TY - JOUR
T1 - Probabilistic approach for identifying construction accident risk for facilities based on outdoor thermal comfort
AU - Son, Jaehui
AU - Jeong, Jaewook
AU - Jeong, Jaemin
AU - Kumi, Louis
AU - Mun, Hyeongjun
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/12
Y1 - 2025/12
N2 - When examining the environment of construction workers, it is commonly perceived they primarily work outdoors. However, in building construction, works like painting or masonry are often performed indoors. Different construction types, such as civil and building projects, expose workers to varying degrees of thermal comfort. Hence, it is crucial to assess diverse risks associated with thermal comfort in these environments. This study evaluates the relationship between facility type and thermal comfort using relative probability and uncertainty analysis, conducted in four phases. It employed k-means clustering to categorize facility types based on indoor and outdoor conditions. First, four distinct groups were identified among 44 facility types based on working conditions. Second, a consistent pattern emerged; as thermal comfort reached extreme levels (Very Cold and Warm), associated risk increased. This research contributes significantly to the field by highlighting the importance of incorporating safety management tailored to specific conditions in construction project planning.
AB - When examining the environment of construction workers, it is commonly perceived they primarily work outdoors. However, in building construction, works like painting or masonry are often performed indoors. Different construction types, such as civil and building projects, expose workers to varying degrees of thermal comfort. Hence, it is crucial to assess diverse risks associated with thermal comfort in these environments. This study evaluates the relationship between facility type and thermal comfort using relative probability and uncertainty analysis, conducted in four phases. It employed k-means clustering to categorize facility types based on indoor and outdoor conditions. First, four distinct groups were identified among 44 facility types based on working conditions. Second, a consistent pattern emerged; as thermal comfort reached extreme levels (Very Cold and Warm), associated risk increased. This research contributes significantly to the field by highlighting the importance of incorporating safety management tailored to specific conditions in construction project planning.
KW - Construction risk evaluation
KW - Indoor and outdoor working conditions
KW - Physiological equivalent temperature
KW - Relative probability
KW - Two-step k-means clustering
UR - https://www.scopus.com/pages/publications/105018171583
U2 - 10.1016/j.dibe.2025.100776
DO - 10.1016/j.dibe.2025.100776
M3 - Article
AN - SCOPUS:105018171583
SN - 2666-1659
VL - 24
JO - Developments in the Built Environment
JF - Developments in the Built Environment
M1 - 100776
ER -