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Carsharing Vehicle Fleet Selection from the Frequent User’s Point of View

Author

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  • Katarzyna Turoń

    (Department of Road Transport, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 8 Krasińskiego Street, 40-019 Katowice, Poland)

Abstract

Short-term car rental services, i.e., carsharing, is a solution that has been developing better and better in urban transport systems in recent years. Along with intensive expansion, service providers have to face an increasing number of challenges to compete with each other. One of them is meeting the expectations of customers about the fleet of vehicles offered in the system. While this aspect is noticed in the literature review mainly in terms of fleet optimization and management, there is a research gap regarding the appropriate selection of vehicle models. In response, the article was dedicated to identifying the vehicles that were best suited to carsharing systems from the point of view of frequent customers. The selection of appropriate vehicles was treated as a multi-criteria decision issue, therefore the study used one of the multi-criteria decision support methods—ELECTRE III. The work focuses on researching the opinions of users (experts) who often use carsharing services in Poland. The study included a list of the most popular vehicles in Europe in 2021, including classic, electric, and hybrid cars, and a list of 11 evaluation criteria. The research results indicate for frequent users the advantage of conventional drive vehicles over electric and hydrogen vehicles. Moreover, they indicate that the best vehicles are relatively large cars (European car segments C and D) with the greatest possible length, boot capacity, engine power, number of safety systems, and quality. On the other hand, the least important issues are the number of seats in the vehicle and the number of doors. Interestingly, the vehicles selected by frequent users questioned the concept of small city cars, which occupied a small public space on which carsharing was supposed to focus. The results obtained support the operators of carsharing services in making fleet decisions.

Suggested Citation

  • Katarzyna Turoń, 2022. "Carsharing Vehicle Fleet Selection from the Frequent User’s Point of View," Energies, MDPI, vol. 15(17), pages 1-14, August.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:17:p:6166-:d:897099
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    References listed on IDEAS

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    1. Huang, Kai & An, Kun & Correia, Gonçalo Homem de Almeida, 2020. "Planning station capacity and fleet size of one-way electric carsharing systems with continuous state of charge functions," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1075-1091.
    2. 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.
    3. Martin, Layla & Minner, Stefan, 2021. "Feature-based selection of carsharing relocation modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    4. Katarzyna Turoń & Andrzej Kubik & Feng Chen, 2022. "What Car for Car-Sharing? Conventional, Electric, Hybrid or Hydrogen Fleet? Analysis of the Vehicle Selection Criteria for Car-Sharing Systems," Energies, MDPI, vol. 15(12), pages 1-14, June.
    5. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    6. Nourinejad, Mehdi & Roorda, Matthew J., 2014. "A dynamic carsharing decision support system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 36-50.
    7. 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.
    8. Paweł Ziemba, 2020. "Multi-Criteria Stochastic Selection of Electric Vehicles for the Sustainable Development of Local Government and State Administration Units in Poland," Energies, MDPI, vol. 13(23), pages 1-19, November.
    9. 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.
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    Cited by:

    1. Katarzyna Turoń, 2022. "Multi-Criteria Analysis of the Selection of Vehicles with Electric, Hybrid, and Conventional Drive for Car-Sharing Services from the Perspective of Polish Occasional System Users," Energies, MDPI, vol. 15(23), pages 1-13, November.

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