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Integrated reward scheme and surge pricing in a ridesourcing market


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


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

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    References listed on IDEAS

    1. Ramon Caminal, 2012. "The Design and Efficiency of Loyalty Rewards," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 21(2), pages 339-371, June.
    2. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2001. "Reward Programs and Tacit Collusion," Marketing Science, INFORMS, vol. 20(2), pages 99-120, June.
    3. Mark Armstrong, 2006. "Competition in two‐sided markets," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 668-691, September.
    4. 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.
    5. Jean-Charles Rochet & Jean Tirole, 2014. "Platform Competition in Two-Sided Markets," CPI Journal, Competition Policy International, vol. 10.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Roson Roberto, 2005. "Two-Sided Markets: A Tentative Survey," Review of Network Economics, De Gruyter, vol. 4(2), pages 1-19, June.
    11. Chen, Yiwei & Wang, Hai, 2018. "Pricing for a Last-Mile Transportation System," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 57-69.
    12. 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.
    13. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    14. Sushil Bikhchandani, 2020. "Intermediated surge pricing," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 29(1), pages 31-50, January.
    15. 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.
    16. Gandomi, A. & Zolfaghari, S., 2013. "Profitability of loyalty reward programs: An analytical investigation," Omega, Elsevier, vol. 41(4), pages 797-807.
    17. Byung-Do Kim & Mengze Shi & Kannan Srinivasan, 2004. "Managing Capacity Through Reward Programs," Management Science, INFORMS, vol. 50(4), pages 503-520, April.
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    Cited by:

    1. Chen, Xiqun (Michael) & Zheng, Hongyu & Ke, Jintao & Yang, Hai, 2020. "Dynamic optimization strategies for on-demand ride services platform: Surge pricing, commission rate, and incentives," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 23-45.


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