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Ride solo or pool: Designing price-service menus for a ride-sharing platform

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  • Jacob, Jagan
  • Roet-Green, Ricky

Abstract

A ride-sharing platform (RSP), such as Uber or Lyft, can sometimes offer passengers an option to share (pool) the ride with fellow passengers. On the one hand, a passenger who pools benefits from paying a lower fare and the RSP benefits from increasing occupancy per car, thereby serving more passengers. On the other hand, a passenger who pools takes more time, on average, to reach her destination and may have to share the ride with a stranger, and the RSP gets a lower profit margin per passenger than from solo rides. We develop a queueing model to find the RSP’s optimal revenue in equilibrium when passengers are strategic and drivers are independent agents, and design the RSP’s revenue-maximizing price-service menu. We find that offering both solo and pooled rides is optimal when the distribution of passenger-type is not skewed and congestion is not high. Counter intuitively, when congestion is high, the RSP benefits from offering only one ride choice. Simulation-based results extend these findings when more than one route exists. We provide a numerical example based on real-life data. When the number of drivers is endogenous, equilibrium revenue per driver can decrease when the passenger arrival rate increases.

Suggested Citation

  • Jacob, Jagan & Roet-Green, Ricky, 2021. "Ride solo or pool: Designing price-service menus for a ride-sharing platform," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1008-1024.
  • Handle: RePEc:eee:ejores:v:295:y:2021:i:3:p:1008-1024
    DOI: 10.1016/j.ejor.2021.03.058
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    Cited by:

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    3. Sui, Ronghua & Zhang, Xumei & Dan, Bin & Zhang, Haiyue & Liu, Yi, 2023. "Bilateral value-added service investment in platform competition with cross-side network effects under multihoming," European Journal of Operational Research, Elsevier, vol. 304(3), pages 952-963.
    4. Yining Liu & Yanfeng Ouyang, 2022. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Papers 2208.02219, arXiv.org, revised Jun 2023.
    5. Li, Manzi & Jiang, Gege & Lo, Hong K., 2022. "Pricing strategy of ride-sourcing services under travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    6. Zhongbin Wang & Yunan Liu & Lei Fang, 2022. "Pay to activate service in vacation queues," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2609-2627, June.
    7. Liu, Yining & Ouyang, Yanfeng, 2023. "Planning ride-pooling services with detour restrictions for spatially heterogeneous demand: A multi-zone queuing network approach," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    8. Hao, Wu & Martin, Layla, 2022. "Prohibiting cherry-picking: Regulating vehicle sharing services who determine fleet and service structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    9. Ke, Jintao & Chen, Xiqun (Michael) & Yang, Hai & Li, Sen, 2022. "Coordinating supply and demand in ride-sourcing markets with pre-assigned pooling service and traffic congestion externality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    10. Jun Tu & Juan Du & Min Huang, 2023. "Competition between Green and Non-Green Travel Companies: The Role of Governmental Subsidies in Green Travel," Sustainability, MDPI, vol. 15(9), pages 1-33, May.
    11. Bahrami, Sina & Nourinejad, Mehdi & Nesheli, Mahmood Mahmoodi & Yin, Yafeng, 2022. "Optimal composition of solo and pool services for on-demand ride-hailing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    12. Zhu, Zheng & Xu, Ailing & He, Qiao-Chu & Yang, Hai, 2021. "Competition between the transportation network company and the government with subsidies to public transit riders," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    13. Zhong, Yuanguang & Lan, Yibo & Chen, Zhi & Yang, Jiazi, 2023. "On-demand ride-hailing platforms with heterogeneous quality-sensitive customers: Dedicated system or pooling system?," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 247-266.
    14. Feng, Nan & Xu, Nan & Feng, Haiyang & Li, Minqiang, 2022. "Turn on instant booking or not? Decisions of rival hosts," Annals of Tourism Research, Elsevier, vol. 96(C).
    15. Li, Manzi & Jiang, Gege & Lo, Hong K., 2023. "Optimal cancellation penalty for competing ride-sourcing platforms under waiting time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    16. Hung Q. Nguyen & Tuan Phung-Duc, 2022. "Strategic customer behavior and optimal policies in a passenger–taxi double-ended queueing system with multiple access points and nonzero matching times," Queueing Systems: Theory and Applications, Springer, vol. 102(3), pages 481-508, December.
    17. Ravula, Prashanth, 2022. "Monetary and hassle savings as strategic variables in the ride-sharing market," Research in Transportation Economics, Elsevier, vol. 94(C).
    18. Chen, Mingyang & Zhao, Daozhi & Gong, Yeming & Rekik, Yacine, 2022. "An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing," International Journal of Production Economics, Elsevier, vol. 243(C).
    19. Kanatlı, Mehmet Ali & Karaer, Özgen, 2022. "Servitization as an alternative business model and its implications on product durability, profitability & environmental impact," European Journal of Operational Research, Elsevier, vol. 301(2), pages 546-560.

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