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Transport planning is usually based on models’ forecasts, but the reliability of their outputs depends much on the analysis of relationship between transportation modes. The paper considers the access and egress cost of passengers, and put forward a passenger’s total travel cost function. Firstly, we employ the concept of “linear city” to analyze the market share between high-speed rail (HSR) and airline (AIR), with the analyzing the relationship between the two competitors with the non-cooperative game theory. In addition, we take the fixed fare and variable fare rate as decision variables, and establish an optimizing model to calculate the best decision of each mode; then, a heuristic algorithm is developed to solve the model. At last, taking the Wuhan-Guangzhou transportation corridor as example, the model and algorithm are used to calculate the optimizing fares, and analyze change of solutions with different value of time. The result demonstrates that HSR can attract more passengers than AIR in the distance around 1,000km, and the best strategy of AIR is reducing price.

MODEL AND ALGORITHM OF COMPETITION BETWEEN HIGH-SPEED RAILWAY AND AIR TRANSPORT - Game Theory Based