An Intelligent Deep Learning-Based Framework for Safety Management in Building Construction Projects

The construction industry continues to experience a high rate of occupational accidents despite significant advances in digital technologies and smart construction practices. Although Building Information Modeling (BIM), the Internet of Things (IoT), Digital Twins, and Artificial Intelligence (AI) have improved project monitoring and operational efficiency, ensuring effective safety management remains a major challenge due to the complex interaction of human, behavioral, organizational, and technological factors. This study proposes an intelligent deep learning-based framework for improving Construction Safety Management Performance in building construction projects.A quantitative research approach was adopted using questionnaire data collected from construction professionals. Structural Equation Modeling (SEM) was employed to examine the relationships among human, behavioral, organizational, and technological factors affecting construction safety management. Subsequently, a deep neural network (DNN) was developed using the significant variables identified through the SEM analysis to predict construction safety management performance.The results indicated that organizational factors exerted the strongest influence on Construction Safety Management Performance, followed by human, technological, and behavioral factors. Furthermore, the proposed DNN achieved an overall prediction accuracy of ۹۱.۴%, demonstrating its capability to capture complex nonlinear relationships among the investigated variables and provide reliable predictions for safety management performance.The proposed framework integrates structural analysis with predictive intelligence, offering a practical decision-support tool for proactive safety management and intelligent decision-making in building construction projects. The findings contribute to both theory and practice by supporting the implementation of data-driven safety management systems and facilitating the digital transformation of the construction industry.

کلیدواژه ها:

: Construction Safety Management ، Deep Learning ، Safety Performance ، Smart Construction ، Building Construction.