IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i16p12417-d1217954.html
   My bibliography  Save this article

Fire Safety Resilience Assessment of Residential Self-Built Houses according to the TOPSIS Method

Author

Listed:
  • Ying Zhang

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

  • Rumeng Tian

    (School of Emergency Management, Henan Polytechnic University, Jiaozuo 454000, China)

  • Lei Peng

    (School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

  • Xiaoxia Yu

    (Publicity and Education Center, Emergency Management Department, Beijing 100013, China)

  • Yan Wang

    (School of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

Fire extinguishing in residential self-built houses is difficult, and casualties are likely to occur. The aim of this study was to improve the fire safety resilience of residential self-built houses and decrease fire safety hazards. Firstly, the connotation of fire resilience of residential self-built houses was scientifically defined according to resilience theory. Then, a fire safety resilience evaluation index system with resistance, response and learning as the core was developed based on the properties of residential self-built houses, legal norms and relevant literature. At the same time, to weaken the effects of subjective factors, a fire safety resilience evaluation model of residential self-built houses was established based on a combination weighting–similarity to ideal solution (TOPSIS) method to quantify the influence of each index and divide the resilience level standards. Finally, a practical case of a residential self-built house in Jiaozuo City was adopted for resilience assessment for the verification of the scientificity and rationality of the model. The results showed the following. (1) In the evaluation system, the proportion of the coping and learning stages was 75%, and improving this factor significantly promoted the fire safety resilience of residential self-built houses. (2) Through TOPSIS, the fire safety resilience of residential self-built houses was classified into four groups of poor, medium, good and excellent. (3) By performing an example test, the fire safety resilience level of this residential self-built house was found to be medium, and the evaluation results were basically consistent with the actual situation of the building, which verified the scientificity and rationality of the proposed model.

Suggested Citation

  • Ying Zhang & Rumeng Tian & Lei Peng & Xiaoxia Yu & Yan Wang, 2023. "Fire Safety Resilience Assessment of Residential Self-Built Houses according to the TOPSIS Method," Sustainability, MDPI, vol. 15(16), pages 1-12, August.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12417-:d:1217954
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/16/12417/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/16/12417/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jun Hu & Xuecai Xie & Xueming Shu & Shifei Shen & Xiaoyong Ni & Lei Zhang, 2022. "Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network," IJERPH, MDPI, vol. 19(23), pages 1-18, November.
    2. Xiaojuan Li & Weibin Chen & Chen Wang & Mukhtar A. Kassem, 2022. "Study on Evacuation Behavior of Urban Underground Complex in Fire Emergency Based on System Dynamics," Sustainability, MDPI, vol. 14(3), pages 1-33, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xianghua Xu & Ningshuang Zeng & Mengmei Li & Yan Liu & Qiming Li, 2024. "Enhancing Fire Resilience in High-Tech Electronic Plants for Sustainable Development: Combining System Composition with Organizational Management," Sustainability, MDPI, vol. 16(4), pages 1-17, February.
    2. Katarzyna Pawluk & Marzena Lendo-Siwicka & Roman Trach & Grzegorz Wrzesiński & Jan Kowalski & Paweł Ogrodnik & Michał Jasztal & Łukasz Omen & Petro Skrypchuk, 2024. "Sustainable Design and Construction Cost of Warehouse in the Light of Applicable Fire Regulations," Sustainability, MDPI, vol. 16(7), pages 1-20, April.

    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. Xuecai Xie & Jun Hu & Gui Fu & Xueming Shu & Yali Wu & Lida Huang & Shifei Shen, 2023. "Investigation of Unsafe Acts Influence Law Based on System Dynamics Simulation: Thoughts on Behavior Mechanism and Safety Control," IJERPH, MDPI, vol. 20(6), pages 1-30, March.
    2. Rongshan Nie & Zhen Wang, 2024. "Research on the Dynamic Model of Emergency Rescue Resource-Allocation Systems for Mine-Fire Accidents, Taking Liquid CO 2 Transportation as an Example," Sustainability, MDPI, vol. 16(6), pages 1-20, March.

    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:gam:jsusta:v:15:y:2023:i:16:p:12417-:d:1217954. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.