The Applied Research Of Game Theory In The Price Management Of Taxi Of Urban Passenger Transport

Nowadays, taxi pricing operators are always trying to affect the price for their own interests. They tend to raise the price as providers while others tend to lower the price as passengers. As a taxi administrative department, how to set the final price to reach the purpose of optimizing the city traffic structure and making full and effective use of road resources?Based on the current situation, this paper tries to set up several game model to study the taxi prices in the relationship among the main, taxi pricing factors and some extended problems, including government and the probability of selection strategy of passengers, the holdings of the taxi, the taxi market position, the taxi industry’s business model, the development of taxi industry and so on. Finally it provides suggestions and comments about the formulation of final taxi price for the factors to be considered and also can provide a frame of reference for the decision of the associated department management.Firstly, this paper sets up a three side’s game model about car pricing, based on the model expected function to analyze the advantages and disadvantages the other two sides have on the one side which has determined its strategy. Meanwhile it analyses how to make the strategy in order to maximize its interest on condition of the other two strategies. Finally we get the game relationship between government and passengers as well as the game-playing equilibrium solution of the mixed strategy.Secondly, through the pricing of four factors:operating costs, urban development, supply and demand, policy analysis of the factors, combined analysis of three games on the pricing of the various factors. We generate an imagination about the development of taxi industry by learning from the management system of London, Shenzhen and Shanghai. Let passengers have a comment on taxi service using the taxi pricing game model and based on this, set up a check and encourage model and have a phase-out on bad service quality taxis even the whole taxi company by examination.Eventually, through the studies, we get the method which can balance the interest between the objects participated in taxi pricing process and the probability that the government raises taxi price as well as the probability whether passengers choose to take taxi with respect to prices. We also generate an imagination about the development of taxi industry by learning from the management system of developed cities and finally solved the contradictions and puzzlements between subjects participated.Combined with the Chengdu taxi related example to analyze and apply, this paper successfully measured the probability of raising taxi price and passengers taking taxi’s probability and the vehicle population of Chengdu taxi.