Modelling physical contacts to evaluate the individual risk in a dense crowd

Abstract Tumble and stampede in a dense crowd may be caused by irrational behaviours of individuals and always troubles the safety management of crowd activities. Risk evaluation based on pedestrian dynamical models can be regarded as an effective method of preventing crowd disasters. Here, a method...

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Main Authors: Chongyang Wang, Liangchang Shen, Wenguo Weng
Format: Article
Language:English
Published: Nature Portfolio 2023-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-31148-z
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author Chongyang Wang
Liangchang Shen
Wenguo Weng
author_facet Chongyang Wang
Liangchang Shen
Wenguo Weng
author_sort Chongyang Wang
collection DOAJ
description Abstract Tumble and stampede in a dense crowd may be caused by irrational behaviours of individuals and always troubles the safety management of crowd activities. Risk evaluation based on pedestrian dynamical models can be regarded as an effective method of preventing crowd disasters. Here, a method depending on a combination of collision impulses and pushing forces was used to model the physical contacts between individuals in a dense crowd, by which the acceleration error during physical contacts caused by a traditional dynamical equation can be avoided. The human domino effect in a dense crowd could be successfully reproduced, and the crushing and trampling risk of a microscopic individual in a crowd could be quantitatively evaluated separately. This method provides a more reliable and integral data foundation for evaluating individual risk that shows better portability and repeatability than macroscopic crowd risk evaluation methods and will also be conducive to preventing crowd disasters.
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spelling doaj.art-8b4bed15d5f645619287e93a4970abe22023-03-22T11:14:16ZengNature PortfolioScientific Reports2045-23222023-03-0113111010.1038/s41598-023-31148-zModelling physical contacts to evaluate the individual risk in a dense crowdChongyang Wang0Liangchang Shen1Wenguo Weng2Department of Engineering Physics, Institute of Public Safety Research, Tsinghua UniversityDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua UniversityDepartment of Engineering Physics, Institute of Public Safety Research, Tsinghua UniversityAbstract Tumble and stampede in a dense crowd may be caused by irrational behaviours of individuals and always troubles the safety management of crowd activities. Risk evaluation based on pedestrian dynamical models can be regarded as an effective method of preventing crowd disasters. Here, a method depending on a combination of collision impulses and pushing forces was used to model the physical contacts between individuals in a dense crowd, by which the acceleration error during physical contacts caused by a traditional dynamical equation can be avoided. The human domino effect in a dense crowd could be successfully reproduced, and the crushing and trampling risk of a microscopic individual in a crowd could be quantitatively evaluated separately. This method provides a more reliable and integral data foundation for evaluating individual risk that shows better portability and repeatability than macroscopic crowd risk evaluation methods and will also be conducive to preventing crowd disasters.https://doi.org/10.1038/s41598-023-31148-z
spellingShingle Chongyang Wang
Liangchang Shen
Wenguo Weng
Modelling physical contacts to evaluate the individual risk in a dense crowd
Scientific Reports
title Modelling physical contacts to evaluate the individual risk in a dense crowd
title_full Modelling physical contacts to evaluate the individual risk in a dense crowd
title_fullStr Modelling physical contacts to evaluate the individual risk in a dense crowd
title_full_unstemmed Modelling physical contacts to evaluate the individual risk in a dense crowd
title_short Modelling physical contacts to evaluate the individual risk in a dense crowd
title_sort modelling physical contacts to evaluate the individual risk in a dense crowd
url https://doi.org/10.1038/s41598-023-31148-z
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AT wenguoweng modellingphysicalcontactstoevaluatetheindividualriskinadensecrowd