Authors: | Harweg, Thomas Bachmann, Daniel Weichert, Frank |
Title: | Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment |
Language (ISO): | en |
Abstract: | Purpose With the coronavirus disease 2019 (COVID-19) pandemic spreading across the world, protective measures for containing the virus are essential, especially as long as no vaccine or effective treatment is available. One important measure is the so-called physical distancing or social distancing. Methods In this paper, we propose an agent-based numerical simulation of pedestrian dynamics in order to assess the behavior of pedestrians in public places in the context of contact transmission of infectious diseases like COVID-19, and to gather insights about exposure times and the overall effectiveness of distancing measures. Results To abide by the minimum distance of 1.5 m stipulated by the German government at an infection rate of 2%, our simulation results suggest that a density of one person per 16m2 or below is sufficient. Conclusions The results of this study give insight into how physical distancing as a protective measure can be carried out more efficiently to help reduce the spread of COVID-19. |
Subject Headings: | SARS-CoV-2 COVID-19 Pedestrian dynamics Agent-based simulation Social-force model Numerical simulation |
URI: | http://hdl.handle.net/2003/41231 http://dx.doi.org/10.17877/DE290R-23075 |
Issue Date: | 2021-04-01 |
Rights link: | https://creativecommons.org/licenses/by/4.0/ |
Appears in Collections: | LS 07 Graphische Systeme |
Files in This Item:
File | Description | Size | Format | |
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s10389-021-01489-y.pdf | 926.92 kB | Adobe PDF | View/Open |
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