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A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective

Author

Listed:
  • Qin Yang

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Jinfeng Liu

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Xing Liu

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Cejun Cao

    (School of Business Planning, Chongqing Technology and Business University, Chongqing 400067, China
    College of Management and Economics, Tianjin University, Tianjin 300072, China)

  • Wei Zhang

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

Abstract

With regard to task distribution in a ridesharing company, both the suitability of the tasks assigned to the drivers and the acceptability of the riders receiving the service should be simultaneously considered to improve the sustainability regarding Hitch services. Firstly, the process of the bi-directional choice between the drivers and the riders is described as a one-to-one two-sided matching problem. Next, prospect theory is used to characterize the psychological perceived behavior of both sides towards the matching scheme under the multiple criteria. Thus, the suitability function concerning the drivers and the acceptability function regarding the riders are naturally constructed. Following this, a two-sided matching decision model with two objectives is proposed. Finally, numerical experiments are presented to verify the feasibility and effectiveness of the proposed model. Besides, managerial insights associated with how to set the optimization objectives under unbalanced supply-demand in ridesharing companies are given. Increasingly, this paper aims to not only validate the proposed methodology, but also to highlight the importance and urge of incorporating sustainability into the task distribution problem in ridesharing.

Suggested Citation

  • Qin Yang & Jinfeng Liu & Xing Liu & Cejun Cao & Wei Zhang, 2019. "A Two-Sided Matching Model for Task Distribution in Ridesharing: A Sustainable Operations Perspective," Sustainability, MDPI, vol. 11(7), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:7:p:2187-:d:222096
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    References listed on IDEAS

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    2. Jinyu Wei & Zihan Liang & Yaoxi Liu & Xin Yang, 2023. "Resource Matching in the Supply Chain Based on Environmental Friendliness under a Smart Contract," Sustainability, MDPI, vol. 15(2), pages 1-22, January.

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