머신러닝 기반 환경색채 분석을 통한 색채관리에 관한 연구 -에코시티 해외 사례 중심으로-

Abstract

(Background and Purpose) Recently, various new cities have been developed and residential spaces have been secured to create residential areas in Korea. Recently, environmental issues have been emerged along with global warming and the shortage of residential space. the governments are focusing on the development of eco-friendly city to solve the above problems. reckless urban development can weaken the unique locality of the region. So, the historical, cultural, and residential sentiment of the city should be considered. In this situation, color management becomes an important factor for consistent urban planning and development. Color management is a high-level concept that oversees all parts related to color, such as harmony with the surrounding environment and color development that suits the purpose. This study aims to conduct a comparative analysis of each overseas case in order to harmonize the natural environment and artifacts while maintaining the direction and consistency of landscape structure development through color management. (Method) With the characteristics of locality, environmental color cases of eco-city to which eco-friendly policies are applied are analyzed. Based on machine learning(K-mean clustering), environmental color analysis of overseas cases related to Eco city is conducted. (Results) In this study, Canadian dockside green gives dynamic elements to the entire city with the appropriate use of vivid colors suitable for waterfront spaces. The German mesestream shows a cool and clean image even though it is an orchid color using high-definition colors that harmonize well with nature. Swedish Hamabi Hirstad gives a mature image. Overall, the color difference is planned to a large extent, and the use of colors opposite the surrounding green areas makes nature stand out. British Bedjed forms a unique image by stimulating curiosity with various materials and point colors, and shows individuality and originality. Finnish Vicky forms a soft and gentle city image with the color of garnish and medium chroma. Masdar, Abu Dhabi, UAE, also applies regional colors to the exterior colors of the building, reflecting the characteristics of the area and the color plan that matches the unique building shape. (Conclusions) our research confirms that color trends are planned and carried out differently according to local emotions, history, surrounding environment, and residents' emotions for each country's eco-city. It is important to show the identity of the region that can be harmonized with the natural environment through continuous and systematic color planning considering locality. However, these cases alone have limitations in making color guidelines detailed. Therefore, in terms of color management considering locality, it is necessary to develop environmental or regional color guidelines, standardized color guidelines, and regular color management training for related workers, and future research needs to create color management guidelines for each category.