地铁换乘车站客流疏运模拟及风险分析(1)-T型车站

摘要

Metro system undertakes the transportation of massive passenger flow during operation, especially for transfer station, it will deal with the congregation and transferring of passenger flow from two and more lines, the passenger flow outburst may bring about operation safety accident.The paper focuses on macroscopical flow organization and microcosmic behavior dynamics of metro transportation, brings forward the essential factors and process of the risk analysis on the large passenger flow transportation of metro transfer station, and suggest the analysis approach and main index.Based on intelligent-agent and vector-space pedestrian dynamic technique, a modeling method for the metro passenger flow has been proposed.Then a case study has been performed for a T-type transfer station, the passenger flow movement and transportation is simulated, thereby the space use frequency, waiting passenger quantity, instantaneous density, transfer time and distance are investigated, and the high risk position is recognized.The conclusions and modeling method can be used as a reference for the establishment of passenger organization plan and the design of evacuation passage for similar metro stations.%地铁系统日常运行时承载着大规模客流,特别是地铁换乘车站,应对的是两条或者更多条线路客流的集聚和换乘,突发大客流容易造成运营安全事故.文章针对地铁客流疏运的宏观疏运组织和微观个体行为的耦合过程.分析提出了换乘车站大客流疏运风险分析的基本要素和步骤,并给出了疏运风险分析方法及需要关注的主要指标.基于智能个体和矢量空间模拟技术,建立了地铁大客流疏运模拟方法.结合某T型地铁换乘车站,对地铁换乘的客流运动过程进行了模拟仿真,分析了空间使用率、乘客滞留情况、空间人员瞬时密度、换乘时间和换乘距离等指标,辨识了客流高风险位置.文章提出的模拟方法和结论可为国内外类似车站制定客流组织方案及通道设计提供参考.