Animal Dynamics Based Approach for Modeling Pedestrian Crowd Egress under Panic Conditions
Collective movement is important during emergencies such as natural disasters or terrorist attacks, when rapid egress is essential for escape. The development of quantitative theories and models to explain and predict the collective dynamics of pedestrians has been hindered by the lack of complementary data under emergency conditions. Collective patterns are not restricted to humans, but have been observed in other non-human biological systems. In this study, a mathematical model for crowd panic is derived from collective animal dynamics. The development and validation of the model is supported by data from experiments with panicking Argentine ants (Linepithema humile). A first attempt is also made to scale the model parameters for collective pedestrian traffic from those for ant traffic, by employing a scaling concept approach commonly used in biology.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/18770428
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier.
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Authors:
- Shiwakoti, Nirajan
- Sarvi, Majid
- Rose, Geoff
- Burd, Martin
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Conference:
- 19th International Symposium on Transportation and Traffic Theory
- Location: Berkeley CA, United States
- Date: 2011-7-18 to 2011-7-20
- Publication Date: 2011
Language
- English
Media Info
- Media Type: Web
- Features: Figures; Photos; References; Tables;
- Pagination: pp 438-461
- Monograph Title: International Symposium on Transportation and Traffic Theory, 19th
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Serial:
- Procedia - Social and Behavioral Sciences
- Volume: 17
- Publisher: Elsevier
- ISSN: 1877-0428
- Serial URL: http://www.sciencedirect.com/science/journal/18770428/53
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Animal behavior; Crowds; Disaster preparedness; Disasters and emergency operations; Emergency management; Evacuation; Hazards and emergency operations; Mathematical models; Pedestrian density; Pedestrian flow
- Uncontrolled Terms: Ants
- Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; Security and Emergencies; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01345411
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Jul 21 2011 10:08AM