摘要
利用智能卡数据对地铁乘客总体与不同票卡类型乘客、工作日与周末、刷卡进站与出站等出行时间特征进行了系统分析,并总结其出行规律定量描述了出行高峰期,并分析了不同票卡类型乘客出行高峰期的特点,旨在为城市轨道交通的运营及管理提供辅助决策支持。
Based on smart card data,this paper systematically analyses the travel time characteristics of metro passengers in general and different types of ticket cards,weekdays and weekends,check in and check out,and summarizes their travel rules.Then,the travel peak period is quantitatively described,and its characteristics of passengers with different types of ticket cards are analyzed,so as to provide certain decision support for the operation and management of urban rail transit.
作者
谭晓伟
TAN Xiaowei(School of Automobile,Chang'an University,Xi'an 710064,China;Key Laboratory of Automotive Transportation Safety Technology,Ministry of Transport,Chang'an University,Xi'an 710064,China)
出处
《综合运输》
2020年第3期16-21,共6页
China Transportation Review
关键词
地铁
智能卡数据
出行时间特征
出行高峰期
工作日
Metro
Smart card data
Travel temporal characteristics
Travel peak period
Weekday
