Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality.
- Zhao H Chair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
- Thrash T Chair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
- Kapadia M Department of Computer Science, Rutgers University, Piscataway, NJ, USA.
- Wolff K Interactive Geometry Lab, ETH Zürich, Zurich, Switzerland.
- Hölscher C Chair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
- Helbing D Computational Social Science, ETH Zürich, Zurich, Switzerland.
- Schinazi VR Chair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
- 2020-06-11
Published in:
- Journal of the Royal Society, Interface. - 2020
English
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.
- Language
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- English
- Open access status
- hybrid
- Identifiers
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- DOI 10.1098/rsif.2020.0116
- PMID 32517631
- Persistent URL
- https://sonar.ch/global/documents/41813
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