%0 Journal Article %A JI Xiaofeng %A WU Yaxin %A MAO Runcai %A ZHANG Qi %T Identification method of bus exposure risk under public health emergencies: taking Shenzhen's fight against COVID-19 as an example %D 2021 %R 10.16265/j.cnki.issn 1003-3033.2021.02.013 %J China Safety Science Journal %P 89-98 %V 31 %N 2 %X In order to quantitatively assess bus exposure risk under public health emergencies, based on multi-source data of public traffic network, traffic analysis zones and COVID-19 epidemic information, three research scales of bus station, traffic analysis zones and epidemic sites were considered, and a multi-scale identification method of bus exposure risk was proposed by integrating network structure of public traffic topology model, network of public traffic central model and kernel density analysis. Then, verification analysis was conducted with Shenzhen as an example. The results show that spatial distribution pattern of bus station exposure risk presents a "multi-center-circle" structure, with high-exposure risk stations mostly being transportation hub, shopping mall and so on, accounting for 26.40%. Traffic analysis zones with high-exposure risk are mainly distributed in industrial, commercial and residential clusters, which makes up for 32.84%. Epidemic sites with high-exposure risk are mainly concentrated in urban core areas, accounting for 28.92%. %U http://www.cssjj.com.cn/EN/10.16265/j.cnki.issn 1003-3033.2021.02.013