铁道运输与经济2024，Vol.46Issue(2)：176-183,204,9.DOI:10.16668/j.cnki.issn.1003-1421.2024.02.22
基于多源数据融合的北京轨道交通既有线客流特征与优化提升对策研究
Research on Passenger Flow Characteristics and Optimization and Promotion Countermeasures of Beijing Rail Transit Lines Based on Multi-source Data Fusion
陈炎 1赵华伟 1杨军 1贺鹏 2叶轩 2王少楠 2王俊 3张源3
作者信息
- 1. 北京市地铁运营有限公司 技术创新研究院分公司,北京 100044||地铁运营安全保障技术北京市重点实验室,北京 100044
- 2. 北京城建设计发展集团股份有限公司 轨道交通院,北京 100037
- 3. 北京城建交通设计研究院有限公司 交通模型与大数据研究中心,北京 100037
- 折叠
摘要
Abstract
With the networked operation of Beijing rail transit,the total transportation volume has maintained a growth trend.However,issues such as long commuting time,insufficient passenger flow attraction,and uneven passenger load distribution,and incomplete network functionality persist.Further optimization and improvement are required in terms of service capacity,service efficiency,and service quality.This paper started from multi-source passenger flow data and conducted an analysis of the coupling between rail transit network structure and passenger flow demands,passenger flow characteristics and existing problems in the network process,and station-level passenger flow characteristics using data sources such as mobile phone signaling and AFC card swipes.Based on the analysis of rail transit passenger flow characteristics using multi-source data fusion,this paper proposes actions at different levels.At a macro level,it advocates for strengthening the rail transit network and enhancing service capacity.At an intermediate level,it suggests improving the service efficiency of individual rail transit line.At a micro level,it recommends raising the service quality at transfer stations within the Beijing rail transit system.Additionally,the study provides optimization and improvement strategies,along with implementation guidelines for specific cases.关键词
多源数据/既有线/客流特征/优化提升/实施策略Key words
Multi-source Data/Existing Lines/Passenger Flow Characteristics/Optimization and Promotion/Implementation Strategies引用本文复制引用
陈炎,赵华伟,杨军,贺鹏,叶轩,王少楠,王俊,张源..基于多源数据融合的北京轨道交通既有线客流特征与优化提升对策研究[J].铁道运输与经济,2024,46(2):176-183,204,9.
