Advancing Research in Construction Safety through Quantitative Applications

The construction industry is among the most hazardous sectors in the United States. Many incidents leading to injuries and fatalities are the result of collisions between workers and equipment, as well as falls from roofs, scaffolds, and trench edges. Traditionally, construction safety research has primarily relied on the analysis of historical data obtained from federal agencies such as the Occupational Safety and Health Administration (OSHA), the National Institute for Occupational Safety and Health (NIOSH), and the Bureau of Labor Statistics (BLS); supplemented by interviews with industry practitioners and qualitative assessments. While these efforts have revealed significant trends and highlighted critical safety issues, they often lack a proactive dimension that leverages advanced quantitative methodologies. This paper introduces several quantitative approaches grounded in statistical analysis, design of experiments, and information technology to support the identification of root causes of construction accidents and highlight opportunities for enhancing safety performance in construction operations. These methods emphasize extensive field data collection and the application of novel data analysis techniques. Importantly, the proposed approaches are not intended to replace existing qualitative methods, but rather to complement them, recognizing the complexity of construction safety, which arises from the interplay of equipment, human behavior, and high-risk construction activities.