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Agent-Based Emergency Evacuation Simulation with Individuals with Disabilities in the Population

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  • Keith Christensen
  • Yuya Sasaki

Abstract

Catastrophic events have raised numerous issues concerning how effectively the built environment accommodates the evacuation needs of individuals with disabilities. Individuals with disabilities represent a significant, yet often overlooked, portion of the population disproportionately affected in emergency situations. Incorporating disability considerations into emergency evacuation planning, preparation, and other activities is critical. The most widely applied method used to evaluate how effectively the built environment accommodates emergency evacuations is agent-based or microsimulation modeling. However, current evacuation models do not adequately address individuals with disabilities in their simulated populations. This manuscript describes the BUMMPEE model, an agent-based simulation capable of classifying the built environment according to environmental characteristics and simulating a heterogeneous population according to variation in individual criteria. The method allows for simulated behaviors which more aptly represent the diversity and prevalence of disabilities in the population and their interaction with the built environment. Comparison of the results of an evacuation simulated using the BUMMPEE model is comparable to a physical evacuation with a similar population and setting. The results of the comparison indicate that the BUMMPEE model is a reasonable approach for simulating evacuations representing the diversity and prevalence of disability in the population

Suggested Citation

  • Keith Christensen & Yuya Sasaki, 2008. "Agent-Based Emergency Evacuation Simulation with Individuals with Disabilities in the Population," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-9.
  • Handle: RePEc:jas:jasssj:2007-8-3
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    References listed on IDEAS

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    1. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
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    1. Karolina Żydek & Małgorzata Król & Aleksander Król, 2021. "Evacuation Simulation Focusing on Modeling of Disabled People Movement," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    2. Yu Zhang & Jason Leezer, 2010. "Simulating human-like decisions in a memory-based agent model," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 373-399, December.
    3. Stuart, Daniel S. & Sharifi, Mohammad Sadra & Christensen, Keith M. & Chen, Anthony & Kim, Yong Seog & Chen, YangQuan, 2019. "Crowds involving individuals with disabilities: Modeling heterogeneity using Fractional Order Potential Fields and the Social Force Model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 244-258.
    4. Tomoki Tanaka & Yuki Matsuda & Manato Fujimoto & Hirohiko Suwa & Keiichi Yasumoto, 2021. "Evacuation Shelter Decision Method Considering Non-Cooperative Evacuee Behavior to Support the Disaster Weak," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    5. Yunyun Niu & Jieqiong Zhang & Yongpeng Zhang & Jianhua Xiao, 2019. "Modeling Evacuation of High-Rise Buildings Based on Intelligence Decision P System," Sustainability, MDPI, vol. 11(17), pages 1-17, August.

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