퍼지추론을 이용한 도시쇠퇴 평가모형 개발 및 적용 : 2000년 이후 청주시 집계구 통계를 중심으로

다국어 초록 (Multilingual Abstract)

To reinforce national competitiveness, solve urban unbalance issues and raise competitiveness, it is necessary to objectively and clearly grasp and diagnose the urban decline issues scattered across our country. Therefore, this study carried out pattern classification of the current census output areas in Cheongju city according to the actual inspection purposes of individual buildings, developed an urban decline index by patterns of analyzing urban decline characteristics, and classified urban decline analyses and urban decline rankes according to the patterns. And the study was carried out in the sequence of the selection of urban decline indices by patterns of census output areas through surveys of experts three times, the development of an urban decline evaluation model via fuzzy inference, and the classification of urban decline rankes, in order to achieve its purpose.
First of all, for pattern classification of census output areas, we requested and obtained the information on the actual inspection space for 88,183 individual buildings in Cheongju city from the National Spatial Information Clearinghouse. Based on this, this study sorted 28 purposes of individual buildings according to the Building Act, and classified them into residential, commercial, industrial and other purposes. This study superposed a layer of census output area boundary onto the sorted building purposes, and carried out the patterning of census output areas through the biological dominance value indices based on the building purposes in the census output area. Among them, the composite purpose was classified as a census output area with a low dominance value index, which was verified through a species variety index again. In addition, this study compared the purpose area on the current management plan with the actual inspection purpose of the classified census output areas through this study, and analyzed its consistency. 122 urban decline indices extracted from the preceeding research were developed by patterns through a survey of experts three times. A position function was determined through a survey of experts, and an urban decline evaluation model was established in a non fuzzy method via a centroid method by creating a fuzzy rule through a survey of experts.
As a result of urban decline evaluation and rank classification, firstly, for residential census output areas, the residential census output area in the outskirts of cities is growing, but the census output area at the original downtown around Cheongju cityhall, Chungbuk provincial government building, Sandang Park and Seongan Street is declining. Secondly, for commercial census output areas, the Seongan Street, the biggest business district, is showing a stagnation phenomenon, which can be said to be a difference from other small and medium cities. And the residential development project area formed in the outskirts of Cheongju city is gradually declining to the present from the past based on the project completion point of time. Thirdly, for industrial census output areas, the areas except for the Hynix complex and Cheongju industrial complex five-way crossing constructed newly around Cheongju industrial complex show a declining trend, which can be said to be a point of time requiring the restructuring of industry, etc. Fourthly, the composite type is judged to be declining due to the somewhat negative external effect because of being located at a middle region between the commercial census output area and the residential census output area in the new residential development project complex at the outskirts, and it can be grasped that a distortion phenomenon with a mitigated allowable purpose of sites is distributed across Cheongju city.
The meaning of this study carried out through the above process is as follows: The trend and cause of urban decline by residential, commercial, industrial and composite patterns could be grasped by using census output areas to analyze the urban decline. In addition, some commercial census output areas are not declining compared to the overall commercial census output areas in the Cheongju city, but there were a number of corresponding census output areas showing a declining trend. That is, the urban decline analysis is subjected to both the temporal and spatial concepts, so it could be seen that an exact and positive urban decline analysis can be carried out when analyzing and synthesizing both aspects. The previous urban decline studies were carried out based on conclusive logic via a Crisp set, but this study digitized and analyzed verbal ambiguity called an urban decline by using fuzzy inference.
However, there were an aspect that various urban decline indices to reflect an urban decline could not be established due to the use of census output areas as a basic unit of urban decline analysis, and a limit in basic data to analyze the urban decline trend because the initial establishment time of census output areas was early 2000. And the census output areas are set based on commercial population, and thus the industrial census output areas appear to be broad in unit area, so there was a limit in preciously measuring the urban decline of the industrial census output area.
The result of this study can be used as basic data for cancelling and designating a redevelopment zone designated according to the urban and residential environment redevelopment law. And this result is expected to be used as basic data for establishing an urban regeneration strategy plan according to the urban regeneration special law, selecting an urban regeneration activation zone and establishing an urban regeneration activation plan.

목차 (Table of Contents)

• I. 서 론 1
• 1. 연구의 배경 및 목적 1
• 2. 연구 방법 및 절차 3
• II. 관련이론 및 선행연구 검토 6
• 1. 도시발전론과 도시쇠퇴 6
• (1) 도시발전론 8
• (2) 축소도시 13
• (3) 도시쇠퇴 등급결정과 도시발전단계론 14
• 2. 도시쇠퇴의 정의와 원인 15
• (1) 도시쇠퇴의 정의 15
• (2) 분야별 도시쇠퇴 17
• (3) 한국의 도시쇠퇴 양상 22
• (4) 도시평가의 흐름과 방향 25
• 3. 퍼지추론 28
• (1) 퍼지집합의 개념 및 정의 28
• (2) 퍼지추론의 공간분석 적용성 30
• 4. 선행연구 검토 35
• (1) 도시쇠퇴 평가연구 35
• (2) 퍼지추론을 이용한 평가연구 39
• (3) 기존연구와의 차별성 40
• III. 도시쇠퇴 평가모형 기본 틀 설정 41
• 1. 도시쇠퇴평가 공간단위 설정 41
• (1) 개별 건축물 실사용 용도분류 41
• (2) 집계구 용도별 유형분류 43
• (3) 용도지역과 집계구 유형분류 비교 47
• 2. 도시쇠퇴평가 지표선정 및 유형화 54
• (1) 도시쇠퇴지표 선정과정 54
• (2) 도시쇠퇴 지표선정 56
• (3) 도시쇠퇴지표 유형화 63
• IV. 퍼지추론을 이용한 도시쇠퇴 평가모형 개발 67
• 1. 개요 67
• 2. 퍼지추론 68
• (1) 퍼지화 및 소속도 함수결정 68
• (2) 퍼지룰 규칙 생성 80
• (3) Mamdani 방법론에 의한 퍼지추론 89
• (4) 무게중심법에 의한 비퍼지화(defuzzification) 91
• 3. 도시쇠퇴 등급구분 92
• 4. 도시쇠퇴 평가모형 94
• V. 평가모형 적용 96
• 1. 대상지역 96
• 2. 유형별 도시쇠퇴 평가 및 등급구분 98
• (1) 주거형 99
• (2) 상업형 106
• (3) 공업형 113
• (4) 혼합형 116
• 3. 평가결과 종합 119
• 4. 퍼지분석과 불린분석 비교 124
• VI. 결론 128
• 참고문헌 130
• 부 록 140