| Citation: | XING Zhiwei, WEN Tao, LUO Qian, et al. Utility value driven passenger travel dynamic study and modeling[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(2): 250-256. doi: 10.13700/j.bh.1001-5965.2017.0144(in Chinese)
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In order to explore the characteristics and mechanism of passenger travel behavior in the traffic system, the statistical analysis of the passenger travel pattern is studied based on the actual airport departure of the landside passenger travel data. It is found that the behavior of passenger gathering has strong paroxysmal feature, the interval time distribution about different passenger groups has a power-law characteristic, and the power is proportional to the intensity of paroxysmal feature. Meanwhile, passenger traveling transfer decision-making is a kind of utility value driven human behavior considering many factors such as time, cost, convenience and comfort, and emergency. Accordingly, a utility value driven travel behavior dynamic model is proposed, from which power-law distribution with an adjustable power exponent can be obtained. The simulation results of the dynamic model are consistent with the analysis results of empirical data.
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