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Multi-objective evacuation routing optimization for toxic cloud releases

Author

Listed:
  • Gai, Wen-mei
  • Deng, Yun-feng
  • Jiang, Zhong-an
  • Li, Jing
  • Du, Yan

Abstract

This paper develops a model for assessing the risks associated with the evacuation process in response to potential chemical accidents, based on which a multi-objective evacuation routing model for toxic cloud releases is proposed taking into account that the travel speed on each arc will be affected by disaster extension. The objectives of the evacuation routing model are to minimize travel time and individual evacuation risk along a path respectively. Two heuristic algorithms are proposed to solve the multi-objective evacuation routing model. Simulation results show the effectiveness and feasibility of the model and algorithms presented in this paper. And, the methodology with appropriate modification is suitable for supporting decisions in assessing emergency route selection in other cases (fires, nuclear accidents).

Suggested Citation

  • Gai, Wen-mei & Deng, Yun-feng & Jiang, Zhong-an & Li, Jing & Du, Yan, 2017. "Multi-objective evacuation routing optimization for toxic cloud releases," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 58-68.
  • Handle: RePEc:eee:reensy:v:159:y:2017:i:c:p:58-68
    DOI: 10.1016/j.ress.2016.10.021
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    Cited by:

    1. Seo, Seung-Kwon & Yoon, Young-Gak & Lee, Ju-sung & Na, Jonggeol & Lee, Chul-Jin, 2022. "Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    2. Khakzad, Nima, 2023. "A methodology based on Dijkstra's algorithm and mathematical programming for optimal evacuation in process plants in the event of major tank fires," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    3. Kim, Gibeom & Heo, Gyunyoung, 2023. "Agent-based radiological emergency evacuation simulation modeling considering mitigation infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    4. Lovreglio, Ruggiero & Spearpoint, Michael & Girault, Mathilde, 2019. "The impact of sampling methods on evacuation model convergence and egress time," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 24-34.
    5. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    6. Teichmann, Dusan & Dorda, Michal & Sousek, Radovan, 2021. "Creation of preventive mass evacuation plan with the use of public transport," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    7. Tao, Longlong & Wu, Jie & Ge, Daochuan & Chen, Liwei & Sun, Ming, 2022. "Risk-informed based comprehensive path-planning method for radioactive materials road transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

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