대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제38권3호
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  • Pages.189-198
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  • 2022
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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머신러닝을 이용한 부정형 필지의 유형화

Typification of Irregular Shaped Land Parcels Using Machine Learning

  • 홍성조 (충북대학교 도시공학과) ;
  • 이윤서 (한국교육개발원 교육시설.환경연구센터)
  • Hong, Sungjo (Dept. of Urban Engineering, Chungbuk National University) ;
  • Lee, Yoonseo (Center for Educational Facilities and Environments Research, Korean Educational Development Institute)
  • 투고 : 2021.11.25
  • 심사 : 2022.03.07
  • 발행 : 2022.03.30
⟨ 이전 논문 다음 논문 ⟩

초록

The shape of land parcels greatly affects land value, the density of buildings, and the shape of a building. Although the Korean system classifies parcel shapes into 6 types, there are irregularly shaped land parcels that cannot be classified. Irregular shaped land parcels impose many restrictions on the arrangement and form of buildings, and these restrictions are even more severe with small parcels. Until now, studies on the shape of parcels have been conducted, but studies on irregularly shaped land parcels have been insufficient. Therefore, this study aims to typify irregular shaped land parcels that are difficult for humans to distinguish by applying machine learning methodology and to identify the characteristics of each type. The subject of this study is irregular shaped land parcels in the class-II general residential areas of Seoul; there were 500 sample parcels extracted and used for analysis. Irregular shaped land parcels were typified using K-means clustering, which is a representative method of unsupervised learning to solve classification problems. Afterwards, the values of Shape Index (SI), STandard Index (STI), and With-depth Ratio (WR), which are indices related to parcel shape, were compared by type. Upon analysis, the types of irregular parcels could be divided into avocado type, potato type, corner type, bell type, stick type, and L-shaped type. The stick type and L-shaped type reflected small SI values. The avocado type, corner type, and L-shaped type revealed small STI values. Lastly, the WR value was substantial for the stick type and L-shaped type.

키워드

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