Research on Seat Optimization Strategy and Passenger Choice Behavior of High-Speed Rail Operators Based on Evolutionary Game Theory

Based on evolutionary game theory, this study explores the dynamic relationship between seat optimization strategies of highspeed rail operators and passengers' choice behavior. A game model is constructed to study the game evolution process of two types of travelers. From the model game matrix, the replicated dynamic equations and equilibrium point expressions are calculated, which are divided into eight scenarios according to the parameter categories, and based on the results of the evolutionary stability, the parameters are assigned values, and the influence of the relevant parameters on the evolutionary results is discussed. The results of the study show that the behaviors of high-speed rail operators and passengers are affected by the factors of market competition, seat optimization costs, fare adjustments, and the loss of passenger churning, and the establishment of the model can provide the establishment of this model can provide high-speed rail operators with scientific decision support for seat, helping them to revenue while enhancing passenger comfort.