JAUE2022-024: Research on Cascading Failure of Urban Rail Transit Network Under Flood Disaster

Abstract

By utilising the multi-source data features including geographic attributes, passenger flow, and complex networks of Urban Rail Transit Stations (URTS), this paper aims to analyze the process of cascading failure of URT Network caused by flood and provide technical support for URT departments to respond to sudden floods. Firstly, a resilience evaluation system for URTS and line networks is constructed to reflect the evolution characteristics of flood disasters, including the geographical attribute indicators of stations, the static characteristic indicators of the network, and the dynamic indicators of passenger flow. Next, aiming at the network topology, the coupled image lattice model is used to analyze the cascading failure process of URT Network in the case of global coupling. Key findings are (1) degree centrality is not a determinant factor for cascading failure. There are sensitive sites with low degree centrality but cause rapid network failure; (2) the network resilience is enhanced after adding the actual passenger flow data coefficient; and (3) After adding the site geographic risk factor, the overall network damage speed is slowed down and the strength is weakened. But there are core sites that can affect the entire network. Therefore, the fortification level needs to be increased for these core sites. This study provides a reference for site-level disaster prevention to improve the resilience of URT networks.