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.
| Translated title of the contribution | 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 |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 35-42 |
| Number of pages | 8 |
| Journal | Complex Systems and Complexity Science |
| Volume | 21 |
| Issue number | 1 |
| DOIs | |
| State | Published - 15 Mar 2024 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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