Resilience measurement and analysis of intercity public transportation network

The resilience measurement of intercity public transportation networks is of great significance for the region's safety and sustainability. This study discusses the topological and functional resilience of sub-networks and multi-modal network under different disruptions. Specifically, functional resilience is measured by comprehensively considering the service features of transportation modes. Additionally, the recovery priority of failed nodes to maximize network resilience is also discussed. The intercity coach/train timetable data and intercity travel data from the Guanzhong Plain urban agglomeration in China were applied to demonstrate the application of the methods. The results show that multi-modal network is more resilient to disruptions than sub-networks. According to the comparison, network functional resilience is more easily compromised and has less effectiveness on recovery than topological resilience. The findings could help stakeholders better understand transportation resilience and provide a valuable reference for formulating pre- or post-disaster resilience development strategies.