基于数据分析的地铁客运组织等级划分研究

Research on Level Classification of Metro Passenger Transport Organization Based on Data Analysis

以天津地铁营口道站为例,通过调查相关客流数据,对车站相关设施的客流量进行了计算。通过对相邻设施进行能力匹配,找出了最易形成客流积压的区域,进而确定了营口道站车站内部各关键控制点;通过对各相关参数进行对比分析,将客运组织等级进行了划分,并提出了各等级启动条件和响应措施。

Taking Yingkoudao Station of Tianjin Metro as an example,the passenger flow of station facilities is calculated by investigating relevant passenger flow data.Through the capacity matching of adjacent facilities,the area which is most easily formed of passenger flow backlog is found,and then the key control points in Yingkoudao station are determined.Through the comparative analysis of relevant parameters,the passenger transport organization levels are divided,and the starting conditions and response measures of each level are proposed.