| Title |
Development of a Safety and Health Expense Prediction Model inth e Construction Industry |
| Authors |
Yeom, Dong Jun ; Lee, Mi Young ; Oh, Se Wook ; Han, Seung Woo ; Kim, Young Suk |
| DOI |
http://dx.doi.org/10.6106/KJCEM.2015.16.6.063 |
| Keywords |
Safety and Health Expense ; MRA(Multiple Regression Analysis) ; Regression |
| Abstract |
The importance of the appropriate use and procurement of Safety and Health Expense has been increasing along with the recent increase of construction projects in height, size and complexity. However, the current standards for deducting the Safety and Health Expense have shown limitations in applying the properties and environment of the construction project due to its Safety and Health Expense Rate‘s classification method. Therefore, the purpose of this study is to develop a prediction model for the Safety and Health Expense that enables the consideration of different environment and properties of construction projects. The study uses multiple regression analysis to analyze the Safety and Health Expense of Ordinary(A) of less than 0.5 billion WON. The research results have shown that the use of multiple regression analysis reduces the error rate to 4.38% which the current standard calculation method have shown 18.48%. Therefore, the use of the suggested model provides reliable Safety and Health Expense prediction values that considers the properties of the project. It is expected that the results of this study contributes to the effective safety management by providing the appropriate amount of Safety and Health Expense to the project. In this study, only projects of less than 5 billion WON have been considered in the analysis. Therefore, more data is required for future studies to suggest an overall Safety and Health Expense predict ion model that covers the whole construction industry. |