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Cellular Automata‐Based Systematic Risk Analysis Approach for Emergency Response

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  • Xuewei Ji
  • Wenguo Weng
  • Weicheng Fan

Abstract

Emergency response is directly related to the allocation of emergency rescue resources. Efficient emergency response can reduce loss of life and property, limit damage from the primary impact, and minimize damage from derivative impacts. An appropriate risk analysis approach in the event of accidents is one rational way to assist emergency response. In this article, a cellular automata‐based systematic approach for conducting risk analysis in emergency response is presented. Three general rules, i.e., diffusive effect, transporting effect, and dissipative effect, are developed to implement cellular automata transition function. The approach takes multiple social factors such as population density and population sensitivity into consideration and it also considers risk of domino accidents that are increasing due to increasing congestion in industrial complexes of a city and increasing density of human population. In addition, two risk indices, i.e., individual risk and aggregated weighted risk, are proposed to assist decision making for emergency managers during emergency response. Individual risk can be useful to plan evacuation strategies, while aggregated weighted risk can help emergency managers to allocate rescue resources rationally according to the degree of danger in each vulnerable area and optimize emergency response programs.

Suggested Citation

  • Xuewei Ji & Wenguo Weng & Weicheng Fan, 2008. "Cellular Automata‐Based Systematic Risk Analysis Approach for Emergency Response," Risk Analysis, John Wiley & Sons, vol. 28(5), pages 1247-1260, October.
    • Handle: RePEc:wly:riskan:v:28:y:2008:i:5:p:1247-1260
    DOI: 10.1111/j.1539-6924.2008.01104.x
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    References listed on IDEAS

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    1. Jinghong Wang & Siuming Lo & Qingsong Wang & Jinhua Sun & Honglin Mu, 2013. "Risk of Large‐Scale Evacuation Based on the Effectiveness of Rescue Strategies Under Different Crowd Densities," Risk Analysis, John Wiley & Sons, vol. 33(8), pages 1553-1563, August.
    2. Ju He & Yunxiao Dang & Wenzhong Zhang & Li Chen, 2020. "Perception of Urban Public Safety of Floating Population with Higher Education Background: Evidence from Urban China," IJERPH, MDPI, vol. 17(22), pages 1-16, November.
    3. C. Natalie van der Wal & Daniel Formolo & Mark A. Robinson & Steven Gwynne, 2021. "Examining Evacuee Response to Emergency Communications with Agent-Based Simulations," Sustainability, MDPI, vol. 13(9), pages 1-24, April.
    4. Jiajun Wang & Zhichao He & Wenguo Weng, 2020. "A review of the research into the relations between hazards in multi-hazard risk analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2003-2026, December.

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