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Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network

The specific risk assessment of informal settlements (IS) is important for the management of IS and protection of environmental safety and public health. In this paper, we introduced the different types of IS in China, and conducted the fire risk assessment on 26 burning buildings in these IS, provi...

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Autores principales: Hu, Jun, Xie, Xuecai, Shu, Xueming, Shen, Shifei, Ni, Xiaoyong, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735542/
https://www.ncbi.nlm.nih.gov/pubmed/36497763
http://dx.doi.org/10.3390/ijerph192315689
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author Hu, Jun
Xie, Xuecai
Shu, Xueming
Shen, Shifei
Ni, Xiaoyong
Zhang, Lei
author_facet Hu, Jun
Xie, Xuecai
Shu, Xueming
Shen, Shifei
Ni, Xiaoyong
Zhang, Lei
author_sort Hu, Jun
collection PubMed
description The specific risk assessment of informal settlements (IS) is important for the management of IS and protection of environmental safety and public health. In this paper, we introduced the different types of IS in China, and conducted the fire risk assessment on 26 burning buildings in these IS, providing a semi-quantitative and scenario fire risk perception of IS in China for the readers. Two methods, the risk index and the Bayesian network, are proposed and adopted for the fire risk assessment in IS. First, a risk index system with a total of 69 factors is used to assess the degree of fire risk of buildings in IS semi-quantitatively, and the result shows that fire equipment and fire safety management on IS are seriously lacking. Then, a Bayesian network of building fire risk with a total of 66 nodes was established to assess the fire risk from ignition to spread as well as the safety evacuation. Overall, the possibility of ignition is high, but due to the role of fire equipment and fire protection design, the possibilities of fire from ignition to spread is gradually reduced. Finally, we also put forward some feasible suggestions for occupants in IS, community organizations and emergency managers to reduce the fire risk from the aspects of fire equipment and fire safety management.
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spelling pubmed-97355422022-12-11 Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network Hu, Jun Xie, Xuecai Shu, Xueming Shen, Shifei Ni, Xiaoyong Zhang, Lei Int J Environ Res Public Health Article The specific risk assessment of informal settlements (IS) is important for the management of IS and protection of environmental safety and public health. In this paper, we introduced the different types of IS in China, and conducted the fire risk assessment on 26 burning buildings in these IS, providing a semi-quantitative and scenario fire risk perception of IS in China for the readers. Two methods, the risk index and the Bayesian network, are proposed and adopted for the fire risk assessment in IS. First, a risk index system with a total of 69 factors is used to assess the degree of fire risk of buildings in IS semi-quantitatively, and the result shows that fire equipment and fire safety management on IS are seriously lacking. Then, a Bayesian network of building fire risk with a total of 66 nodes was established to assess the fire risk from ignition to spread as well as the safety evacuation. Overall, the possibility of ignition is high, but due to the role of fire equipment and fire protection design, the possibilities of fire from ignition to spread is gradually reduced. Finally, we also put forward some feasible suggestions for occupants in IS, community organizations and emergency managers to reduce the fire risk from the aspects of fire equipment and fire safety management. MDPI 2022-11-25 /pmc/articles/PMC9735542/ /pubmed/36497763 http://dx.doi.org/10.3390/ijerph192315689 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Jun
Xie, Xuecai
Shu, Xueming
Shen, Shifei
Ni, Xiaoyong
Zhang, Lei
Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network
title Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network
title_full Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network
title_fullStr Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network
title_full_unstemmed Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network
title_short Fire Risk Assessments of Informal Settlements Based on Fire Risk Index and Bayesian Network
title_sort fire risk assessments of informal settlements based on fire risk index and bayesian network
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735542/
https://www.ncbi.nlm.nih.gov/pubmed/36497763
http://dx.doi.org/10.3390/ijerph192315689
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