Fire Risk Assessment and Driving Factor Analysis for the Building Complex of the Palace Museum in China

The unique structure of ancient buildings poses a significant risk of fire hazards, so the assessment of potential fire risk is of great significance to fire safety management. This paper examines the fire risk associated with the building complex of the Palace Museum. Firstly, a fire risk assessment indicator system was constructed based on three dimensions: hazard factors, sensitivity of hazard-bearing bodies, and loss control factors. Secondly, the weight values for each index were calculated based on the entropy weight method. Finally, the monthly fire risk assessment levels in the year 2019 were visualized by using a geographic information system. Based on the fire risk assessment results, this study quantitatively reveals the fire risk driving mechanism of ancient buildings in the Palace Museum from the perspective of spatial stratified heterogeneity by using the geodetector model. The results show that there are differences between the main factors that affect the weight of fire risk assessment and the main factors that cause the spatial heterogeneity of fire risk. Factors such as the safety protective grade and staff number contribute to a stronger explanation of the spatial stratified heterogeneity for fire risk within the museum. The results can help us to understand the driving factors affecting the distribution patterns of fire risk for the Palace Museum and could provide support for the formulation of fire prevention and safety management measures.

Authors

Institutions

Publication Details

Journal
Fire
Published
2024-12-07
DOI
https://doi.org/10.3390/fire7120468
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fire Risk Assessment and Driving Factor Analysis for the Building Complex of the Palace Museum in China

Jinzhou Liu, Zhanfeng Shen, Xinwei Yang, Bo Wang et al.
Fire
Evacuation and Crowd Dynamics
article

Fire Risk Assessment and Driving Factor Analysis for the Building Complex of the Palace Museum in China

Jinzhou Liu, Zhanfeng Shen, Xinwei Yang, Bo Wang, Yating Lei
article en

Abstract

The unique structure of ancient buildings poses a significant risk of fire hazards, so the assessment of potential fire risk is of great significance to fire safety management. This paper examines the fire risk associated with the building complex of the Palace Museum. Firstly, a fire risk assessment indicator system was constructed based on three dimensions: hazard factors, sensitivity of hazard-bearing bodies, and loss control factors. Secondly, the weight values for each index were calculated based on the entropy weight method. Finally, the monthly fire risk assessment levels in the year 2019 were visualized by using a geographic information system. Based on the fire risk assessment results, this study quantitatively reveals the fire risk driving mechanism of ancient buildings in the Palace Museum from the perspective of spatial stratified heterogeneity by using the geodetector model. The results show that there are differences between the main factors that affect the weight of fire risk assessment and the main factors that cause the spatial heterogeneity of fire risk. Factors such as the safety protective grade and staff number contribute to a stronger explanation of the spatial stratified heterogeneity for fire risk within the museum. The results can help us to understand the driving factors affecting the distribution patterns of fire risk for the Palace Museum and could provide support for the formulation of fire prevention and safety management measures.

FireVol. 7(12)
Chinese Academy of Sciences (CN), Palace Museum (CN), Aerospace Information Research Institute (CN), University of Chinese Academy of Sciences (CN)
Sustainable cities and communities
Openalex Percentile: Top 70%
Evacuation and Crowd Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fire Risk Assessment and Driving Factor Analysis for the Building Complex of the Palace Museum in China — Jinzhou Liu, Zhanfeng Shen, et al. · Fire (2024) | TGRS Research Map | TGRS