Research On Dynamic Pricing Method Of High Speed Railway Passenger Ticket Based On Revenue Management

It is understood that the railway corporation debt approaching four trillion mark,representing an annual growth of nearly 100 billion yuan, a huge debt will undoubtedly become the pain of railway, the pain of high speed rail. In 2016, the State Council will be independent pricing of high-speed railway in the railway corporation by the NDRC, which further strengthened the ability to manage independently of the railway corporation, in the formulation of the problem of high speed railway pricing by revenue management become a significant research subject railway revenue.Revenue management theory is a scientific pricing method, the application of revenue management theory in the process of the accumulation of valuable experience and many successfful cases. According to the idea of revenue management, this paper focuses on the dynamic pricing of high speed railway fares. First, this thesis studied the existing pricing theory for China's high-speed railway passenger ticket pricing situation are introduced and analyzed, for which transport products to do the division level for these research set the tone.Secondly, this paper makes a deep research on dynamic pricing strategy and method of ticket revenue management based on the implementation process of dynamic pricing is designed for single and multi interval multi fare class seats under the multilevel control method is studied ,the use of multiple interval shadow pricing lead multilevel seat control. Refined presents the method for determining the distribution of seats, provides a method for the quantitative analysis of the following. Again, this paper establishes multi interval multi class fare seat control model through the shadow pricing method of multi interval problem is transformed into a predetermined limit for single interval and then control the seat supply,application of dual simplex method to determine the shadow price of each section, and the example is solved, the return fare, for optimization; the application of Excel and Matlab stock, demand for multiple linear fitting and nonlinear multiple regression through the analysis of the test data is to determine the price function in the form of revenue management and related parameters based on the eventual establishment of high speed railway; dynamic pricing model based on revenue management methods, the results obtained with the Lingo software and the model are compared and analyzed that demonstrates the superiority and practical application significance of dynamic pricing model. Finally, some suggestions are put forward on how to use the revenue management to guide the development of high speed railway fare.