Data · dataset · 2026
<p>Building fire risk levels in the FRI method.</p>
Listed in NCL Data
<div><p>High-rise buildings have become a dominant form of urban development.
Description
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.
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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.</p></div>
Links
Where it is published
- DOI doi.org/10.1371/journal.pone.0358941.t007 ↗
DOI / persistent id · from data ncl ac uk
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from data ncl ac uk
Topics
- From keywords
- Biochemistry and cell biology · Cancer · Earth & Environmental Science · Life Sciences · Medicine & Health · Social Science · Sociology
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCL Data | oai:figshare.com:article/34072408 | 23 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[disease].local:disease:cancer | mapping · data ncl ac uk | vocabulary-mapper@1.0.0 | keywords['Cancer'] |
| concepts[field].anzsrc:group:3101 | mapping · data ncl ac uk | vocabulary-mapper@1.0.0 | keywords['Cell Biology'] |
| concepts[field].anzsrc:group:4410 | mapping · data ncl ac uk | vocabulary-mapper@1.0.0 | keywords['Sociology'] |
| concepts[field].local:field:earth-environmental | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| description | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | |
| title | source · data ncl ac uk | connector:data_ncl_ac_uk@1.0.0 | /metadata/dc/title |