The construction industry suffers from frequent and expensive safety accidents, significantly
affecting construction project performance. Numerous data-driven classification models …

Occupational accidents are common in the construction industry, therefore developing
prediction models to detect high severe accidents would be useful. However, existing …

Occupational accidents are frequent in the construction industry, containing significant risks
in the working environment. Therefore, early designation, taking preventive actions, and …

Purpose Consequence prediction is an emerging topic in safety management concerning
the severity outcome of accidents. In practical applications, it is usually implemented through …

Current national occupational safety and health (OSH) initiatives follow reactive approaches,
ie, if it breaks, fix it. Existing accounts, however, failed to improve national OSH …

Construction is a key pillar in the global economy, but it is also an industry that has one of
the highest fatality rates. The goal of the current study is to employ machine learning in order …

Workplace safety is always a concern of utmost importance in any organization. Studies
have shown that the fatality rate is highest in the construction industry among all other …

Construction accidents can easily cause massive casualties and property losses. This
research uses machine learning technique to analyze 16 critical factors and assess the …

Recently, policies and research to prevent increasing construction accidents have been
actively conducted in the domestic construction industry. In previous studies, the prediction …

Despite remarkable advances in the construction industry, it is still among the most
hazardous industries; accidents occur in the construction industry with different severity …