摘要
[目的]上海轨道交通的通勤客流量巨大,需针对使用城市轨道交通进行通勤的通勤者,分析其空间分布及接驳等客流特征。[方法]基于百度位置大数据及上海轨道交通客流数据,对上海轨道通勤从总量、空间分布、线路及站点进出情况、居住地和工作地两端接驳特征等方面进行了分析,并提出对策建议。[结果及结论]所提对策建议为:增加轨道切向线、优化站点周边用地布局、提升轨道网络通道上的职住平衡等。
[Objective]Shanghai's rail transit boasts of huge commuter flow,and it is necessary to analyze the spatial distribution,connection and other characteristics of the passengers using urban rail transit for commuting.[Method]Based on the Baidu location big data and the passenger flow data from the automatic fare collection system of Shanghai rail transit,the commuters of Shanghai rail transit are statistically analyzed from the perspectives of total commuting volume,spatial distribution,commuting route,in-and-out station,and traffic connection characteristics between residence and workplace,and relevant suggestions are put forward.[Result&Conclusion]It is suggested that the tangential line shall be increased in urban rail transit,the land use layout around station be optimized,and the work place and residence along the urban rail transit network corridor keep a better balance.
作者
王波
张天然
訾海波
金昱
阚长城
温作超
WANG Bo;ZHANG Tianran;ZI Haibo;JIN Yu;KAN Changcheng;WEN Zuochao(Shanghai Urban Planning&Design Research Institute,200040,Shanghai,China;The Key Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji University,201804,Shanghai,China;Baidu Times Technology(Beijing)Co.,Ltd,100085,Beijing,China)
出处
《城市轨道交通研究》
北大核心
2024年第6期23-32,共10页
Urban Mass Transit
基金
上海市城市规划设计研究院重点项目(2020160-0)
国家自然科学基金面上项目(52078347)。
关键词
城市轨道交通
通勤客流
客流特征
职住大数据
urban rail transit
commuter flow
passenger flow characteristics
big data of work place and residence