Two-stage Research On Multimodal Shared Mobility Application Based On Evolutionary Game

With the development of urbanization and industrialization,the number of motor vehicles in China has increased rapidly,which has brought great pressure to the urban environment and transportation.At the same time,the development of China’s Internet technology and the growth of residents’ transportation supply and demand,the transportation modes in the city are also constantly diversifying.In order to cope with the severe challenges of urban traffic congestion,pollution,high energy consumption and other severe challenges,it is of great significance to apply the innovative practice of multimodal shared mobility to cities to better meet the travel needs of users to a certain extent,alleviate traffic congestion and environmental pollution,and build a personalized,intelligent and sustainable cooperative transportation system for cities.This paper takes the application of multimodal shared mobility in cities as the research object,and studies the two stages involved in its urban application based on evolutionary game theory.By establishing a three-way evolutionary game model of users,enterprises and governments,the cooperation strategy choices of users,enterprises and governments in the early stage of urban promotion of multimodal shared mobility are explored from the micro level.By copying the dynamic equation to explore the Micro-Decomposition satisfying Lyapunov stability,and the equilibrium point is obtained through parameter analysis in various situations,various influencing factors are obtained,which provides a theoretical reference for multimodal shared mobility in the early promotion stage.In order to explore the situation of multimodal shared mobility in the stage of extensive urban operation,by studying the process of users’ choice of travel mode,a two-party evolutionary game model is established,and the stability point obtained by solving the asymptotic stable point by replicating the dynamic equation is used to analyze the relevant factors affecting the user’s travel mode choice.In order to verify the feasibility of the analysis results of the relevant theoretical model,Matlab software is used for numerical simulation.In order to explore the dynamic selection process of simulated users,enterprises and governments on the strategy of multimodal shared mobility in the early promotion of cities under different initial values,the influencing factors affecting the evolution results are explored by the control variable method.Under different initial values,the dynamic changes of users’ choices of multimodal shared mobility,single shared travel and non-shared travel are simulated,and the relevant factors affecting users’ choice of travel mode are analyzed.According to the above analysis results,relevant policy suggestions are given to provide relevant policy and theoretical references for the future application of multimodal shared mobility in cities.