Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment
| dc.contributor.author | Harweg, Thomas | |
| dc.contributor.author | Bachmann, Daniel | |
| dc.contributor.author | Weichert, Frank | |
| dc.date.accessioned | 2023-02-13T14:46:34Z | |
| dc.date.available | 2023-02-13T14:46:34Z | |
| dc.date.issued | 2021-04-01 | |
| dc.description.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. | en |
| dc.identifier.uri | http://hdl.handle.net/2003/41231 | |
| dc.identifier.uri | http://dx.doi.org/10.17877/DE290R-23075 | |
| dc.language.iso | en | de |
| dc.relation.ispartofseries | Journal of public health;Vol. 31. 2022, Issue 2, pp 221-228 | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | SARS-CoV-2 | en |
| dc.subject | COVID-19 | en |
| dc.subject | Pedestrian dynamics | en |
| dc.subject | Agent-based simulation | en |
| dc.subject | Social-force model | en |
| dc.subject | Numerical simulation | en |
| dc.subject.ddc | 004 | |
| dc.title | Agent-based simulation of pedestrian dynamics for exposure time estimation in epidemic risk assessment | en |
| dc.type | Text | de |
| dc.type.publicationtype | article | de |
| dcterms.accessRights | open access | |
| eldorado.secondarypublication | true | de |
| eldorado.secondarypublication.primarycitation | Journal of public health. Vol. 31, 2023, Issue 2, pp 221–228 | en |
| eldorado.secondarypublication.primaryidentifier | https://doi.org/10.1007/s10389-021-01489-y | de |