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Carsharing operations policies: a comparison between one-way and two-way systems

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  • Mehdi Nourinejad
  • Matthew Roorda

Abstract

Carsharing organizations are shared-mobility services which allow users to share vehicles of a fleet. These services are divided into one-way and two-way systems. Two-way systems require users to return the vehicles to their original pick up stations whereas one-ways systems do not. We present a hybrid system that has features of both. Two integer programming optimization models are formulated. The first model, called the fleet size problem (FSP), is for tactical planning and calculates the required fleet size in order to answer all the demand in various market segments where every market segment is composed of some direct-trip and some round-trip users. This model also accounts for vehicle relocation between stations. In reality, however, fleet size is fixed for day-to-day operations. With a specified fleet size, not all users are necessarily served unless the fleet size is quite large compared to the demand. Therefore, a second operational model, called profit maximization problem (PMP), selects from a list of user requests those who profit the service-provider the most. Data from Autoshare, a carsharing company in Toronto, is used to assess the models. Results of the FSP model indicate that one-way systems require the lowest fleet size but highest vehicle relocation hours. Two-way systems are relatively insensitive to the market segment and the hybrid system’s performance is dependent on the market segment scenario. The PMP model shows that the one-way (two-way) system is most beneficial to direct-trip (round-trip) users. The hybrid system is the only system without user surplus costs. Copyright Springer Science+Business Media New York 2015

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  • Mehdi Nourinejad & Matthew Roorda, 2015. "Carsharing operations policies: a comparison between one-way and two-way systems," Transportation, Springer, vol. 42(3), pages 497-518, May.
    • Handle: RePEc:kap:transp:v:42:y:2015:i:3:p:497-518
    DOI: 10.1007/s11116-015-9604-3
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    References listed on IDEAS

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    Cited by:

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    2. Nourinejad, Mehdi & Zhu, Sirui & Bahrami, Sina & Roorda, Matthew J., 2015. "Vehicle relocation and staff rebalancing in one-way carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 98-113.
    3. Georgina Santos, 2018. "Sustainability and Shared Mobility Models," Sustainability, MDPI, vol. 10(9), pages 1-13, September.
    4. Liu, Yang & Xie, Jiaohong & Chen, Nan, 2022. "Stochastic one-way carsharing systems with dynamic relocation incentives through preference learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    5. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2019. "Operational Aspects of Electric Vehicles from Car-Sharing Systems," Energies, MDPI, vol. 12(24), pages 1-18, December.
    6. Le Vine, Scott & Polak, John, 2019. "The impact of free-floating carsharing on car ownership: Early-stage findings from London," Transport Policy, Elsevier, vol. 75(C), pages 119-127.
    7. Katarzyna Turoń, 2022. "Selection of Car Models with a Classic and Alternative Drive to the Car-Sharing Services from the System’s Rare Users Perspective," Energies, MDPI, vol. 15(19), pages 1-15, September.
    8. Yoon-Young Chun & Mitsutaka Matsumoto & Kiyotaka Tahara & Kenichiro Chinen & Hideki Endo, 2019. "Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    9. Maurizio Bruglieri & Ferdinando Pezzella & Ornella Pisacane, 2018. "A two-phase optimization method for a multiobjective vehicle relocation problem in electric carsharing systems," Journal of Combinatorial Optimization, Springer, vol. 36(1), pages 162-193, July.
    10. Li, Qing & Liao, Feixiong & Timmermans, Harry J.P. & Huang, Haijun & Zhou, Jing, 2018. "Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 102-123.

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