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      • KCI등재

        도시재생에 따른 주거재정착 결정요인 분석

        최열,임하경,장원호,Choi, Yeol,Yim, Ha Kyoung,Jang, Won Ho 대한토목학회 2009 대한토목학회논문집 D Vol.29 No.3D

        본 연구는 부산시 19개 주택재개발사업구역의 7,396명의 표본을 대상으로 도시재생에 의한 지역주민의 주거재정착 여부와 그 비용에 대한 결정요인을 소유자 특성과 토지 및 건축물 특성, 단지특성, 입지특성 등의 변수를 통해 실증분석하였다. 도시재생에 의한 주거재정착과 주거재정착 비용에 대한 결정요인 분석결과를 정리하면 다음과 같다. 첫째, 도시재생에 의한 주거재정착을 결정짓는 요인으로는 소유자의 연령, 거주지, 부동산의 보유기간, 투자여부, 소유권외 권리 등의 설정 등의 소유자 특성과 해당 토지의 지목, 건축물의 용도, 토지와 건축물의 면적과 허가유무, 보상액 등의 토지 및 건축물 특성, 시공사의 브랜드, 조합원 할인액, 단지규모, 중대형 주택의 비율, 녹지율, 건폐율, 용적률 등의 단지특성과 대생활권을 나타내는 입지특성으로 구성된다. 반면, 단지특성에서는 시공사의 브랜드 가치, 중대형 주택의 비율, 용적률 등 주택의 가치를 향상시킬 수 있는 조건들이 주민들의 재정착을 유도하는데 중요한 역할을 하고 있음을 알 수 있었다. The aim of this study is to analyze the evaluations and determinants on residential resettlements in accordance with urban regeneration by 7,396 samples from 19 housing redevelopment districts in Busan. The major finding on determinants on residential resettlements in accordance with urban regeneration are as follows; A binary logit model for determinants on residential resettlements in accordance with urban regeneration are composed of owner's characteristics, land and building characteristics, housing complex characteristics, and location characteristics. The significant variables in relation to owner's characteristics are owner's age, owner's place of residence, the possession period against property and investment intention. As a result of logit model for residential resettlements, it shows that the variables in relation to land and building characteristics are the land classification, the use of building, the size of land or building, the permission of building and the appraisal price on land and building. This result means that actual customer's investment connects to resettlement after redevelopment project. The other side, the housing complex variables consist of the brand of construction company, the ratio of large size housing and floor are ratio shows that improvable conditions for housing value are important factor to induce residence's resettlement. The location variables show that Dongbusan has higher probability, the reverse Jungbusan has lower probability in residential resettlement likewise residential preference.

