关键词: 突发公共卫生事件, 公交暴露风险, 新型冠状病毒肺炎(COVID-19), 公交网络结构拓扑模型, 公交网络中心性模型

Abstract: 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%.

Key words: public health emergencies, bus exposure risk, corona virus disease 2019(COVID-19), network structure of public traffic topology model, network of public traffic central model