Development of a Fire Risk Assessment System for Industrial Complexes Using GIS

Purpose: Industrial complexes, which contain a variety of facilities, equipment, and raw materials, and employ a large number of workers, are highly susceptible to severe damage caused by fire. Therefore, this study proposes a fire risk assessment system tailored to the characteristics of industrial complexes. Method: First, based on existing fire-related assessment systems, fire risk assessment system suitable for industrial complexes are reviewed. Second, 8 fire risk indicators for industrial complexes are selected from indicators collected based on previous studies: number of fire occurrences, building density, old building ratio, accessibility of fire engines, fire risk increasing facilities, fire hydrant, fire station, and evacuation risk reduction facilities. Third, appropriate assessment method is derived for each indicator. Finally, the developed fire risk assessment system is verified by applying the method to the Nam-dong industrial complex. Result: The proposed fire risk assessment system, specialized for industrial complexes, could identify and visualize fire vulnerable areas within the industrial complex. This study provides a foundation for quantitative and systematic fire risk assessment through GIS-based spatial analysis. The results are expected to be used to identify vulnerable areas that have potential fire hazards, enabling the establishment of preventive measures to minimize property loss and save lives.

Authors

Publication Details

Journal
KIEAE Journal
Published
2024-08-31
DOI
https://doi.org/10.12813/kieae.2024.24.4.105
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a Fire Risk Assessment System for Industrial Complexes Using GIS

Jong-Ho Lee, Dongwook Sohn, Kyujin Choi, C. Y. Park
KIEAE Journal
Evacuation and Crowd Dynamics
article

Development of a Fire Risk Assessment System for Industrial Complexes Using GIS

Jong-Ho Lee, Dongwook Sohn, Kyujin Choi, C. Y. Park
article en

Abstract

Purpose: Industrial complexes, which contain a variety of facilities, equipment, and raw materials, and employ a large number of workers, are highly susceptible to severe damage caused by fire. Therefore, this study proposes a fire risk assessment system tailored to the characteristics of industrial complexes. Method: First, based on existing fire-related assessment systems, fire risk assessment system suitable for industrial complexes are reviewed. Second, 8 fire risk indicators for industrial complexes are selected from indicators collected based on previous studies: number of fire occurrences, building density, old building ratio, accessibility of fire engines, fire risk increasing facilities, fire hydrant, fire station, and evacuation risk reduction facilities. Third, appropriate assessment method is derived for each indicator. Finally, the developed fire risk assessment system is verified by applying the method to the Nam-dong industrial complex. Result: The proposed fire risk assessment system, specialized for industrial complexes, could identify and visualize fire vulnerable areas within the industrial complex. This study provides a foundation for quantitative and systematic fire risk assessment through GIS-based spatial analysis. The results are expected to be used to identify vulnerable areas that have potential fire hazards, enabling the establishment of preventive measures to minimize property loss and save lives.

KIEAE JournalVol. 24(4)
Ministry of Science and ICT, South Korea
Sustainable cities and communities
Openalex Percentile: Top 81%
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.

Development of a Fire Risk Assessment System for Industrial Complexes Using GIS — Jong-Ho Lee, Dongwook Sohn, et al. · KIEAE Journal (2024) | TGRS Research Map | TGRS