Improving the Process of Accident Analysis Using HumanFactor Analysis and Classification System (HFACS) Framework in Construction

Abstract

Construction-related accidents continue to be a major problem, necessitating a thorough and methodical approach to their study and prevention. Using the Human Factor Analysis and Classification System (HFACS) framework, this research suggests a novel approach to enhance the accident analysis process in the construction industry. HFACS, which was first created in the aviation industry, has shown promise in recognizing and classifying human error that contributes to mishaps. In order to give a comprehensive knowledge of the human variables impacting accidents on construction sites, this study adapts HFACS to the construction setting. An organized method for examining these elements at the organizational, supervisory, and individual levels will be the modified HFACS framework. It is anticipated that the results will provide important insights into the underlying causes of accidents, enabling the creation of focused interventions and preventative measures. This research is important because it might improve safety procedures and reduce accidents in the construction sector. Construction businesses and other stakeholders may better identify the root causes of accidents and take preventative measures to reduce risks by using the HFACS framework. By methodically detecting and classifying human mistakes that lead to accidents, the HFACS framework may enhance accident analysis in the construction industry. This methodical approach will aid in the creation of practical plans to stop mishaps of this kind from happening again. The purpose of this literature review is to examine earlier research that used the HFACS framework to increase safety and lower human error in a variety of sectors, including rail, marine, and aviation.