需求波动下考虑乘运供应能力的网约车平台动态定价
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作者单位:

东华大学

作者简介:

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中图分类号:

F224

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)


Dynamic Pricing for Ride-Hailing Platform with Demand Fluctuation and Ridesharing Supply Capacity
Author:
Affiliation:

Donghua University

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    “共享经济”理念下的网约车平台需求具有随机发生和波动变化的特点。针对乘车需求波动导致不同供需状态下的网约车平台定价问题,运用最优控制方法,以平台期望收益最大化为目标,构建乘运供应能力下的平台动态定价模型,并基于庞特里亚金极大值原理及模型推导,求得最优动态价格解以及平台乘运供应率和需求率的变化轨迹。研究表明:网约车平台的最优价格动态影响乘运供应,且随着市场乘车需求的波动而动态变化;尤其是乘车高峰需求时,最优动态价格将显著减少乘车需求订单的延误。最后,通过数值仿真验证了模型结论并进一步探讨了平台服务质量和市场乘车需求变化系数对最优价格和期望收益的影响。

    Abstract:

    The demand of ride-hailing service applied the concept of "sharing economy" has the characteristics of stochastic and fluctuating. To pricing problems of ride-hailing platform with different conditions of supply and demand under demand fluctuation. Using optimal control theory, the platform dynamic pricing model under the capacity of ridesharing supply in which the object is to maximize platform expected profit is constructed. The optimal solution is deducted using Pontryagin maximum principle, and, the demand rate and supply rate is presented. Results show that the optimal price of ride-hailing platform dynamically adjusts the ridesharing supply and varied with the ride demand fluctuations. Especially, the delay of demand orders will be reduced significantly through the optimal dynamic price in peak demand. Finally, numerical experiments are conducted to justify the model and to further explore the influence of service quality of platform and variation coefficient of market demand on optimal price and expected revenue.

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历史
  • 收稿日期:2019-06-20
  • 最后修改日期:2020-11-20
  • 录用日期:2020-03-17
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