earticle

영어

Litigation associated with construction defects and quality issues in apartment housing has markedly increased in Korea. A key objective of such litigation is to estimate defect repair costs, an issue of mutual significance for both residents and project developers. This study develops a regression-based predictive model to estimate defect repair costs in apartment complexes. Based on an integrated review of prior studies, construction cost, its natural logarithm, number of dwelling units, construction period, and elapsed period were selected as major explanatory variables. When predicting the defect repair cost or its logarithmic form, the proposed model satisfied the key assumptions of regression analysis independence and absence of multicollinearity while achieving the highest explanatory power. Future research should further explore additional determinants and refine analytical methodologies for modeling defect repair costs in multi-family housing.