|M.Sc Student||Maayan Atir|
|Subject||Implementation Effect of a Risk Evaluation Model on|
Construction Site Safety
|Department||Department of Civil and Environmental Engineering||Supervisor||Professor Yehiel Rosenfeld|
|Full Thesis text - in Hebrew|
This final paper derives from a broader study sponsored by the Ministry of Industry, Trade and Employment. The main study dealt with the development of a model named CHASTE (Construction Hazard Analysis with Spatial and Temporal Exposure) in order to predict loss of control scenarios and indicate the factors affecting those scenarios before a task is begun. This current study assesses the model's ability to predict risk factors and risk levels. It focuses on implementing the model on active construction sites and assessing its predictive abilities. The data were drawn from observation and documentation of the activities performed on the construction sites, along with other features, such as the environment, roles of the managers, the workers' tasks, work planning, safety planning and management, and the system's sensitivity to the fluctuations of human performance, all in order to update the software as efficiently as possible, and thus use the model to obtain results as close as possible to reality. Although the conclusions are mostly general and circumstantial pertaining to how the software works and how to implement it on a construction site, the current study indicates that it is advantageous to apply the model with its software to safety risk management on construction sites. By focusing attention on the interactions between an individual and his environment, it was possible to point out significant problematic focal points and suggest applicable solutions, even if some of these cannot be implemented immediately. The wealth of information gathered for this study makes it possible to answer the question whether and to what extent one can activate and implement the proposed safety management software. The study identified how to upgrade the proposed system to make it simpler and more user-friendly. Thus, this study constitutes a significant contribution to the field of software-assisted construction safety management as a unique evidence base, which can serve as the starting point of a process to improve construction site safety. This study revealed and encompassed a great deal of data which is now a reliable source of up-to-date information for both professionals and researchers. It represents an innovative approach to safety risk management in construction in conjunction with planning performance to obtain maximum systemic efficiency according to the LEAN principles.