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

随着北京轨道交通网络化的运营,交通出行总量保持增长态势,乘客通勤时间长、客流吸引力不足、客流负荷不均衡、网络功能不完善等问题仍然存在,在服务能力、服务效率、服务水平等方面还需进一步优化提升。从多源客流数据入手,通过手机信令、AFC刷卡等数据从不同层面研究轨道交通网络结构与客流需求的耦合性、网络化进程中客流特征及存在问题、车站层级客流特征。基于多源数据融合的轨道交通客流特征分析,从宏观层面提出轨道交通网络的织补及服务能力的提升、从中观层面提出轨道交通单条线的服务效率的提升、从微观层面提出北京轨道交通换乘车站服务水平的提升,并针对具体案例给出优化提升的策略及实施要点。

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.