Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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Assessing Issues of Apartment Housing Defect Cases Using Text Mining

텍스트 마이닝 기법을 이용한 공동주택 하자판결사례 쟁점분석

  • Bang, Hong-Soon (Dept. of Architectural Engineering, Chungbuk University) ;
  • Heo, Han-Kyul (Architecture & Urban Research Institute) ;
  • Kim, Ok-kyue (Dept. of Architectural Engineering, Chungbuk University)
  • 방홍순 (충북대 건축공학과) ;
  • 허한결 (건축공간연구원 빅데이터연구단) ;
  • 김옥규 (충북대 건축공학과)
  • Received : 2022.07.18
  • Accepted : 2022.09.21
  • Published : 2022.10.30
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Abstract

In response to improper apartment housing maintenance practices, residents can file defect complaints or defect dispute litigations against construction companies. Legal arguments can then be made to address conflicting claims regarding housing and maintenance standards along with repair methods. A considerable amount of money and time are typically spent in these legal matters. To address these problems, conflicting claims and other controversial issues must first be resolved before a defect complaint or defect dispute litigation is issued. In this study, 61 court rulings were examined to analyze the controversies related to apartment housing construction defects. Keywords were derived from these cases using a Python program. The derived keywords were classified by work type, location, cause, and type. The main issues related to work type in housing defect court rulings were tiles, fire doors, paint, trees, and facilities. The data related to these items were compared with defect repair data. Analysis of the court cases of main work types and defect repair data revealed that various construction types such as tiles, wallpaper, equipment, and furniture overlapped. Our analysis revealed that if the derived work types are systematically managed, defect disputes and defect filings could be reduced.

Keywords

References

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