Comprehensive resilience assessment of high-speed rail network in China

The frequent occurrence of extreme disasters, including natural hazards and human-induced accidents, significantly threatens the resilience of high-speed rail (HSR) network. To reduce the adverse effects of such events on HSR network (HSRN), we propose a multi-dimension and multi-phase comprehensive resilience assessment framework of HSRN. Firstly, we develop resilience metrics of HSRN from the topological and functional dimensions based on whole disaster phases (pre-disaster phase, mid-disaster phase, and post-disaster phase) of performance curve. Secondly, the rank sum ratio (RSR) model is applied to integrate multi-source HSR data with these resilience metrics for constructing a comprehensive resilience assessment model for HSRN. Additionally, we investigate the resilience manifestations of HSRN exposed to extreme disasters. Finally, the resilience of individual stations within China’s HSRN shows greater fluctuations in pre-disaster phase compared to other phases. Furthermore, the resilience of the HSRN differs greatly in differently spatial distribution. The eastern region of China has an overall excellent level of the HSRN resilience while the western region has relatively poor resilience. The proposed framework may be adaptable to different transportation networks, and the obtained findings are significant for the routine operations and policy-making in HSR.