In urban planning, center identification has been one of the most important subjects in terms of urban growth management and efficiency. Therefore, many studies have investigated more accurate and efficient methodology in order to identify the urban center such as employment density, network concentration density and land price gradient. They have used the administrative boundary as the spatial analysis unit because almost all data are collected by it. However, it has serious limitation in detecting the accurate boundary of urban center because it is restricted within the existing administrative unit boundary. This study suggests the Density-Based Clustering (DENCLUE) method as the alternative which identifies more accurate urban center boundary. We examined pros and cons of DENCLUE method on the Gangnam subcenter identification with 9-Dong employment data. The results showed that DENCLUE can improve the accuracy of center identification and expectation power about future growth of center. In fact, the center identification results by DENCLUE are significantly different from those by the existing methods which use administrative unit.
목차
Abstract 1. 서론 2. 선행연구 2.1 중심지 식별관련 선행연구 2.2 GIS 밀도분석관련 선행연구 3. 분석자료 및 분석방법 4. 분석결과 4.1 행정동 단위 중심지 식별 4.2 DENCLUE기법을 이용한 중심지 식별 4.3 비교 분석 5. 결론 참고문헌
한국지역개발학회 [The Korean Regional Development Association]
설립연도
1989
분야
사회과학>지역개발
소개
국토의 균형발전과 도시 및 농촌지역 계획에 관한 이론을 종합적으로 연구하고 지역개발에 관한 학문적, 실용적 연구발전을 통하여 지속가능한 지역발전에 기여함을 목적으로 한다.
또한 세계화 시대에 부응하여 아시아지역의 선도적인 지역개발 경험을 바탕으로 개발도상국가의 지역개발전략 및 개발사업을 지원한다.
간행물
간행물명
한국지역개발학회지 [Journal of the Korean Regional Development Association]