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

Accidents in the construction industry remain a significant concern, demanding a comprehensive and systematic approach to their analysis and prevention. This study proposes an innovative method to improve the process of accident analysis in construction by using the Human Factor Analysis and Classification System (HFACS) framework. HFACS, originally developed in aviation, has proven effective in identifying and categorizing human errors contributing to accidents. This research adapts HFACS to the construction context, aiming to provide a complete understanding of the human factors influencing accidents on construction sites. The adapted HFACS framework will serve as a structured tool for analyzing these factors, encompassing organizational, supervisor, and individual levels. The findings are expected to contribute valuable insights into the root causes of accidents, allowing for the development of targeted mediations and preventive measures. The significance of this study lies in the potential to enhance safety practices and minimize accidents in the construction industry. By applying the HFACS framework, construction companies and stakeholders can gain a deeper understanding of the underlying causes of accidents and take proactive steps to mitigate risks. By using the HFACS framework, accident analysis in construction can be improved by systematically identifying and categorizing human errors that contribute to accidents. This systematic approach will help in the development of effective strategies to prevent similar accidents from occurring in the future. This literature review aims to explore previous studies that have utilized the HFACS framework in various industries, such as aviation, maritime, and rail, to improve safety and reduce human errors.