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Analysis on the Dynamic Pricing Strategies and User Choice Behaviors of Online Car-hailing Platforms under the Sharing Economy Model

作者:Bai Jiang

院校:Anyang Institute of Technology, Henan Anyang, 455099

摘要:This research focuses on the dynamic pricing strategies and user choice behaviors of online car-hailing platforms within the sharing economy model. It commences with an introduction to the research background, objectives, and the current status of related studies at home and abroad. The theoretical foundation is then laid, covering sharing economy theory, dynamic pricing theory, and user choice behavior theory. The dynamic pricing strategies of online car-hailing platforms are analyzed in detail, including pricing factors (such as supply and demand, cost, and market competition), pricing models (surge pricing, time-of-use pricing, and zone pricing), and pricing algorithm and optimization. User choice behaviors in response to dynamic pricing are also explored, considering aspects like user perception and acceptance of dynamic pricing, factors affecting user choice (price sensitivity, service quality, and travel time convenience), and user choice models and empirical analysis. The interaction between dynamic pricing strategies and user choice behaviors is examined through a feedback mechanism and equilibrium analysis. Case studies of representative platforms like Uber, Lyft, and Didi Chuxing are presented to illustrate their specific strategies and user responses. Policy implications and recommendations for regulatory policies and platform selfregulation are provided. Finally, the research findings are summarized, and the limitations and future directions of the research are discussed.

关键词

Sharing Economy; Online Car-hailing Platform; Dynamic Pricing Strategy; User Choice Behavior; Pricing Algorithm; Service Quality

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参考

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[2] Castillo, E., Knoepfle, D., & Veloso, M. (2018). Dynamic pricing in ridesourcing platforms: A survey. ACM Computing Surveys (CSUR), 51(2), 1-36.

[3] Liu, Y., & Shen, Z. J. (2019). Pricing and matching in on-demand ride-hailing services. Production and Operations Management, 28(2), 365-383.

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[5] Zhang, R., & Zhang, Y. (2017). A survey on dynamic pricing in transportation and hospitality. Transportation Research Part B: Methodological, 106, 37-51.

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