Propagation characteristics of the pedestrian shockwave in dense Crowd: Experiment and simulation
Crowd shockwave is a very common phenomenon in dense crowds, which is likely to cause crowd destabilization and stampede accidents. Several researches on crowd shockwave have been reported, but its explicit concept and particular mechanism need to be further investigated. In the paper, the main causes and the definition of crowd shockwave were proposed based on experimental observation and existing accident information. Combined with the experiment scenario, a crowd shockwave simulation model was established based on the social force theory. In order to understand the transmission mechanism of crowd shockwave, the amplitude that is indicated by the maximum density, the propagation speed and the duration of the crowd shockwave were acquired and analyzed based on the density waves from the simulation. Meanwhile, the simulation results were verified by the experiment. The outcomes can offer a few relevant control strategies to eliminate or reduce the crowd shockwave, thereby prevent trampling accidents.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22124209
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Supplemental Notes:
- © 2019 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Wang, Jinghong
- Chen, Manman
- Jin, Bowei
- Li, Jia
- Wang, Zhirong
- Publication Date: 2019-11
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
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Serial:
- International Journal of Disaster Risk Reduction
- Volume: 40
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2212-4209
- Serial URL: http://www.sciencedirect.com/science/journal/22124209
Subject/Index Terms
- TRT Terms: Crowds; Pedestrians; Psychological aspects; Safety; Shock waves; Simulation
- Uncontrolled Terms: Social force models; Trampling
- Subject Areas: Pedestrians and Bicyclists; Safety and Human Factors;
Filing Info
- Accession Number: 01717623
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 19 2019 3:07PM