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Re-Recognition of Ride-Sourcing Service: From the Perspective of Operational Efficiency and Social Welfare

Author

Listed:
  • Zipeng Zhang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

  • Ning Zhang

    (School of Economics and Management, Beihang University, Beijing 100191, China)

Abstract

With increasing availability of alternative mobility options for city transportation system, it is necessary to better understand how emerging mobility options are impacting the travel demand and consumer-social surplus. However, few study have been conducted to evaluate the social welfare effects of the range of vacant trips in ride-sourcing service modes. This paper identified the vacant trip and loading rate evaluation model under the ride-sourcing service mode to enhance the effective operation of the different mobility services under numerical illustrations. The solution can also offer some beneficial guidance and theoretical basis for ride-sourcing systems in regard to planning and management aspects.

Suggested Citation

  • Zipeng Zhang & Ning Zhang, 2021. "Re-Recognition of Ride-Sourcing Service: From the Perspective of Operational Efficiency and Social Welfare," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8198-:d:599321
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    References listed on IDEAS

    as
    1. Wong, K. I. & Wong, S. C. & Yang, Hai, 2001. "Modeling urban taxi services in congested road networks with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 35(9), pages 819-842, November.
    2. Ali Enes Dingil & Joerg Schweizer & Federico Rupi & Zaneta Stasiskiene, 2019. "Updated Models of Passenger Transport Related Energy Consumption of Urban Areas," Sustainability, MDPI, vol. 11(15), pages 1-16, July.
    3. Zipeng Zhang & Ning Zhang, 2021. "The Morning Commute Problem with Ridesharing When Meet Stochastic Bottleneck," Sustainability, MDPI, vol. 13(11), pages 1-13, May.
    4. Li, Yanan & Li, Xiang & Zhang, Sicheng, 2021. "Optimal pricing of customized bus services and ride-sharing based on a competitive game model," Omega, Elsevier, vol. 103(C).
    5. Sun, Luoyi & Teunter, Ruud H. & Babai, M. Zied & Hua, Guowei, 2019. "Optimal pricing for ride-sourcing platforms," European Journal of Operational Research, Elsevier, vol. 278(3), pages 783-795.
    6. Wang, Jing-Peng & Ban, Xuegang (Jeff) & Huang, Hai-Jun, 2019. "Dynamic ridesharing with variable-ratio charging-compensation scheme for morning commute," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 390-415.
    7. Xu, Min & Meng, Qiang, 2019. "Fleet sizing for one-way electric carsharing services considering dynamic vehicle relocation and nonlinear charging profile," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 23-49.
    8. Li, Baicheng & Szeto, W.Y., 2021. "Modeling and analyzing a taxi market with a monopsony taxi owner and multiple rentee-drivers," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 1-22.
    9. Li, Yuanyuan & Liu, Yang, 2021. "Optimizing flexible one-to-two matching in ride-hailing systems with boundedly rational users," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    10. Ma, Jie & Xu, Min & Meng, Qiang & Cheng, Lin, 2020. "Ridesharing user equilibrium problem under OD-based surge pricing strategy," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 1-24.
    11. Yang, Hai & Qin, Xiaoran & Ke, Jintao & Ye, Jieping, 2020. "Optimizing matching time interval and matching radius in on-demand ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 131(C), pages 84-105.
    12. Dong, Tingting & Xu, Zhengtian & Luo, Qi & Yin, Yafeng & Wang, Jian & Ye, Jieping, 2021. "Optimal contract design for ride-sourcing services under dual sourcing," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 289-313.
    13. Yang, Hai & Ye, Min & Tang, Wilson H. & Wong, S.C., 2005. "Regulating taxi services in the presence of congestion externality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(1), pages 17-40, January.
    14. Brownstone, David & Golob, Thomas F., 2009. "The impact of residential density on vehicle usage and energy consumption," Journal of Urban Economics, Elsevier, vol. 65(1), pages 91-98, January.
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