基于潜在类别方法的铁路-地铁枢纽站内乘客异质性研究

Study on Passenger Heterogeneity in Railway-Metro Hub Stations Based on Latent Class Method

高铁-地铁综合枢纽作为高速铁路和地铁间的衔接节点,承担了大部分乘客的换乘。随着枢纽功能的复合化和客流的不断增长,轨道交通枢纽车站的乘客构成与普通车站有很大区别,与枢纽衔接的地铁车站正常运行面临新的挑战。因此,面向枢纽乘客特征的微观仿真研究有重要意义。本文采用视频拍摄和行人实地跟踪的方法对枢纽地铁车站内乘客进行调查统计,深入分析了枢纽乘客的微观行为,采用二元Logit模型对行人局部路径选择进行分析,重点研究行人面临上行楼梯和扶梯的选择行为。并将乘客楼扶梯选择行为分析结果和年龄、性别、职业、携带行李量和组群等作为外显变量,借助Mplus软件,使用潜在类别理论对乘客类别进行分析,将乘客分为行为有显著差异的4个类别,完成乘客异质性研究。

As the connecting node between high-speed railway and subway,high-speed railway subway comprehensive hub undertakes the transfer of most passengers.With the combination of hub functions and the continuous growth of passenger flow,the passenger composition of rail transit hub stations is very different from ordinary stations.The normal operation of subway stations connected with hubs is facing new challenges.Therefore,the micro simulation research for hub passenger characteristics is of great significance.This paper uses the methods of video shooting and pedestrian field tracking to investigate and count the passengers in the hub subway station,deeply analyzes the micro behavior of the hub passengers,uses the binary logit model to analyze the local path selection of pedestrians,and focuses on the selection behavior of pedestrians facing up stairs and escalators.Taking the analysis results of escalator selection behavior of passenger building and age,gender,occupation,carrying luggage volume and group as explicit variables,with the help of Mplus software and potential category theory,the passenger categories are analyzed,and the passengers are divided into four categories with significant differences in behavior,so as to complete the study of passenger heterogeneity.