Study on Spatio-Temporal Behavior Planning Strategies for Alleviating Morning Peak Congestion in Shanghai's Urban Rail Transit:A Case Study of Metro Line 9
In response to the severe congestion problem during peak passenger flow in Shanghai's urban rail transit,this paper conducts a study on decongestion strategies under the framework of spatio-temporal behavior planning.Taking Metro Line 9 as an example,we use smart card data to simulate passengers'spatio-temporal travel trajectories,identify the congestion situation in urban rail transit,divide the types of congestion,and trace the sources and destinations of congested passenger flow from the perspective of the spatio-temporal process of congestion formation.At the same time,we deeply mine the travel characteristics of passengers,such as travel purposes,travel patterns,and travel constraints.On this basis,we propose temporal,spatial,and behavior strategies such as information recommendation,reservation for entry,adjustment of work time,and job relocation for different travel characteristic groups,and quantitatively evaluate the congestion mitigation potential of strategy implementation,providing perspectives,methods,and strategies for reference of managing urban rail transit congestion.
spatio-temporal behavior planningspatio-temporal process perspectiveurban rail transit congestiondecongestion strategyMetro Line 9