基于智能卡数据的地铁站点拥堵水平分级研究  

Research on Congestion Level Classification of Subway Stationsbased on Smart Card Data

作　　者：谭晓伟[1,2] Tan Xiao-wei(School of Automobile,Chang’an University,Xi’an 710064,Shaanxi,China;Key Laboratory of Automotive Transportation Safety Technology,Ministry of Transport,Chang’an University,Xi’an 710064,Shaanxi,China)

机构地区：[1]长安大学汽车学院,陕西西安710064 [2]长安大学汽车运输安全保障技术交通行业重点实验室,陕西西安710064

出　　处：《黑龙江交通科技》2020年第12期202-204,共3页Communications Science and Technology Heilongjiang

摘　　要：结合智能卡数据的特点,选择由日均客流量和单位闸机日均客流量组成的复合指标作为地铁站点拥堵水平划分依据,采用“等比分级法”将其划分为严重拥堵、中度拥堵、轻度拥堵、基本畅通四个级别。对南京地铁128个站点拥堵级别进行了核定,分析了不同拥堵级别地铁站点的时空特征,并探讨了降低拥堵水平的对策。Combined with the characteristics of smart card data,a composite index composed of daily average passenger flow and daily average passenger flow per unit gate is used to divide the congestion level of metro station,which is divided into four levels,namely serious congestion,medium congestion,light congestion and basically unimpeded by“equal ratio classification method”.The congestion levels of 128 stations in Nanjing Metro are verified,the temporal and spatial characteristics of different congestion levels of stations are analyzed,and the countermeasures to reduce the congestion are discussed.

关 键 词：轨道交通 智能卡数据 拥堵水平 日均客流量 等比分级法 时空特征 

分 类 号：U492[交通运输工程—交通运输规划与管理]