| 논문명 |
빅데이터 기반의 잠재적 붕괴위험 노후건축물 도출 방법 및 서울특별시 적용 연구 / The Method for Analyzing Potentially Collapsible Aged Buildings Using Big Data and its Application to Seoul |
| 저자명 |
임혜연(Lim, Hae-Yeon) ; 박철영(Park, Cheol-Yeong) ; 조성현(Cho, Sung-Hyeon) ; 이강(Lee, Ghang) |
| 수록사항 |
대한건축학회논문집 계획계, Vol.35 No.02 (2019-02) |
| 주제어 |
노후건축물 ; 붕괴가능성 ; 빅데이터 ; 도시안전 ; Aged Building ; Collapsibility ; Big Data ; Urban Safety |
| 요약2 |
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. |
