2017
DOI: 10.1007/978-3-319-70647-4_11
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Simulating Crowd Evacuation with Socio-Cultural, Cognitive, and Emotional Elements

Abstract: In this research, the effects of culture, cognitions, and emotions on crisis management and prevention are analysed. An agent-based crowd evacuation simulation model was created, named IMPACT, to study the evacuation process from a transport hub. To extend previous research, various sociocultural, cognitive, and emotional factors were modelled, including: language, gender, familiarity with the environment, emotional contagion, prosocial behaviour, falls, group decision making, and compliance. The IMPACT model … Show more

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Cited by 26 publications
(39 citation statements)
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References 38 publications
(92 reference statements)
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“…These models can be generally classified into the cellular automaton model (CA), the lattice gas model (LG), the social force model (SF), and the agent-based model (AB). A number of commercial tools have also been developed to simulate the behaviour of evacuees, such as Pathfinder [6] and EXODUS [7]. These evacuation models and simulation tools are widely used in fire control training, evacuation drills and education, and to some extent, can explain and predict the behaviour of the evacuees, and the entire evacuation process.…”
Section: Evacuation Behavioursmentioning
confidence: 99%
“…These models can be generally classified into the cellular automaton model (CA), the lattice gas model (LG), the social force model (SF), and the agent-based model (AB). A number of commercial tools have also been developed to simulate the behaviour of evacuees, such as Pathfinder [6] and EXODUS [7]. These evacuation models and simulation tools are widely used in fire control training, evacuation drills and education, and to some extent, can explain and predict the behaviour of the evacuees, and the entire evacuation process.…”
Section: Evacuation Behavioursmentioning
confidence: 99%
“…For instance, we have secured co-funding to develop human-computer simulation models, with organizations who have been forward-thinking enough to recognize the future potential of simulation, despite there being low immediate return on investment (beyond the reputational benefit of being considered forward-thinking). In return, we have been at the forefront of developments in emerging research areas such as agent-based modelling and simulation (e.g., Crowder et al, 2012; Hughes et al, 2012), workspace design (Davis et al, 2011), crowd management (e.g., Challenger, Clegg, & Robinson, 2010;van der Wal, Formolo, Robinson, Minkov, & Bosse, 2017), and pro-environmental work behaviours (Davis, Unsworth, Russell, & Galvan, 2019;Young et al, 2015). We have also taken pride in observing our research deliver improvements in the lives of those working within collaborating organizations.…”
Section: Discussion and Recommendationsmentioning
confidence: 99%
“…We compare this work with other models and frameworks for social simulation. Network-oriented modeling has been applied for social system simulation to study the effects of various social parameters for the agent behavior on the outcome of the system [7][8][9]. Compared to the network model, AORTA is based on the BDI paradigm and logic.…”
Section: Related Workmentioning
confidence: 99%