Computer simulation approach to interdisciplinary research of crowds behavior in regular and emergency situations. / Glebovsky, Alexander Yu; Ivanov, Vladimir M.; Arsenjev, Dmitry G.
In: International Journal of Innovative Technology and Exploring Engineering, Vol. 8, No. 5, 2019, p. 1251-1252.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Computer simulation approach to interdisciplinary research of crowds behavior in regular and emergency situations
AU - Glebovsky, Alexander Yu
AU - Ivanov, Vladimir M.
AU - Arsenjev, Dmitry G.
N1 - Publisher Copyright: © BEIESP. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - Behavior of massive assemblies of people - large crowds or dense (intensive) pedestrian flows occurring in confined spaces (public buildings, shopping malls, airport terminals, public transport stations, concert halls), or in the open grounds (squares, streets, sports arenas) - attracts growing attention as a specific pressing sphere of urgent diverse multidisciplinary scientific research. This is mainly due to the critically increasing number of extraordinary incidents such as natural calamities (devastating earthquake, hurricane), technogenic accidents (explosion, fire, sudden destruction, etc.) or anthropogenic hazards (acts of terrorism) - those that over past decades have inflicted large-scale casualties and loss of life among urban population around the world. Extensive consideration has been paid to design and introduction of preventive measures against such disasters. Practitioners of urban planning, architects, civil engineers, emergency responders, etc., are professionally in need of methods and tools to evaluate the degree of a facility safety, to foresee the possible consequences of public gathering places construction, to be able to predict the potential dangers, to estimate probabilities of pedestrian traffic congestions. Investigations in this vast sphere embrace many domains, among other including human physiology, psychology, sociology, anthropometry, empirical studies on human behavior, analytical methods of events prediction, and computer simulation methods and techniques. [6] - [10].
AB - Behavior of massive assemblies of people - large crowds or dense (intensive) pedestrian flows occurring in confined spaces (public buildings, shopping malls, airport terminals, public transport stations, concert halls), or in the open grounds (squares, streets, sports arenas) - attracts growing attention as a specific pressing sphere of urgent diverse multidisciplinary scientific research. This is mainly due to the critically increasing number of extraordinary incidents such as natural calamities (devastating earthquake, hurricane), technogenic accidents (explosion, fire, sudden destruction, etc.) or anthropogenic hazards (acts of terrorism) - those that over past decades have inflicted large-scale casualties and loss of life among urban population around the world. Extensive consideration has been paid to design and introduction of preventive measures against such disasters. Practitioners of urban planning, architects, civil engineers, emergency responders, etc., are professionally in need of methods and tools to evaluate the degree of a facility safety, to foresee the possible consequences of public gathering places construction, to be able to predict the potential dangers, to estimate probabilities of pedestrian traffic congestions. Investigations in this vast sphere embrace many domains, among other including human physiology, psychology, sociology, anthropometry, empirical studies on human behavior, analytical methods of events prediction, and computer simulation methods and techniques. [6] - [10].
KW - Anthropogenic hazards
KW - Anthropometry
KW - Crowds behavious
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85067973553&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85067973553
VL - 8
SP - 1251
EP - 1252
JO - International Journal of Innovative Technology and Exploring Engineering
JF - International Journal of Innovative Technology and Exploring Engineering
SN - 2278-3075
IS - 5
ER -
ID: 77974060