The recent global economic crisis caused the recession of the domestic real estate, and accordingly maintenance and remodeling on existing public housing has been growing interested. As the aging of public housing, it has caused the increase of the CO2 emissions and the worse of the residential environment. So this study is to derive at the optimal remodeling time with an minimize CO2 emissions. Remodeling of the public housing is included in the long-term repair plan to public unit and the private unit based on empirical studies. The exterior of high-rise public housing and water supply, sanitation, gas and ventilation equipment, heating and hot water supply facilities, etc., it was calculated CO2 emissions by repairs and remodeling. As a result, it can be predicted to when minimize CO2 emissions to the remodeling of public housing. And while maintaining the good condition of housing environment, the global environment friendly remodeling housing project can be expected to expand.

The study was conducted for the purpose of determining the size of the floor area of super-tall building by use. So, considering the urban capacity in the region around the super-tall buildings, it has been developed for the prediction methodology of the size. Through the information of the buildings and the cadastral, the correlation and regression analysis were performed by 18 super-tall buildings located in Korea As a result, the residential floor capacity was under the influence of land use of residential and green space, and the business floor capacity was under the influence of land use of green space. Hotel and commercial area, where as the land use and has shown significant results that do not. of a building the size of the surrounding areas for residential and green space and commercial floor area size of the impact of land use for was larger. Hotel and commercial floor capacity, where as the land use and has shown significant results that do not. After this study, it is need to the consideration of the urban capacity around region and supertall buildings to enhance the role of public of supertall buildings. And it will be need to improve the accuracy of prediction with applications to the information of buildings around the region of supertall buildings.

This study is on the correlation between the capacity of the city, and floor area of super-tall buildings. Land use affects on a floor area by use of super-tall buildings, and amenities and public facilities affects too. As a result, the appropriate size of the super-tall buildings on the capacity of the city will help in the development of the district region.