The Evacuation Structures Analysis And Influencing Factors Analysis Of Arrival Passengers Of Beijing South Railway Station

With the development of economy, the number of trips per capita increased, the inner-problems of railway passenger hub are also increasingly apparent. As important railway passenger hub in Beijing, Beijing South Railway Station undertakes the passenger distribution tasks inside and outside the city. Determining the evacuation structure of arrival passenger in Beijing South Railway Station, integrate the railway hub and urban transport, and making it plays the role in the integrate transportation system, is the starting point of this paper.The main work of this paper includes:1The background and meaning of the study. Based on the review of domestic and international research of ride convergence between railway hub and urban transport, this paper analysed both domestic and international advanced railway passenger hub such as Washington DC Union Station in United States, Paris La Defense station in France, Berlin Hauptbahnhof station in Germany, London Waterloo station in UK, Shanghai South Railway Station, and Chengdu shahepu station etc.2Introduction of the development, location and condition, and internal structure of Beijing South Railway Station. The flow lines of Beijing South Railway Station evacuation transportation were analysed. Considering the actual situation of Beijing South Railway Station, this paper combined Revealed Preference (RP) Survey and Stated Preference (SP) Survey methods to acquire the passenger traffic of Beijing South Railway Station and the choice of evacuation mode as well as its influence factors. Three factors were analysed:properties of travelers, travel features, and the inherent properties of the evacuation mode.3Basic theory of evacuation mode. The disaggregate Multinomial Logit (MNL) Model was selected as the structure analysis model of arrival passenger evacuation mode in Beijing South Railway Station. The bivariate correlation analysis and partial correlation analysis were used to analysis the influence factor, while the non-significant influence factors were excluded based on the results of bivariate correlation analysis. The SPSS software were used to solve and have parametric tests the Beijing South Railway Station arrival passenger evacuation MNL model in order to predict the split ratio of arrivall passenger evacuation mode.4Conclusion of this research, deficiency and future approach. This paper has10Figures,40Tables, and59References.