2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Mrs. parinaz jafari, University of Alberta
Dr. Shih-Chung Kang, University of Alberta
Mr. Estacio Pereira, University of Alberta
Dr. Simaan AbouRizk, University of Alberta
The construction industry continues to experience an elevated number of accidents and fatalities, rendering safety a major concern for many construction companies. To develop more effective, proactive strategies capable of reducing future accidents, safety performance must be monitored and assessed prior to incident occurrence. Safety leading indicators can be used to proactively assess safety performance, provide insights into the effectiveness of an organization’s safety practices, and offer guidance on how to improve. Although useful, an agreed-upon set of leading indicators for proactively assessing safety performance has yet to be established in the literature. This research aims to investigate and test the feasibility of using project-related data together with safety-related data to more accurately assess proactive safety performance in industrial construction projects. Data utilized in this study were obtained from a large contractor in North America, pulled from eight industrial construction projects over a period of two years. Databases from different departments are matched and integrated into a single dataset. Correlation and feature selection techniques were used to identify the variables with the greatest impact on safety performance. Results of this study indicate that project performance data were associated with safety performance, demonstrating that project data, in addition to traditional safety leading indicators, can be used to build a safety management system to more effectively monitor safety in a project. Additionally, this study has shed light on the project performance metrics that could be collected by safety leaders to better predict safety performance on construction sites.