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OA

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.