Abstract
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.
| Original language | English |
|---|---|
| Article number | 100776 |
| Journal | Developments in the Built Environment |
| Volume | 24 |
| DOIs | |
| State | Published - Dec 2025 |
Keywords
- Construction risk evaluation
- Indoor and outdoor working conditions
- Physiological equivalent temperature
- Relative probability
- Two-step k-means clustering
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