Passenger share research of different transport models will help the transport sector to develop a more rational operating strategy and provide an important basis for the future transport planning and construction. The development of the Agent theory provides a new direction for the simulation of the passenger share. In this paper, we use the Agent theory combining with the Genetic Algorithms to simulate the passenger share of the four travel modes (the High-speed rail, the common rail, the highways and the civil aviation) in the ShangHai-NanJing transport line. First, we consider each passenger as an Agent according to the Agent theory, and then design the passenger’s travel choice and transform mechanism according to the passenger’s travel choice behavior. Second, this paper has used the genetic algorithm to design the passengers’ interaction mechanism under the interaction in the passengers’ travel choice, including the elimination, crossover and mutation mechanism. Third, we choose the five factors, such as Security, Convenience, Comfort, Ticket Price and Train speed to be the indexes to evaluate the passenger’s satisfaction and conducted a questionnaire survey in the ShangHai-NanJing transport Line. Based on this, this paper uses the entropy theory to get the weight of different types of travelers to different factors and establishes evaluation criteria for the passenger’s satisfaction. At last we use the dates that surveyed in the ShangHai-NanJing transport line to simulate the passenger share of the four transport models (the High-speed rail, the common rail, the highways and the civil aviation) and the characteristic of each type of passenger flow structure. Based on the result of the passenger share simulation, we have also analyzed the sensitivity of the five factors (Security, Convenience, Comfort, Ticket Price and Speed) that affect the passenger’s travel choice and researched how these travel factors affect the passengers’ travel choice and the passenger share of different travel modes.

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