ABSTRACT
Ensuring the necessary service functions of public transport under the influence of the epidemic and providing support for blocking the spread of epidemics is an important research issue in urban traffic emergency management. In this paper, based on the public transport network and epidemic information data, considering the two aspects of bus stops and epidemic sites, integrating the spatial analysis methods such as the topological model of public transport network, the centrality model of public transport network and nuclear density analysis, the authors have constructed the risk assessment method of public transport exposure, and done the case study of COVID-19 in Wuhan, China. The results show that the overall exposure risk of bus stops presents a "multi center circle" structure;high-risk and low-risk stops mainly rely on urban trunk roads and branches;high-risk and relatively high-risk stops are mostly traffic hubs and shopping malls, accounting for 35.63%, and medium and low-risk stops account for 64.37%, which are mainly distributed in the peripheral areas of urban core area;high-risk and low-risk sites are mainly distributed in the peripheral areas of urban core areas. Finally, according to the difference of public transport exposure risk level, the study puts forward to formulate classified public transport control measures to achieve differentiated precise prevention and control, so as to provide theoretical basis and decision-making reference for urban traffic management departments to carry out risk management and formulate management and control policy.