Assessing Resilience of Urban Transportation Systems Under Serious Epidemic Situation

ABSTRACT

Aiming at the role of urban transportation systems in the prevention and control of the new crown pneumonia epidemic and emergency support. Based on epidemic prevention and control, this paper introduced the concept of resilience. The change process of system performance was divided into the prevention stage, maintenance stage, and recovery stage. Analyzed the factors affecting urban transportation systems resilience at various stages and the causal relationship between the factors. Assessment indicators of the transportation system resilience was established. Bayesian network (BN) was used to build resilience assessment model of urban transportation systems. And BN was used to evaluate and reason the model. Taking Xi'an as an example, the paper assessed the resilience of Xi'an transportation system. GeNIe was used for causal inference and sensitivity analysis of the network. Identify factors with high sensitivity and propose improvement measures. The results show that the model can quantify the resilience of urban transportation systems during the COVID-19 Pandemic, evaluate the current situation of the systems, and analyze the effects of factors on the resilience, to provide decision support for improving the resilience of urban transportation systems and dealing with epidemic risk. © 2021 SPIE