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Volume 4, Number 2, April 2019 (Special Issue) , pages 091-118 DOI: https://doi.org/10.12989/acd.2019.4.2.091 |
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Modeling and simulation of large crowd evacuation in hazard-impacted environments |
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Songjukta Datta and Amir H. Behzadan
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| Abstract | ||
| Every year, many people are severely injured or lose their lives in accidents such as fire, chemical spill, public pandemonium, school shooting, and workplace violence. Research indicates that the fate of people in an emergency situation involving one or more hazards depends not only on the design of the space (e.g., residential building, industrial facility, shopping mall, sports stadium, school, concert hall) in which the incident occurs, but also on a host of other factors including but not limited to (a) occupants\' characteristics, (b) level of familiarity with and cognition of the surroundings, and (c) effectiveness of hazard intervention systems. In this paper, we present EVAQ, a simulation framework for modeling large crowd evacuation by taking into account occupants\' behaviors and interactions during an emergency. In particular, human\'s personal (i.e., age, gender, disability) and interpersonal (i.e., group behavior and interactions) attributes are parameterized in a hazard-impacted environment. In addition, different hazard types (e.g., fire, lone wolf attacker) and propagation patterns, as well as intervention schemes (simulating building repellent systems, firefighters, law enforcement) are modeled. Next, the application of EVAQ to crowd egress planning in an airport terminal under human attack, and a shopping mall in fire emergency are presented and results are discussed. Finally, a validation test is performed using real world data from a past building fire incident to assess the reliability and integrity of EVAQ in comparison with existing evacuation modeling tools. | ||
| Key Words | ||
| emergency mapping; crowd simulation; human behavior; architecture for safety; cellular-automata | ||
| Address | ||
| Department of Construction Science, Texas A&M University, 3137 TAMU, College Station, TX 77843, USA | ||
