Pricing model of ride-hailing platform considering rationally inattentive passengers

IF 3.3 3区工程技术 Q2 TRANSPORTATION

Transportation Letters-The International Journal of Transportation Research Pub Date : 2025-07-03 DOI:10.1080/19427867.2024.2400820

Chuan-Lin Zhao , Yangqi Sun , Haijuan Wu , Dongbao Niu

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引用次数: 0

Abstract

The ride-hailing services are booming in our daily lives, but it is unclear that how the platforms should set prices to maximize their profits when facing one kind of rationally inattentive passengers in a two-sided market. To fill this gap, we establish a profit maximization model for the ride-hailing platform based on queuing theory and rational inattention theory and analyze the properties of the model. Numerical examples are presented to demonstrate the impacts of perceived high and low service levels, information cost and prior belief on the optimal price and commission rate of the ride-hailing platform. The results show that (1) for different cities, there is always an optimal pricing strategy to maximize the profit of the platform. (2) To ensure maximum profit, the platform should disclose the service information of ride-hailing as much as possible, but also maintain the unknownness of ride-hailing services appropriately.

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考虑理性注意力不集中乘客的网约车平台定价模型

网约车服务在我们的日常生活中蓬勃发展，但在一个双边市场中，面对一类理性不专心的乘客，平台应该如何定价以实现利润最大化，这一点尚不清楚。为了填补这一空白，我们基于排队论和理性注意力不集中理论建立了网约车平台的利润最大化模型，并分析了模型的性质。通过数值算例分析了感知服务水平高低、信息成本和先验信念对网约车平台最优价格和佣金率的影响。结果表明：(1)对于不同的城市，总存在一个最优的定价策略，使平台的利润最大化。(2)为保证利润最大化，平台在尽可能公开网约车服务信息的同时，适当保持网约车服务的不可知性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Transportation Letters-The International Journal of Transportation Research TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

6.40

自引率

14.30%

发文量

审稿时长

>12 weeks

期刊介绍： Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.