Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality
| Autor: | Mubbasir Kapadia, Katja Wolff, Tyler Thrash, Victor R. Schinazi, Dirk Helbing, Christoph Hölscher, Hantao Zhao |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
Internet privacy Biomedical Engineering Biophysics Poison control Bioengineering 02 engineering and technology Pedestrian Virtual reality Biochemistry Biomaterials Disasters Crowds physiological arousal spatial cognition 0202 electrical engineering electronic engineering information engineering Parade Humans 0501 psychology and cognitive sciences Computer Simulation crowd disasters 050107 human factors Crowd simulation Crowd disasters Spatial cognition Physiological arousal Life Sciences–Engineering interface crowd simulation Event (computing) business.industry 05 social sciences Virtual Reality Love Crowding Social force model 020201 artificial intelligence & image processing business Biotechnology Research Article |
| Zdroj: | Journal of the Royal Society Interface Journal of the Royal Society. Interface, 17 (167) |
| ISSN: | 1742-5662 1742-5689 |
| Popis: | 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. Journal of the Royal Society. Interface, 17 (167) ISSN:1742-5689 ISSN:1742-5662 |
| Databáze: | OpenAIRE |
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