考虑公交换乘的地铁常态化限流站点识别方法研究OA北大核心

Existing research on the selection of metro stations for regularized passenger flow control fails to consider the limitations of line transport capacity and the issue of passenger flow loss,which leads to impractical applications.To balance the decision-making criteria of metro companies and stations and to reduce the number of regularized passenger flow control stations,this study proposed a method that takes into account bus transfers to disperse passenger flows.Firstly,a metro-bus coupled network topology model was constructed,and seven key indicators for measuring the importance of metro stations were designed from two perspectives:metro networked operation and reducing passenger flow loss through bus transfers.The linear time-invariant characteristics of the system were confirmed,and a station identification algorithm based on a sub-network generation strategy was developed.The indicators and algorithm were validated using passenger travel chain data from a working day in January 2018 in Beijing.The study analyzed the dynamic passenger flow distribution pattern every 10 min and compared it with the actual plan from 2018.The results indicate that the initial network controllability is 0.057 5,with an identification accuracy approaching 80%.The number of flow control stations with high accuracy and low misjudgment rates are 67,70,73,and 78,respectively.The regular passenger flow control stations are categorized into fixed and optional,and measures combining bus transfer guidance and phased flow control are suggested.This research provides a reference for decision-making regarding regularized passenger flow control plans during peak hours at metro stations in large cities.