earticle

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.