| Title |
A Study on the Analysis and Estimation of the Construction Cost by Using Artificial Neural Network in the BTL Projects for Educational Facilities |
| Authors |
Son Jae-Ho ; Kim Sung-Kyum ; Kim Jae-On |
| Keywords |
BTL ; Construction Cost Estimation ; Educational Facility ; ANN(Artificial Neural Network) ; Regression Analysis |
| Abstract |
For successful BTL(Build-Transfer-Lease) projects for educational facilities, construction cost estimation during the conceptual phase of projects is considered to be very important, and accordingly, many studies have been conducted on the subject. However, only few studies have considered multiple factors that affect the estimation of construction cost for educational facilities. More studies considering multiple factors should be conducted to promote rational decision making when planning projects and allocating budget for new educational facilities and to improve the current budget allocation system that uses a univariate model for estimating construction cost. This study is conducted to derive a construction cost estimation model for BTL educational facilities, especially for new elementary, middle and high school buildings. From the results of this study, the estimation model that uses a regression analysis and the ANN(Artificial Neural Network) will be established, and more reliable estimation of construction cost will be possible in the early stage of construction projects for BTL educational facilities. |