainty: A service reliability-based two-stage stochastic program approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    4. Lu Cheng & Zhifu Mi & D’Maris Coffman & Jing Meng & Dining Liu & Dongfeng Chang, 2022. "The Role of Bike Sharing in Promoting Transport Resilience," Networks and Spatial Economics, Springer, vol. 22(3), pages 567-585, September.
    5. Huang, Wentao & Jian, Sisi & Rey, David, 2024. "Non-additive network pricing with non-cooperative mobility service providers," European Journal of Operational Research, Elsevier, vol. 318(3), pages 802-824.
    6. Feng, Xiaoyan & Sun, Huijun & Wu, Jianjun & Liu, Zhiyuan & Lv, Ying, 2020. "Trip chain based usage patterns analysis of the round-trip carsharing system: A case study in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 140(C), pages 190-203.

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