Earticle

The goal of this study is to analyze transformations of space composition logic in the case of super-high-rise mixed residence buildings' luxurious apartments in Busan after the policy of price deregulation. Nowadays so-called Jusanboghab apartment is becoming one of the principal residences for high class. So, It is possible to discover the model for the ideal housing which Koreans cherish and the grammar of space composition analysing space compositions realized in Jusanboghab Apartments. The results are as follow: Regardless of the diversity of unit plan types which is seen in our samples, the rules of space structuration are generally observed as in earlier times and in other types of apartment today etc..

1980년대 이후 도시주거문화를 대표해온 아파트 중심의 획일화된 공동주택의 공급은 주택부족 문제를 해결하는 결정적인 역할을 하였지만, 인구성장의 둔화, 저성장시대의 도래로 수요확대기에 적합하였던 민간 중심의 양적인 주택 공급은 문제인식과 함께 한계에 도달하고 있다. 또한 최근 도시계획 및 주거정책은 신도시 개발로 인한 대규모 주택 공급보다는 기존 도시의 지속가능성을 핵심으로 주택시장의 현안을 진단하고 정책효과를 예측하는 방향으로 빠르게 변화하고 있어 지역별 특성을 반영할 수 있는 방안이 요구되고 있다. 본 연구에서는 주택시장의 안정을 도모할 수 있는 합리적인 정책결정 지원체계 구축을 위한 접근방법으로 주택하위시장의 구조적 특성을 분석하고 맞춤형 정책적 방안 제시를 목적으로 한다.

The real estate market is formed by regional or local communities, each of local market is to look for regional differences even in the real estate market indicators such as price, supply and demand. In addition, due to the nature of the real estate market, real estate heterogeneous characteristics are differentiated according to the region, income, property type, such as layered demand, thus differentiating the real estate market is difficult to organize have individual characteristics. The territory of housing market has been limited to a certain spatial region segmentation is happening in this part of the market by the mismatch of supply and demand imbalance occurs due. Therefore, by analyzing the local region formed for housing markets and market conditions may be desirable to derive the policy options accordingly. This paper seeks to let the statistical data for administrative units of Busan and Daegu define housing market segments by multivariate analysis. First, factor analysis is used to extract a set of factors based on the statistical similarity. Second, factor scores are calculated and cluster analysis is used to determine the composition of housing submarkets. From this study, the housing market in Busan and Daegu is confirmed that working is divided into a huge market rather than the six housing submarkets, and through a variety of factors that affect the supply and demand sides of the housing market can look at the characteristics of the market. Through this, it is possible to structure a housing market that is formed in the metropolitan area, and it will be an effective policy data for developing a customized housing policy for sustainable urban development.