Journal of the Architectural Institute of Korea (대한건축학회논문집)

Architectural Institute of Korea (대한건축학회)
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The Maintenance Factors of Apartment Building Defects Using Text Mining Techniques

텍스트 마이닝 기법을 이용한 공동주택 하자의 유지관리 요소 분석

  • 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 : 2022.06.23
  • Accepted : 2022.08.25
  • Published : 2022.09.30
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Abstract

There are secondary defects in apartment buildings that are not directly produced from construction errors, but are derived from other types of defects. To improve the quality of the type of construction that causes these secondary defects, it is important to define and manage them by analyzing data regarding defects in apartment buildings. This study analyzed approximately 1.33 million cases that finished defect repairs in 2019 then defined the frequency and repair costs of fundamental and secondary defects. This analysis revealed that secondary defects had accounted for 3.83% of the entire defect frequency and made up 6.08% of the repair costs. Using text mining techniques, this analysis presented the types of construction that had caused secondary defects in apartment buildings in the order of frequency and average similarity to reduce such secondary defects. According to the similarity analysis of the types of construction, wallpaper work topped the frequency order with 68,060 cases, which took up 38.36%, and its similarity was 0.615 on average. Furthermore, with 4,518 cases, electricity work was first in the average frequency at 2.54% and its average similarity was 0.955. To present these results as a whole, the word cloud technique was used.

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References

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