| Title |
Prediction of Compensation Costs in Apartment Housing Defects Lawsuits using Regression Analysis |
| Authors |
고선주(Ko, Seon-Ju) ; 이경태(Lee, Kyung-Tae) ; 김기환(Kim, Ki-Hwan) ; 김주형(Kim, Ju-Hyung) |
| DOI |
https://doi.org/10.5659/JAIK.2021.37.2.197 |
| Keywords |
Apartment House; Defect; Defect lawsuit; Correlation Analysis; Regression Analysis; Compensation costs |
| Abstract |
There are various types and causes of apartment defects, and thus, appraisal process is challenging. For this reason, the appeal rate for
apartment defects lawsuits reaches 58%, which is higher than other civil litigation. Previous studies have mainly suggested judgments
prediction formulas that can be used before litigations to prevent defect lawsuits. However, in many cases, the lawsuits are inevitable due to
the complex characteristics in terms of construction methods and residents’ satisfaction. This paper proposes equations for judging the
appropriateness of the compensation cost after the first trial to support decision-making for filing appeal. A regression analysis is conducted
against 28 cases on apartments defects in order to identify the relations between independent and dependent variables. The results show that
two types of prediction equations are appropriate : judgment cost reflecting unit area, and judgment cost using security deposit for repairing
defects. According to verification, the former is more accurate than the latter. The estimation equations in this paper can provide a reasonable
settlement money so that the providers and the residents can reach an amicable agreement, and the judgment cost appropriateness after the
first trial can be judged to prevent additional litigation. |