Abstract
Hazard recognition and communication is critical for preventing injuries on construction projects. Across the industry, employers encourage workers to conduct regular pre-job safety meetings and hazard analyses to identify, communicate, and mitigate site-based hazards. Although such programs promote safety, potential benefits are often lost because of inefficient communication channels, differences in language proficiency, and poor safety culture. In this study, we use social network analysis (SNA) to explore the relationship between patterns of worker interaction and situational hazard awareness on active projects in the United States. Specifically, we (1) gathered hazard recognition and communication level data from 18 active construction crews involved in diverse projects and trades through field observations; (2) measured and modeled safety interaction among crew members using social network analysis, and (3) related network characteristics with situational awareness capability of the crews. The results of the study provide strong evidence suggesting that well-connected crews with higher network density outperform poorly-connected crews in identifying and communicating hazards. As a result, it is necessary that safety practitioners not only implement traditional program elements but also promote efficient and frequent interaction among workers of all trades.