Journal of the Architectural Institute of Korea Planning & Design (대한건축학회논문집:계획계)

Architectural Institute of Korea (대한건축학회)
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The Method for Analyzing Potentially Collapsible Aged Buildings Using Big Data and its Application to Seoul

빅데이터 기반의 잠재적 붕괴위험 노후건축물 도출 방법 및 서울특별시 적용 연구

  • 임혜연 (서울대학교 환경대학원) ;
  • 박철영 (한양대학교 대학원 도시공학과) ;
  • 조성현 (서울대학교 건축학과) ;
  • 이강 (연세대학교 건축공학과)
  • Received : 2018.10.31
  • Accepted : 2019.02.01
  • Published : 2019.02.28
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Abstract

The purpose of this study is to derive an improved method for analyzing old buildings with risk of collapse using public big data. Previous studies on the risk of building collapse focused on internal factors such as building age and structural vulnerability. However, this study suggests a method to derive potentially collapsible buildings considering not only internal factors of buildings but also external factors such as nearby new construction data. Based on the big data analysis, this study develops a system to visualize vulnerable buildings that require safety diagnosis and proposed a future utilization plan.

Keywords

Acknowledgement

Supported by : 서울혁신챌린지

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