Earticle

초록

영어

In collective housing, the view quality is considered important in the respect of dwelling quality, economic value, and so on. Due to the densification of collective housing, it is becoming more important to solve problems such as visual infringement caused by interference between adjacent buildings. The purpose of this study is to propose the quantitative analysis methodology the visual openness of individual units in collective housing, and to propose the visual optimization model that derives the optimized collective housing layout. Through the review of the preceding literature, the definition of the view and the standard of the viewing point were prepared, and the visual analysis methodology was established by applying the isovist theory to quantify visual openness. For optimization of view quality, the visual optimization model was established by applying the NSGA-II theory, a kind of genetic algorithm. In order to examine the effectiveness of the visual optimization model, the model was applied to an existing collective housing and alternative layouts were generated as visually optimized. Finally, suitability of the layouts was reviewed.

목차

Abstract
1. 서론
1.1 연구배경 및 목적
1.2 연구의 방법 및 절차
2. 문헌 고찰
2.1 조망과 조망 공간
2.2 가시영역 이론
3. 연구방법론
3.1 정량적 조망 분석 방법론 수립
3.2 조망 분석 솔루션 개발
3.3 조망 최적화 솔루션 개발
3.4 조망 최적화 모델
4. 조망 최적화 모델 유효성 검토
4.1 집합주택 단지 선정
4.2 조망 최적화 모델 적용
4.3 적용 결과의 정성적 평가
5. 결론
REFERENCES

키워드

집합주택 조망 분석 조망 최적화 그래스호퍼 유전 알고리즘 파라메트릭 디자인 Collective Housing Visual Analysis Visual Optimization Grasshopper Genetic Algorithm Parametric Design

저자

• 김찬우 [ Kim, Chan-Woo | 부경대학교 건축학과 석사과정 ]
• 김도희 [ Kim, Do-Hee | 부경대학교 건축학과 학사과정 ]
• 김민석 [ Kim, Minseok | 부경대학교 건축학과 교수, 공학박사 ] Corresponding Author

참고문헌

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