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http://dx.doi.org/10.5345/JKIBC.2021.21.2.105

Cost Prediction Model for Building Demolition Work by Using Regression Analysis  

Kim, Taehoon (Department of Architectural Engineering, Chosun University)
Kim, Young Hyun (Department of Architectural Engineering, Chosun University)
Cho, Kyuman (Department of Architectural Engineering, Chosun University)
Publication Information
Journal of the Korea Institute of Building Construction / v.21, no.2, 2021 , pp. 105-112 More about this Journal
Abstract
While the scale of the domestic market for demolition work is steadily increasing, research on cost prediction for demolition work is insufficient. Thus, this study proposes a cost prediction model for demolition work that reflects various attributes influecing the fluctuation of demolition cost. 13 influencing factors and historical cost data were collected based on literature review and experts' advice, and two prediction models were constructed through regression analysis and the prediction accuracy was evaluated. As a result, it showed an average error rate of about 6 to 12%, and it was possible to explore the possibility of use as a reliable prediction model. The results of this study can contribute to estimating appropriate construction cost and improving related standards for domestic demolition works in the future.
Keywords
demolition cost; cost prediction; regression analysis;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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