Research on Dynamic Pricing of Shared Electric Vehicles Based on System Utility Maximization

Abstract

Under the background of sharing economy, in order to improve the utilization rate of vehicle resources and the economic benefits of operators for urban governance, this paper studies the dynamic pricing strategy to maximize the system utility. Firstly, the space-time distribution law, time-varying law and influencing factors of shared cars leased by users are analyzed, and the demand characteristics of users' travel are obtained; then, considering various factors such as operation mode, user acceptance, demand price elasticity and operation cost, the supply and demand balance of single-way electric rental vehicle system based on fixed network points is explored and the pricing strategies of each site in different periods are formulated. Finally, the feasibility of the model is verified by taking the ‘microbus’ electric rental vehicle project in Hangzhou City as an example. The research results can provide theoretical guidance for subsequent promotion and market allocation of urban governance.