Abstract:

In order to improve market penetration and meet the differentiated needs of passengers， ridesharing enterprises explore the “dual platform” operation mode on the basis of the existing single platform. The multi-agent simulation and Hotelling model are integrated to construct a “dual platform” pricing simulation model for ridesharing enterprises. Among them， the Hotelling model is combined to analyze the impact of vehicle service quality， vehicle loyalty， and passenger price sensitivity on the “dual platform” pricing of enterprises under joint pricing strategies， and further it is compared with independent pricing and monopoly pricing strategies. At the same time， a multi-agent model considering individual dynamic behavior rules is designed using computational experiments to simulate the operating scenario of ridesharing enterprises in Repast， Explore the optimal pricing strategy. It is found that： when the service quality of new platform vehicles is low or passenger price sensitivity is low， enterprises should not implement a “dual platform” strategy； If enterprises implement the “dual platform” strategy， they should adopt a joint pricing strategy； Under the “dual platform” joint pricing strategy， vehicle service quality， vehicle loyalty， and passenger price sensitivity will all affect platform pricing behavior. It provides theoretical guidance for optimizing operational strategies of ridesharing enterprises in this article.

Key words: dual platform, ridesharing platforms, agent, joint pricing