Abstract
This paper has analyzed passenger flows' characteristics of Beijing-Guangzhou high-speed railway based on the ticket data of 2013 January, including passengers' distribution on the ranges of trip distance and passengers' composition in each range. Furthermore, it concentrated on analyzing preferences on passenger's choice behavior among the passengers of different OD pairs and the difference between weekday and weekend on passenger's behavior. The result shows short journey passenger had lower sensitivities on ticket price and travel speed, the selection of passengers from low-level node to high-level node on departure time had obvious clustering effect. With the increase of trip distance, the sensitivities of passengers on ticket price, travel speed and originating train would increase correspondingly. The paper's conclusion has referential meaning for researches on the optimization of high-speed railway transport organization.
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