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A Computational Study of the Station Nightclub Fire Accounting for Social Relationships

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Abstract

Using agent-based modeling, this study presents the results of a computational study of social relationships among more than four hundreds evacuees in The Station Nightclub building in Rhode Island. The fire occurred on the night of February 20, 2003 and resulted in 100 fatalities. After summarizing and calibrating the computational method used, parametric studies are conducted to quantitatively investigate the influences of the presence of social relationships and familiarity of the building floor plan on the death and injury tolls. It is demonstrated that the proposed model has the ability to reasonably handle the complex social relationships and group behaviors present during egress. The simulations quantify how intimate social affiliations delay the overall egress process and show the extent by which lack of knowledge of a building floor plan limits exit choices and adversely affects the number of safe evacuations.

Suggested Citation

  • Sherif El-Tawil & Jieshi Fang & Benigno Aguirre & Eric Best, 2017. "A Computational Study of the Station Nightclub Fire Accounting for Social Relationships," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(4), pages 1-10.
    • Handle: RePEc:jas:jasssj:2017-65-2
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    File URL: https://www.jasss.org/20/4/10/10.pdf
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    Cited by:

    1. Eileen Young & Benigno Aguirre, 2021. "PrioritEvac: an Agent-Based Model (ABM) for Examining Social Factors of Building Fire Evacuation," Information Systems Frontiers, Springer, vol. 23(5), pages 1083-1096, September.

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