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회귀분석을 통한 공동주택 하자소송 판결금 예측

Prediction of Compensation Costs in Apartment Housing Defects Lawsuits using Regression Analysis

  • 투고 : 2020.09.21
  • 심사 : 2021.02.08
  • 발행 : 2021.02.28

초록

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.

키워드

참고문헌

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