Congestion Propagation of Double-layer Urban Rail Transit Considering Passengers' Bounded Rationality

Based on the multi-layer network perspective, a method for constructing the double-layer urban rail transit topology network was proposed. Then, the choice behavior of passengers at congested stations was analyzed, and the passenger flow loss rate was quantified. Moreover, a congestion propagation model for the double-layer urban rail transit network was proposed, and the congestion propagation process was analyzed using a real network as an illustration. The results indicate that once the congestion disturbance reaches an influence threshold, the congestion would propagate to other stations in the same or different layers, ultimately spreading widely in the network. The preferences and risk attitudes of passengers at congested stations affect the passenger flow loss rate. Furthermore, the spontaneous travel choice behavior of passengers at congested stations can regulate the congestion propagation process of urban rail transit networks. The stations with high topological importance are more capable of propagating congestion than stations with high functional importance, and the passenger flow distribution structure of the network is more fragile than the network topological structure. The increase in coupling coefficient leads to a rise in station-to-station interaction, making congestion more likely to propagate. The research results can provide a reference for urban rail transit passenger flow operation organization.