AN INFERENCE METHOD OF SAFETY ACCIDENTS OF CONSTRUCTION WORKERS ACCORDING TO THE RISK FACTOR REDUCTION OF THE BAYESIAN NETWORK MODEL IN LINEAR SCHEDULING

To protect workers' safety and health at the construction site is becoming a core value of the construction site. A safer working environment is created when risk factors on site work are recognized in advance. This study targets the worker's 1-day cycle activity in Linear Scheduling. In addition, this study suggests a Bayesian network model that presents risk factors and probability of accidents. Accidents come down to a final disaster through causal relationship from various existing risk factors. The physical risk factors of the workspace are the most direct cause of accidents. This study uses the Bayesian network model to compare the probability of accidents caused by changes in the safety environment of the work from the risk factors that have been eliminated and those that have not been eliminated. Statistical probability values confirm that accident risks can be remarkably reduced when all possible risk factors are reviewed and eliminated in advance