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Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality
Dense crowds in public spaces have often caused serious security issues at large events. In this paper, we study the 2010 Love Parade disaster, for which a large amount of data (e.g. research papers, professional reports and video footage) exist. We reproduce the Love Parade disaster in a three-dime...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328386/ https://www.ncbi.nlm.nih.gov/pubmed/32517631 http://dx.doi.org/10.1098/rsif.2020.0116 |
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author | Zhao, Hantao Thrash, Tyler Kapadia, Mubbasir Wolff, Katja Hölscher, Christoph Helbing, Dirk Schinazi, Victor R. |
author_facet | Zhao, Hantao Thrash, Tyler Kapadia, Mubbasir Wolff, Katja Hölscher, Christoph Helbing, Dirk Schinazi, Victor R. |
author_sort | Zhao, Hantao |
collection | PubMed |
description | Dense crowds in public spaces have often caused serious security issues at large events. In this paper, we study the 2010 Love Parade disaster, for which a large amount of data (e.g. research papers, professional reports and video footage) exist. We reproduce the Love Parade disaster in a three-dimensional computer simulation calibrated with data from the actual event and using the social force model for pedestrian behaviour. Moreover, we simulate several crowd management strategies and investigate their ability to prevent the disaster. We evaluate these strategies in virtual reality (VR) by measuring the response and arousal of participants while experiencing the simulated event from a festival attendee’s perspective. Overall, we find that opening an additional exit and removing the police cordons could have significantly reduced the number of casualties. We also find that this strategy affects the physiological responses of the participants in VR. |
format | Online Article Text |
id | pubmed-7328386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73283862020-07-02 Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality Zhao, Hantao Thrash, Tyler Kapadia, Mubbasir Wolff, Katja Hölscher, Christoph Helbing, Dirk Schinazi, Victor R. J R Soc Interface Life Sciences–Engineering interface Dense crowds in public spaces have often caused serious security issues at large events. In this paper, we study the 2010 Love Parade disaster, for which a large amount of data (e.g. research papers, professional reports and video footage) exist. We reproduce the Love Parade disaster in a three-dimensional computer simulation calibrated with data from the actual event and using the social force model for pedestrian behaviour. Moreover, we simulate several crowd management strategies and investigate their ability to prevent the disaster. We evaluate these strategies in virtual reality (VR) by measuring the response and arousal of participants while experiencing the simulated event from a festival attendee’s perspective. Overall, we find that opening an additional exit and removing the police cordons could have significantly reduced the number of casualties. We also find that this strategy affects the physiological responses of the participants in VR. The Royal Society 2020-06 2020-06-10 /pmc/articles/PMC7328386/ /pubmed/32517631 http://dx.doi.org/10.1098/rsif.2020.0116 Text en © 2020 The Authors. http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Engineering interface Zhao, Hantao Thrash, Tyler Kapadia, Mubbasir Wolff, Katja Hölscher, Christoph Helbing, Dirk Schinazi, Victor R. Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality |
title | Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality |
title_full | Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality |
title_fullStr | Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality |
title_full_unstemmed | Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality |
title_short | Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality |
title_sort | assessing crowd management strategies for the 2010 love parade disaster using computer simulations and virtual reality |
topic | Life Sciences–Engineering interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7328386/ https://www.ncbi.nlm.nih.gov/pubmed/32517631 http://dx.doi.org/10.1098/rsif.2020.0116 |
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