IDEAS home Printed from https://ideas.repec.org/a/eee/transb/v134y2020icp126-142.html
   My bibliography  Save this article

Integrated reward scheme and surge pricing in a ridesourcing market

Author

Listed:
  • Yang, Hai
  • Shao, Chaoyi
  • Wang, Hai
  • Ye, Jieping

Abstract

Surge pricing is commonly used in on-demand ridesourcing platforms to dynamically balance demand and supply, although it is controversial and has long stimulated debate regarding its pros and cons. In practice, there is usually a reasonable or legitimate range of prices. However, such a constrained surge-pricing strategy may fail to balance demand and supply in certain cases—e.g., even adopting the highest allowed price cannot reduce peak-period demand to a level at which the market clears without some form of non-price rationing. To address this limitation, we propose a novel reward scheme integrated with surge pricing: Passengers pay an additional amount to a reward account on top of the regular surge price during peak hours, then use the balance in their reward account to subsidize trips during off-peak hours. We propose models to describe the number of travel requests and the number of active drivers on the platform, and characterize the market equilibrium under several assumptions. We compare scenarios with and without the reward scheme from three perspectives: passenger utility, driver income, and platform revenue and profit. We find that in some situations, all three stakeholders—i.e., passengers, drivers, and the platform—will be better off under the reward scheme integrated with surge pricing.

