IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v244y2024ics0951832023008268.html
   My bibliography  Save this article

An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception

Author

Listed:
  • He, Zhichao
  • Shen, Kaixin
  • Lan, Meng
  • Weng, Wenguo

Abstract

Evacuation path planning is an important research topic in emergency management of chemical accidents. Facing the challenges of the continuous increase in the frequency of multi-hazard chemical accidents including fires, explosions, and toxic releases, the requirement to improve the evacuation path planning method considering the dynamic and multi-hazard characteristics of the accidents has become increasingly urgent. In order to address the shortcomings of the static, single-hazard, and passive evacuation path planning methods, this paper proposes an evacuation path planning method for multi-hazard accidents in chemical industries based on advance and on-site risk perception. This method applies dynamic and comprehensive risk analysis as the equivalent distance criterion to improve the D* path planning algorithm. A chemical park in Guangzhou, China, is adopted as a case study to verify the effectiveness of the proposed method and quantitatively demonstrate the effect of the method in improving evacuation efficiency. This paper further discusses the flexibility of the proposed method in considering environmental factors, evacuation preferences, and emergency response requirements. The evacuation path planning method proposed in this paper is expected to contribute to the optimization of emergency management of multi-hazard accidents and provide guidance for the enhancement of safety and loss prevention in chemical industries.

Suggested Citation

  • He, Zhichao & Shen, Kaixin & Lan, Meng & Weng, Wenguo, 2024. "An evacuation path planning method for multi-hazard accidents in chemical industries based on risk perception," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:reensy:v:244:y:2024:i:c:s0951832023008268
    DOI: 10.1016/j.ress.2023.109912
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832023008268
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2023.109912?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Shengyan & Ma, Hongyan & Zhang, Yingda & Wang, Shuai & Guo, Rong & He, Wei & Xu, Jiechuan & Xie, Zongyuan, 2023. "Emergency evacuation risk assessment method for educational buildings based on improved extreme learning machine," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    2. Wang, Xinjian & Xia, Guoqing & Zhao, Jian & Wang, Jin & Yang, Zaili & Loughney, Sean & Fang, Siming & Zhang, Shukai & Xing, Yongheng & Liu, Zhengjiang, 2023. "A novel method for the risk assessment of human evacuation from cruise ships in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Liu, Qiong & Guo, Kai & Wu, Xianguo & Xiao, Zhonghua & Zhang, Limao, 2024. "Simulation-based rescue plan modeling and performance assessment towards resilient metro systems under emergency," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    4. Byungtae Yoo & Sang D. Choi, 2019. "Emergency Evacuation Plan for Hazardous Chemicals Leakage Accidents Using GIS-based Risk Analysis Techniques in South Korea," IJERPH, MDPI, vol. 16(11), pages 1-14, June.
    5. 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.
    6. 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).
    7. 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).
    8. Khakzad, Nima, 2023. "A goal programming approach to multi-objective optimization of firefighting strategies in the event of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    9. Yuan, Shuaiqi & Cai, Jitao & Reniers, Genserik & Yang, Ming & Chen, Chao & Wu, Jiansong, 2022. "Safety barrier performance assessment by integrating computational fluid dynamics and evacuation modeling for toxic gas leakage scenarios," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. 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).
    3. 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).
    4. Kim, Gibeom & Heo, Gyunyoung, 2023. "Agent-based radiological emergency evacuation simulation modeling considering mitigation infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    5. Cai, Jitao & Wu, Jiansong & Yuan, Shuaiqi & Reniers, Genserik & Bai, Yiping, 2024. "Risk-based optimization of emergency response systems for accidental gas leakage in utility tunnels," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    6. Ding, Zhikun & Xu, Shengqu & Xie, Xiaofeng & Zheng, Kairui & Wang, Daochu & Fan, Jianhao & Li, Hong & Liao, Longhui, 2024. "A building information modeling-based fire emergency evacuation simulation system for large infrastructures," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
    7. Bi, Yubo & Wu, Qiulan & Wang, Shilu & Shi, Jihao & Cong, Haiyong & Ye, Lili & Gao, Wei & Bi, Mingshu, 2023. "Hydrogen leakage location prediction at hydrogen refueling stations based on deep learning," Energy, Elsevier, vol. 284(C).
    8. 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.
    9. 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).
    10. Khakzad, Nima, 2023. "A goal programming approach to multi-objective optimization of firefighting strategies in the event of domino effects," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    11. Jieyin Lyu & Shouqin Zhou & Jingang Liu & Bingchun Jiang, 2023. "Intelligent-Technology-Empowered Active Emergency Command Strategy for Urban Hazardous Chemical Disaster Management," Sustainability, MDPI, vol. 15(19), pages 1-28, September.
    12. Zhen-Song Chen & Min Li & Wen-Tao Kong & Kwai-Sang Chin, 2019. "Evaluation and Selection of HazMat Transportation Alternatives: A PHFLTS- and TOPSIS-Integrated Multi-Perspective Approach," IJERPH, MDPI, vol. 16(21), pages 1-33, October.
    13. Zhang, Zheng & Wang, Pan & Hu, Huanhuan & Li, Lei & Li, Haihe & Yue, Zhufeng, 2022. "Efficient reliability-based design optimization for hydraulic pipeline with adaptive sampling region," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    14. Tohme, Tony & Vanslette, Kevin & Youcef-Toumi, Kamal, 2023. "Reliable neural networks for regression uncertainty estimation," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    15. Nguyen, Hoang & Bui, Xuan-Nam & Topal, Erkan, 2023. "Reliability and availability artificial intelligence models for predicting blast-induced ground vibration intensity in open-pit mines to ensure the safety of the surroundings," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    16. Cheraghi, Morteza & Taghipour, Sharareh, 2024. "A mathematical optimization model for determining safety integrity levels in process facilities," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    17. 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).
    18. Rose, Rodrigo L. & Mugi, Sohan R. & Saleh, Joseph Homer, 2023. "Accident investigation and lessons not learned: AcciMap analysis of successive tailings dam collapses in Brazil," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    19. Liu, Shuanglei & Li, Weijun & Gao, Peng & Sun, Yibo, 2022. "Modeling and performance analysis of gas leakage emergency disposal process in gas transmission station based on Stochastic Petri nets," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    20. Mendoza-Lugo, Miguel Angel & Morales-Nápoles, Oswaldo, 2024. "Mapping hazardous locations on a road network due to extreme gross vehicle weights," Reliability Engineering and System Safety, Elsevier, vol. 242(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:244:y:2024:i:c:s0951832023008268. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.