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The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Simulating dynamical features of escape panic

Open access
Helbing, Dirk, Farkas, Illés, Vicsek, Tamás·2000·Nature

Abstract

One of the most disastrous forms of collective human behaviour is the kind of crowd stampede induced by panic, often leading to fatalities as people are crushed or trampled. Sometimes this behaviour is triggered in life-threatening situations such as fires in crowded buildings; at other times, stampedes can arise during the rush for seats or seemingly without cause. Although engineers are finding ways to alleviate the scale of such disasters, their frequency seems to be increasing with the number and size of mass events. But systematic studies of panic behaviour and quantitative theories capable of predicting such crowd dynamics are rare. Here we use a model of pedestrian behaviour to investigate the mechanisms of (and preconditions for) panic and jamming by uncoordinated motion in crowds. Our simulations suggest practical ways to prevent dangerous crowd pressures. Moreover, we find an optimal strategy for escape from a smoke-filled room, involving a mixture of individualistic behaviour and collective ‘herding’ instinct.

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Metadata

Authors
Helbing, D., Farkas, I., & Vicsek, T.
Venue
Nature
Published
2000-09
Volume
407
Issue
6803
Pages
487-490
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W1888172398
Cited by
4,916
References
14
FWCI
103.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Simulating dynamical features of escape panic. https://app.cochat.ai/papers/10.1038/35035023
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Helbing, D., Farkas, I., & Vicsek, T. (2000). Simulating dynamical features of escape panic. Nature. https://doi.org/10.1038/35035023

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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