Early Warning Model using Case-Based Reasoning for Construction Site Safety Accidents

In these days, the accidents on construction site are continuously increasing in spite of the managerial efforts and financial investments. This trend encourage safety managers or decision makers to enhance existing approaches and to develop innovative and proactive management aids. In this study, we propose an early warning model, called the Early Warning Model (hereafter EWM), for the potential types and causes of an accident as a project is progressive, using Case-Based Reasoning technique. The EWM was tested with illustrative cases, and the results showed a few possible cases with high likelihood for a specific situation randomly selected in the construction field. It is expected that the EWM is useful for furnishing safety managers and field supervisors with warning signals during the construction and helpful for assisting them in responding preactively and minimizing the ripple effect of construction site accidents.