Modeling Analysis and Management Control of Dense Pedestrian Flow in a Closed Area Under the Outbreak of Infectious Diseases: Taking University Canteen as an Example
JI Xina, XU Jiaminga, YANG Ailinga, YU Zilanb, TANG Tieqiaoa
a. School of Transportation Science and Engineering; b. SHENYUAN Honors College, Beihang University, Beijing 100191, China
Abstract：In order to reduce the transmission risk of closed systems in densely populated areas during outbreaks of infectious diseases, this study focuses on the first cafeteria of the Shahe Campus of Beihang University as the research scene, and proposes 12 evacuation strategies for school cafeterias where disease transmission occurs. By conducting cellular automaton simulations, the effectiveness of these control strategies is evaluated. The simulation results indicate that implementing measures such as disinfection of entrances and exits, and isolating patients before evacuation can reduce the overall infection risk by approximately 40%. These control measures not only address the issue of evacuating individuals suspected of having COVID-19 in places of congregation, but also have practical value in handling sudden situations in specific scenarios and guiding epidemic prevention efforts.
纪鑫, 徐嘉明, 杨瑷玲, 于子兰, 唐铁桥. 突发传染病情况下高校行人流建模分析与管理控制:以高校食堂为例[J]. 复杂系统与复杂性科学, 2024, 21(1): 35-42.
JI Xin, XU Jiaming, YANG Ailing, YU Zilan, TANG Tieqiao. Modeling Analysis and Management Control of Dense Pedestrian Flow in a Closed Area Under the Outbreak of Infectious Diseases: Taking University Canteen as an Example[J]. Complex Systems and Complexity Science, 2024, 21(1): 35-42.
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