Fire risk assessment for high-rise buildings based on Integrated Disaster Risk Theory

Yingda Huang, Zonglai Liu, Xiaogeng Wei and Zhi-Jin Wu

PLOS ONE, 2026, vol. 21, issue 10, 1-23

Abstract: High-rise buildings have become a dominant form of urban development. However, because these buildings face multiple fire safety risks, including difficulties in fire suppression, diverse occupancy types, rapid fire spread, and challenging evacuation, once a fire occurs, it is likely to cause serious casualties and significant property losses. It is therefore essential to carry out fire risk assessments for high-rise buildings in advance and to adopt targeted prevention and control measures. To improve the systematic and scenario-specific assessment of fire risk in high-rise buildings, this study introduces the Integrated Disaster Risk Theory into high-rise building fire risk assessment and reconstructs the assessment indicator system according to the specific formation mechanism of high-rise building fires. Indicator weights were integrated using a game-theoretic approach and then combined with cloud model theory to construct a fire risk assessment model for high-rise buildings, thereby identifying the corresponding fire risk levels of high-rise buildings. The assessment results for a typical high-rise building in Changchun showed that its fire risk level was Grade II, indicating a relatively low fire risk. This result was consistent with those obtained using an existing fire risk index method (FRI), thereby supporting the plausibility and consistency of the proposed model. This study provides a more targeted fire risk assessment framework for high-rise buildings, offering methodological support for fire prevention, evacuation management, and emergency rescue resource allocation.

Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0358941 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 58941&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0358941

DOI: 10.1371/journal.pone.0358941

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().