| Title |
Predictive Analytics Model for Death Accidents in Building Projects by Trade - Based on Decision Tree - |
| Authors |
Choi, Jeong Won ; Kim, Han Soo |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2021.22.5.055 |
| Keywords |
Predictive Analytics; Decision Tree Model; Construction Industrial Accidents; Construction Death Accidents |
| Abstract |
Compared with other industries, construction industry shows a higher rate of death accidents and recently companies’ legal responsibilities are to be increasingly enforced. The trend causes tremendous concerns for construction firms and increases the importance of forecasting and pro-actively managing death accidents in construction fields. The objective of the study is to develop a predictive analytics model for forecasting death accidents in building projects based on a decision tree technique, which enables to forecast the probabilities of death accidents by trade. The use of the model helps to decrease risks of legal punishments and to assist the safe execution of building projects by forecasting and pro-actively managing death accidents. |