LAUSR

Waterlogging disasters cause significant threats to road transportation system. Scholars are currently focusing on the manner in which disaster resilience of road transportation system can be measured to improve the disaster control capability of an entire road transportation system. However, existing studies lack of quantitative analysis on the waterlogging resilience of road transportation system. This study analyzed the validity of network system structure by combining percolation theory on the basis of the validity view of system functions proposed by Pimm to construct a waterlogging resilience measurement model of road transportation systems and recognize the weak region of waterlogging resilience during a quantitative study. A resilience measurement model of an urban road transportation system in the context of waterlogging disasters was constructed. On this basis, the lost key connections, which were used as the weak region of waterlogging resilience in road transportation system, were recognized. Results demonstrated that the constructed waterlogging resilience measurement model could quantify the waterlogging resilience of the road transportation system throughout the process and highlight the dynamic features of waterlogging disasters. In the weak resilience region recognized in the quantitative study based on percolation theory, the percolation phenomenon of system network may disappear once the key connections are broken. Conclusions offset the shortcomings of previous resilience quantitative studies in the lack of waterlogging disaster analysis. The study results of waterlogging resilience of road transport system are applied directly to optimal decision making on resilience by combining the topology of system network and the post-disaster behavioral characteristics of users. This study provides a new method and decision-making idea to evaluate the disaster resilience of road transportation system.