Research On Pricing Strategy Of Intercity Railway Based On Passenger Preference

Intercity railway is the main mode of transportation in urban clusters.Especially in key urban agglomerations,a large-scale,fully covered and smoothly connected railway network has been formed,which drives urban economic development and facilitates regional passenger travel.However,the current static and unified fare system cannot give full play to the role of regulating the transport market,resulting in a low adaptability between passenger travel demand and the seat capacity of intercity railway,which affects the improvement of the income of railway transport enterprises.At the same time,as the comfort level of intercity railway trains,travel time and other factors have little difference,the main factors affecting passenger travel choice behavior are departure and arrival time.Therefore,in this paper,based on the study of passenger travel choice behavior,time-sharing pricing optimization strategies and dynamic pricing strategies are formulated to meet passenger needs and increase the income of railway transportation enterprises.The main research results of this paper are as follows:(1)Analyze the basic theory of intercity railway fares,including summarizing the influencing factors of intercity railway fares,exploring the pricing model and its applicability,studying domestic and foreign railway fare systems,as well as the conditions for implementing fare optimization.It provides theoretical support for implementing time-sharing pricing and dynamic pricing of intercity railway.(2)Study the choice of intercity railway travel and its influencing factors.Based on the analysis of passenger travel process and factors affecting travel choice,a passenger travel choice model is built according to random utility and utility maximization theory,and passengers are classified according to cross attributes and given weight to transport supply factors.(3)Through the analysis of time-sharing pricing of intercity railway trains,the operation period is divided,the main factors affecting intercity passengers are quantified,the generalized cost function is constructed,and the two-layer programming model with the upper layer taking the income balance of railway transportation enterprises as the target,the ticket price as the upper decision-making variable,the lower layer taking the minimum generalized cost of intercity railway passengers as the target and the passenger flow as the lower decision-making variable is established.Three fare adjustment schemes are proposed and MSA algorithm based on Logit is designed to solve them.Taking Beijing-Tianjin intercity Railway as an example,the three schemes can balance passenger flow and are suitable for different market environments.(4)Through the dynamic pricing analysis of intercity railway trains,the utility function analysis of passengers and the quantification of passengers’ willingness to pay are carried out to construct the selection model of various passengers for intercity trains during the pre-sale period,with the goal of maximizing the income of railway transportation enterprises,and the simulated annealing algorithm is designed to solve the problem through the analysis and solving process.Taking Beijing-Tianjin Intercity Railway as an example,the dynamic pricing model can improve the income of railway transportation enterprises in both peak and peak periods.