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      都市機能과 土地利用 패턴에 관한 硏究 = (A) Study on the Urban Function and Land Use Pattern

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      https://www.riss.kr/link?id=T1737612

      • 저자
      • 발행사항

        광주 : 朝鮮大學校 大學院, 1995

      • 학위논문사항

        학위논문(석사) -- 조선대학교 대학원 , 토목공학과 , 1995. 2

      • 발행연도

        1995

      • 작성언어

        한국어

      • 주제어
      • KDC

        539.7 판사항(4)

      • DDC

        333.73 판사항(20)

      • 발행국(도시)

        광주

      • 형태사항

        vi, 67p. : 삽도 ; 26cm

      • 일반주기명

        참고문헌: p. 66-67

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      On the basis of the variable which have strong urban nature in national cities, central function-index that had influenced the urban factors were focused on in this study. Through the analysis, the factors featuring the city were examined in order to know the pattern of spatial distribution.
      The conclusions are the followings.
      First, industrial function-index and population were concentrated chiefly in five big cities including Seoul.
      Second, in the relation between industrial function-index and population, new and satellite cities around big cities have only the function of dwelling area, not self-sufficient function. However, traditional cities with its long history and tourist-attractions around it play important roles as a local center.
      Third, in the city with the population of one million and the city with that of 300,000 to 100,000, there in a relation between population and function-index. This shows that industrial functions are distributed in proportion to population.
      Fourth, in sampled cities, industrial functions are concentrated in C.B.D. However, in Kwang-ju in process of industrial areas, manufacture shows high function-index in industrial complex areas, and transportation in divided points of traffic, too.
      Fifth, in Mok-po and Sun-cheon city, the relation between function-index, distance from downtown, and its population was very high.
      Sixth, in factors featuring industrial activities of a city, Kwang-ju and Mok-po city have 4 factors each and Sun-cheon 3 ones.
      Finally, in the spatial distribution of function-index of each factor, Daekum-dong Chungsu-dong and Daein-dong located in C. B. D of Kwang-ju have many industrial functions. This means how much C.8.D in the spatial structure is responsible for the concentration of functions. Manho-dong, Man-dong and Yiro-dong of Mok-po city have a high rate of function index Especially, Manho-dong located near the shore, shows the highest index of all. Changcheon-dong, Jungang-dong and Samsan-dong of Sun-cheon city comprise more than 70%. This means that urban functions are concentrated in some areas with C.B.D in a center.
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      On the basis of the variable which have strong urban nature in national cities, central function-index that had influenced the urban factors were focused on in this study. Through the analysis, the factors featuring the city were examined in order to ...

      On the basis of the variable which have strong urban nature in national cities, central function-index that had influenced the urban factors were focused on in this study. Through the analysis, the factors featuring the city were examined in order to know the pattern of spatial distribution.
      The conclusions are the followings.
      First, industrial function-index and population were concentrated chiefly in five big cities including Seoul.
      Second, in the relation between industrial function-index and population, new and satellite cities around big cities have only the function of dwelling area, not self-sufficient function. However, traditional cities with its long history and tourist-attractions around it play important roles as a local center.
      Third, in the city with the population of one million and the city with that of 300,000 to 100,000, there in a relation between population and function-index. This shows that industrial functions are distributed in proportion to population.
      Fourth, in sampled cities, industrial functions are concentrated in C.B.D. However, in Kwang-ju in process of industrial areas, manufacture shows high function-index in industrial complex areas, and transportation in divided points of traffic, too.
      Fifth, in Mok-po and Sun-cheon city, the relation between function-index, distance from downtown, and its population was very high.
      Sixth, in factors featuring industrial activities of a city, Kwang-ju and Mok-po city have 4 factors each and Sun-cheon 3 ones.
      Finally, in the spatial distribution of function-index of each factor, Daekum-dong Chungsu-dong and Daein-dong located in C. B. D of Kwang-ju have many industrial functions. This means how much C.8.D in the spatial structure is responsible for the concentration of functions. Manho-dong, Man-dong and Yiro-dong of Mok-po city have a high rate of function index Especially, Manho-dong located near the shore, shows the highest index of all. Changcheon-dong, Jungang-dong and Samsan-dong of Sun-cheon city comprise more than 70%. This means that urban functions are concentrated in some areas with C.B.D in a center.

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      목차 (Table of Contents)

      • 목차 = ⅰ
      • ABSTRACT = ⅴ
      • Ⅰ. 序論 = 1
      • A. 硏究의 目的 = 1
      • B. 硏究의 範圍 및 方法 = 2
      • 목차 = ⅰ
      • ABSTRACT = ⅴ
      • Ⅰ. 序論 = 1
      • A. 硏究의 目的 = 1
      • B. 硏究의 範圍 및 方法 = 2
      • 1. 硏究의 範圍 = 2
      • 2. 硏究의 方法 = 4
      • Ⅱ. 都市機能과 土地利用패턴에 관한 諸理論 = 5
      • A. 都市機能의 分類 = 5
      • 1. 定性的 方法 (Qualitative Method) = 6
      • 2. 定量的 方法 (Quantitative Method) = 7
      • 3. 多變量 分析方法 = 12
      • B. 都市活動體系와 土地利用 = 13
      • 1. Colby의 土地利用 支配力 = 14
      • 2. Foley의 空間構造모델 = 15
      • 3. Webber & Rodwin의 空間構造分析모델 = 16
      • C. 都市空間構造 = 17
      • 1. 中心地理論 = 17
      • 2. 都市內部空間構造 = 21
      • 3. Burgess, Hoyt, Harris & Ullman's Model의 經驗的 檢證 = 25
      • Ⅲ. 分析을 위한 技法의 考察 = 28
      • A. 變數의 選定과 機能指數 算出方法 = 28
      • 1. 變數의 選定 = 28
      • 2. 機能指數 算出方法 = 29
      • B. 要因分新의 意義 = 31
      • Ⅳ. 全國都市의 機能指數와 要因分析 = 32
      • A. 中心性을 利用한 産業機能指數 = 32
      • B. 全國都市의 要因分析 = 36
      • Ⅴ. 事例地域의 分析結果 = 37
      • A. 機能指數와 相關性 分析 = 42
      • 1. 光州市 = 42
      • 2. 木浦市 = 47
      • 3. 順天市 = 49
      • B. 事例地域의 要因分析 = 51
      • 1. 光州市 = 51
      • 2. 木浦市 = 51
      • 3. 順天市 = 52
      • C. 中心機能指數를 利用한 要因別 空間分布 = 53
      • 1. 光州市 = 53
      • 2. 木浦市 = 57
      • 3. 順天市 = 61
      • Ⅵ. 結論 = 64
      • 參考文獻 = 66
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