Resilience of road transportation network in metropolitan areas

Global climate change has rendered transportation systems vulnerable to extreme weather conditions. A thorough assessment of network resilience is crucial to maintain the smooth operation of the road network. This study develops a three-dimensional resilience evaluation model that accounts for the impact of capacity degradation and sheds light on the resilience of road networks. We investigate the degradation mechanism of road network performance in a rainfall environment. Specific rainstorm weather scenarios were generated using the Monte Carlo simulation method. The road traffic network in the Chengdu metropolitan area was selected for validation and analysis. When meteorological conditions exceed the secondary intensity, the road network becomes more vulnerable to increased traffic flow. Betweenness and degree centrality are indicators of regional importance. Different recovery strategy priorities must be developed for different interference scenarios.