Abstract
Rainstorm and the induced flood disaster often cause serious damage to transportation system, resulting in the loss of life and property. To improve the resilience of transportation system, this study proposes a framework for assessing the impacts of rainstorm and flood disaster on road network based on GPS data. The change ratio of traffic flow and congestion index are used to evaluate the disrupted and detour road sections caused by rainstorm. A method based on the change of traffic flow compared to the normal circumstances is proposed to identify the flood‐damaged road sections. A case study in Beijing verifies the feasibility and practicality of the proposed framework, which can effectively assess the impacts of rainstorm from multiple spatial and temporal dimensions, identify the flood‐damaged road sections, and supplement existing research. Research findings can provide scientific basis for the emergency management departments to accurately identify the roads affected by rainstorm and improve the resilience of transportation system.
Funder
National Natural Science Foundation of China