主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

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普通服务还是高端服务? 网约车服务模式对平台利润、消费者剩余与司机剩余的影响

刘小茜, 宋宇豪, 林晓刚, 周永务, 金康宁, 钟镇涛   

  1. 广州商学院, 广东 511363 中国
    广东工业大学管理学院, 广东 510520 中国
    华南理工大学工商管理学院, 广东 510641 中国
  • 收稿日期:2025-09-22 修回日期:2026-04-25 接受日期:2026-06-05
  • 通讯作者: 金康宁
  • 基金资助:
    国家自然科学基金(72001048); 国家自然科学基金(72471063); 国家自然科学基金(72471094); 国家社会科学基金重大项目(22&ZD082); 教育部人文社会科学研究项目(22YJC630079); 广东省基础与应用应用基础研究基金(2023A1515010857); 广东省基础与应用应用基础研究基金(2021A1515011969); 广东省哲学社会科学规划项目(GD23XGL023)

Ordinary or Premium Service Model? Impacts on Ride-sharing Platform's Profits, Consumer Surplus and Driver Surplus

  1. , 511363, China
    , 510520, China
    , 510641, China
  • Received:2025-09-22 Revised:2026-04-25 Accepted:2026-06-05

摘要: 在共享出行市场中, 一些平台会专门购买低质量或高质量的车辆并出租给司机, 从而分别提供普通型服务或高端型服务 (以下简称“普通型服务模式”和“高端型服务模式”)。 本文研究了两种不同运营模式对平台利润、消费者剩余和司机剩余的影响。 我们考虑一个共享出行平台, 该平台首先决定购买低质量或高质量的车辆, 然后设定向消费者收取的乘车价格以及向司机收取的租车费用 (工资)。 如果平台仅购买低质量 (高质量) 车辆, 则司机只能租用低质量 (高质量) 车辆并提供普通型 (高端型) 服务。 消费者和司机的决策不仅受到平台制定的支付条件的影响, 还受到系统内网络外部效用的作用。 研究结果表明, 只有当普通型与高端型服务模式之间的保留工资差异较大时, 平台才应选择普通型服务模式;并且在这一条件下, 消费者剩余和司机剩余也更高。 进一步地, 只有在保留工资差异较大的情况下, 普通型服务模式才能实现平台、消费者和司机的“三赢”局面;而当保留工资差异较小时, 高端型服务模式则更可能实现这一目标。 最后, 本文通过数值分析, 探讨了不同参数对实现“三赢”结果可能性的影响。

关键词: 共享经济, 共享出行平台, 网络外部性, 剩余, 纵向差异化

Abstract: The rapid development of ride-sharing services has made service differentiation an important operational decision for platform firms. In practice, some platforms provide ordinary services with relatively low vehicle quality and operating costs, whereas others provide premium services with higher vehicle quality, stricter service standards, and higher operating costs. These two service models differ not only in service quality and cost structure, but also in their effects on consumer participation, driver participation, and platform profitability. This study investigates how a monopolistic ride-sharing platform chooses between ordinary and premium service models, and how this choice affects platform profit, consumer surplus, and driver surplus when participation on both sides of the market is endogenously determined. We develop an analytical framework that incorporates network externalities, where the platform sets the price for consumer and the wage for driver under each service model, and both consumers and drivers decide whether to participate based on their respective utilities. Consumer decisions depend on service quality, price, and network effects, while driver decisions are influenced by earnings, costs, and matching probabilities. Our analysis shows that the premium service model is not always optimal. When the reservation wage gap between ordinary-service and premium-service drivers is sufficiently large, the ordinary service model yields higher platform profit and may also improve consumer surplus and driver surplus. This is because lower driver wage expectations and lower vehicle procurement costs allow the platform to attract sufficient driver supply and consumer demand at a relatively low price. When the reservation wage gap is small, the cost advantage of the ordinary service model weakens, and the premium service model becomes more favorable because higher service quality supports a higher ride price and improves surplus on both sides of the market. Thus, a win-win-win outcome can arise under the ordinary service model when the reservation wage gap is large, whereas it can arise under the premium service model when the gap is small. Numerical experiments further examine how the win-win-win regions vary with market size, driver supply, network externality intensity, service-quality differences, vehicle procurement-cost differences, and rental-cost differences. An extension considering drivers’ multi-homing behavior confirms the qualitative robustness of the main results. This study contributes to the operations management literature on ride-sharing platforms, two-sided markets, and vertically differentiated services by integrating service-mode choice, endogenous participation, and welfare comparison into a unified framework. It also provides implications for platform service-mode selection and differentiated regulation.

Key words: sharing economy, ride-sharing platform, network externality, surplus, vertical differentiation