4.6 Article

Development of Fire Safety Assessment Model for Buildings Using Analytic Hierarchy Process

期刊

APPLIED SCIENCES-BASEL
卷 13, 期 13, 页码 -

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MDPI
DOI: 10.3390/app13137740

关键词

fire; safety assessment; buildings; multi-criteria decision-making (MCDM); analytic hierarchy process (AHP)

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Fires pose significant risks to life, property, and the economy. Traditional fire safety assessment methods are laborious and challenging, hindering the identification of fire hazards and optimal safety measures. This research introduces an analytic hierarchy process for assessing building fire safety, supported by case studies that demonstrate its superiority over conventional techniques. The proposed method provides hazard and safety ratings, yielding comprehensible and comparable results, making it a valuable decision-making tool for enhancing fire safety in buildings.
Fires pose significant risks, encompassing loss of life, destruction of property, and substantial adverse impacts on the economy. Therefore, the prioritization of fire safety in building structures must be embraced by all relevant stakeholders, including building owners, authorities, and the general public. However, traditional fire safety assessment methods can be laborious and challenging, impeding the identification of potential fire hazards and the selection of optimal fire safety measures. To this end, this research study offers an analytic hierarchy process for assessing building fire safety. Two case studies are presented to support this model's outperformance compared with conventional assessment techniques. The proposed method yields hazard ratings of 5.3 and 4.3 along with safety ratings of 5.5 and 5.9 for the two case studies. Additionally, the proposed model yields comprehensible, well-documented, and comparable results. Therefore, it serves as a valuable decision-making tool for evaluating fire hazards and enhancing the efficiency of building structures. As a result, decision-makers can identify current and future fire protection and prevention requirements with greater ease and precision, making the decision-making process more effective.

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