Resilience analysis of multi-modal public transport networks under rainstorm waterlogging disasters: A case study in Chengdu, China
提出一个考虑暴雨内涝动态传播的多模式公共交通网络韧性分析模型，并以成都公交-轨道网络为例验证，发现总降雨量及其时间分布影响韧性，道路排水能力是关键因素。
• A resilience analysis model is proposed for MPT networks under waterlogging. • Waterlogging negative impact and its dynamic propagation process are considered. • The resilience of the bus-rail MPT network in Chengdu is analyzed. Rainstorm waterlogging disasters (RWDs) can severely disrupt the operation of multimodal public transport networks, highlighting the practical significance of assessing their resilience under RWDs. This study develops a resilience analysis model that incorporates the dynamic propagation (DP) of RWD-induced disruptions within a multi-modal public transport (MPT) network. The formulated model is validated through comprehensive numerical experiments on Chengdu’s MPT network consisting of bus and rail services. Results show that the resilience metric is relevant to the total rainfall and its temporal distribution. Meanwhile, the negative effects arising from the DP process must be considered in the network resilience analysis. Sensitivity analysis indicates that urban road drainage capacity is the dominant factor influencing the network resilience. Finally, several practical implications are proposed to enhance the MPT network resilience under RWDs.