Suggested Citation

  • Yang, Hai & Shao, Chaoyi & Wang, Hai & Ye, Jieping, 2020. "Integrated reward scheme and surge pricing in a ridesourcing market," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 126-142.
  • Handle: RePEc:eee:transb:v:134:y:2020:i:c:p:126-142
    DOI: 10.1016/j.trb.2020.01.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0191261519302395
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.trb.2020.01.008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gérard P. Cachon & Kaitlin M. Daniels & Ruben Lobel, 2017. "The Role of Surge Pricing on a Service Platform with Self-Scheduling Capacity," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 368-384, July.
    2. Ramon Caminal, 2012. "The Design and Efficiency of Loyalty Rewards," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 21(2), pages 339-371, June.
    3. Caillaud, Bernard & Jullien, Bruno, 2003. "Chicken & Egg: Competition among Intermediation Service Providers," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 309-328, Summer.
    4. Yang, Hai & Yang, Teng, 2011. "Equilibrium properties of taxi markets with search frictions," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 696-713, May.
    5. Terry A. Taylor, 2018. "On-Demand Service Platforms," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 704-720, October.
    6. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    7. Rajiv Lal & David Bell, 2003. "The Impact of Frequent Shopper Programs in Grocery Retailing," Quantitative Marketing and Economics (QME), Springer, vol. 1(2), pages 179-202, June.
    8. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    9. Sushil Bikhchandani, 2020. "Intermediated surge pricing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(1), pages 31-50, January.
    10. Sun, Hao & Wang, Hai & Wan, Zhixi, 2019. "Model and analysis of labor supply for ride-sharing platforms in the presence of sample self-selection and endogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 76-93.
    11. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2004. "Managing Capacity Through Reward Programs," Management Science, INFORMS, vol. 50(4), pages 503-520, April.
    12. Mark Armstrong, 2006. "Competition in two‐sided markets," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 668-691, September.
    13. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2001. "Reward Programs and Tacit Collusion," Marketing Science, INFORMS, vol. 20(2), pages 99-120, June.
    14. Jiaru Bai & Kut C. So & Christopher S. Tang & Xiqun (Michael) Chen & Hai Wang, 2019. "Coordinating Supply and Demand on an On-Demand Service Platform with Impatient Customers," Manufacturing & Service Operations Management, INFORMS, vol. 21(3), pages 556-570, July.
    15. Caminal, Ramon & Claici, Adina, 2007. "Are loyalty-rewarding pricing schemes anti-competitive?," International Journal of Industrial Organization, Elsevier, vol. 25(4), pages 657-674, August.
    16. Yang, Hai & Tang, Yili, 2018. "Managing rail transit peak-hour congestion with a fare-reward scheme," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 122-136.
    17. Roson Roberto, 2005. "Two-Sided Markets: A Tentative Survey," Review of Network Economics, De Gruyter, vol. 4(2), pages 1-19, June.
    18. Chen, Yiwei & Wang, Hai, 2018. "Pricing for a Last-Mile Transportation System," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 57-69.
    19. Siddharth S. Singh & Dipak C. Jain & Trichy V. Krishnan, 2008. "Research Note--Customer Loyalty Programs: Are They Profitable?," Management Science, INFORMS, vol. 54(6), pages 1205-1211, June.
    20. Gandomi, A. & Zolfaghari, S., 2013. "Profitability of loyalty reward programs: An analytical investigation," Omega, Elsevier, vol. 41(4), pages 797-807.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    2. Li, Xiaonan & Li, Xiangyong & Wang, Hai & Shi, Junxin & Aneja, Y.P., 2022. "Supply regulation under the exclusion policy in a ride-sourcing market," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 69-94.
    3. Ke, Jintao & Li, Xinwei & Yang, Hai & Yin, Yafeng, 2021. "Pareto-efficient solutions and regulations of congested ride-sourcing markets with heterogeneous demand and supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    4. Ke, Jintao & Yang, Hai & Li, Xinwei & Wang, Hai & Ye, Jieping, 2020. "Pricing and equilibrium in on-demand ride-pooling markets," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 411-431.
    5. Bahrami, Sina & Nourinejad, Mehdi & Yin, Yafeng & Wang, Hai, 2023. "The three-sided market of on-demand delivery," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Lin, Xiaogang & Sun, Cuiying & Cao, Bin & Zhou, Yong-Wu & Chen, Chuanying, 2021. "Should ride-sharing platforms cooperate with car-rental companies? Implications for consumer surplus and driver surplus," Omega, Elsevier, vol. 102(C).
    7. Zhen Lian & Garrett van Ryzin, 2021. "Optimal Growth in Two-Sided Markets," Management Science, INFORMS, vol. 67(11), pages 6862-6879, November.
    8. Oksana Loginova & X. Henry Wang & Qihong Liu, 2022. "The impact of multi-homing in a ride-sharing market," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 69(1), pages 239-254, August.
    9. Yang, Jie & Zhao, Daozhi & Wang, Zeyu & Xu, Chunqiu, 2022. "Impact of regulation on on-demand ride-sharing service: Profit-based target vs demand-based target," Research in Transportation Economics, Elsevier, vol. 92(C).
    10. Son, Dong-Hoon & Yang, Hai, 2024. "Strategic use of fare-reward schemes in a ride-sourcing market: An equilibrium analysis," Transport Policy, Elsevier, vol. 146(C), pages 255-278.
    11. Zhou, Yaqian & Yang, Hai & Ke, Jintao & Wang, Hai & Li, Xinwei, 2022. "Competition and third-party platform-integration in ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 159(C), pages 76-103.
    12. Liu, Yang & Li, Sen, 2023. "An economic analysis of on-demand food delivery platforms: Impacts of regulations and integration with ride-sourcing platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    13. 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.
    14. Ke, Jintao & Yang, Hai & Zheng, Zhengfei, 2020. "On ride-pooling and traffic congestion," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 213-231.
    15. 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).
    16. 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.
    17. Tang, Wei & Xie, Ningke & Mo, Dong & Cai, Zeen & Lee, Der-Horng & Chen, Xiqun (Michael), 2023. "Optimizing subsidy strategies of the ride-sourcing platform under government regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    18. Zhu, Zheng & Ke, Jintao & Wang, Hai, 2021. "A mean-field Markov decision process model for spatial-temporal subsidies in ride-sourcing markets," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 540-565.
    19. Zhang, Fangni & Lindsey, Robin & Yang, Hai & Shao, Chaoyi & Liu, Wei, 2022. "Two-sided pricing strategies for a parking sharing platform: Reselling or commissioning?," Transportation Research Part B: Methodological, Elsevier, vol. 163(C), pages 40-63.
    20. Gu, Wei & Heese, H. Sebastian & Kemahlıoğlu-Ziya, Eda & Ziya, Serhan, 2024. "Pricing for services with cross-segment externalities, capacity constraints, and competition," European Journal of Operational Research, Elsevier, vol. 313(2), pages 801-813.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transb:v:134:y:2020:i:c:p:126-142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/548/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.