      • 일자리 창출을 위한 창조계층 및 창조산업 육성의 도시계획 정책 연구

        최열,이재송,최효비 부산연구원 2015 연구보고서 학연연구 Vol.2015 No.0

        □ Research Background and Purposes It has become difficult to create added value with the manufacturing-centered industry and employment. In order to turn Busan into a creative city by invigorating its creative economy, fostering the creative industry and the creative class in which people work in the industry is of the utmost necessity. While the majority of the support policies have been administrative and financial measures to foster the creative industry and the creative class, urban planning approaches can provide creative foundations to the city to facilitate the development of the industry. For doing so, it is necessary to analyze what kind of influences certain urban planning features have on the creative industry and the creative class so as to suggest policy implementation related to urban planning. This study, therefore, used quantitative methods for the analysis to draw a scientific conclusion. In addition, it proposed urban planning policies to foster both the creative industry and the creative class in Busan, based on the conclusion. □ Definitions of the Creative Industry and the Creative Class The creative industry and the creative class with which the research was concerned were defined by analyzing previous research, both domestic and overseas. The definition of the creative industry first derived from the subclass criteria of the Korea Standard Industrial Classification, considering the availability of relevant statistical data. Additionally, this study reflected the creative industry that had been defined more than three times in previous research. Workers in such creative industry were defined as the creative class. In accordance with the subclassification criteria, nineteen industries in total were identified as the creative industry. When an analysis method happened to be unable to account for the industries under the subclasses, it factored in relevant, more generic industries in the three main classification criteria to which the nineteen industries belong. □ Analysis Results The analysis of this study is focused on three aspects: (1) spatial clustering characteristics of the creative industry and the creative class in the neighborhoods (dong) of Busan through spatial autocorrelation analysis, (2) competitiveness of the creative industry and the creative class in Busan by calculating the RRCA index and the LQ, and (3) urban planning features’ influences on the creative industry and the creative class by employing the panel model. First, the spatial autocorrelation analysis employed the creative industry and the creative class that were identified under the main classification criteria. When it comes to publication, visual entertainment, info-communications, and info-services, it was shown that the numbers of both business entities and workers had stronger clusters in the eastern part of Busan, where Centum City had great influences, than in the rest, As to professional, scientific, and technical services, the number of their business entities were clustered around Geumjeong-gu along Jungang-daero, one of the main arterial roads in the city, while the number of their workers were clustered around Haeundae-gu. In regards to arts, sports, and leisure services, the number of their business entities had a stronger cluster in the northern part of Busan than in the rest, whereas the number of their workers did not particularly demonstrate a cluster. Second, competitiveness of the creative industry and the creative class was analyzed by calculating the RRCA index and the LQ. The creative industry and the creative class under the main classification criteria were employed to calculate the RRCA index, while those under the subclassification criteria were used for the LQ. The result of the RRCA index analysis showed that arts, sports, leisure services and professional, scientific, and technical services appeared to have comparative advantages at the national level, and each district (gu and gun) appeared to have different industries with comparative advantages at the city level. As a result of analyzing the LQ, radio broadcasting appeared to be specialized in terms of the number of business entities and photographing services appeared to be specialized in terms of the number of workers at the national level, while each district appeared to have different specialized industries at the city level. Third, for the panel model analysis, the numbers of both business entities and workers in the nineteen creative industries were selected as dependent variables, and some characteristics expected to have influences on the dependent variable as independent variables, including regional characteristics, architectural characteristics, urban planning facility characteristics, and zoning characteristics. To establishing the panel data, statistical data about the selected variables from 2007 to 2013 were collected. As a result of the analysis, it was shown that the panel model was more appropriate than the OLS regression model with respect to the numbers of business entities and workers in every creative industry. Influential variables and their effects were different in each industry. This study combined the result of the panel model analysis with that of the analysis of the LQ, finally proposing policy implementation to foster the creative industry and create related jobs.

      • KCI등재

        부산지역 매입임대주택의 입지 및 주택 내·외부 특성에 따른 주거평가 분석

        최열,박성호,하규양,Choi, Yeol,Park, Sung Ho,Ha, Kyu-Yang 대한토목학회 2014 대한토목학회논문집 Vol.34 No.4

        본 연구는 매입임대주택 거주민의 주거환경 평가를 통해 매입임대주택 거주자의 주거환경 만족도 결정요인을 실증적으로 분석하였다. 매입임대 주택은 현재 거주하는 지역사회에 지속적으로 생활이 가능하여 저소득층의 사회적 격리 현상과 슬럼화 방지 등의 사회적 배제현상이 적은 장점을 가지고 있다. 그러나 주택의 매입기준이 주거환경을 충분히 고려하지 못하는 문제점이 제기되고 있어 매입임대주택 주거환경에 대한 전반적인 평가가 필요하다. 우선, 매입임대주택 거주자의 주거환경 평가를 위해 주거환경 특성, 주거비 특성, 가구주 특성 등으로 구성하여 살펴보았으며 이를 바탕으로 매입임대주택 주거환경 만족도 결정요인을 주택입지 특성, 주택 내 외부 특성 등으로 각각 나누어 살펴보았다. 주거입지에 따른 주거만족도에 영향을 미치는 변수는 공공시설, 교육시설, 복지시설 등으로 나타났다. 특히, 복지시설 접근성의 만족도가 높을수록 매입임대 주택의 주택입지 만족도가 높아지는 것으로 분석되었다. 주택 내 외부 특성에 따른 주거만족도에 영향을 미치는 변수는 창호상태, 균열, 난방설비, 주택규모 그리고 주택관리 등에서 유의한 것으로 나타났다. This study aims to analysis of determinants of the residents satisfaction of purchased rental housing and currently being implemented policy of supporting low-income families are empirically evaluated through the residential evaluation of purchased rental housing residents. Purchased rental housing users are possible to live in currently residing community consistently, have advantages for fewer problems of the phenomenon of social isolation, exclusion and preventing slumism of low-income families, are expected to increase in the future. First of all, the characteristics of residential environment, housing expenses and a head of household were examined for the residential environment evaluation of the residents of purchased rental housing, on the basis of this, the characteristics of internal and external house and residential location are examined each for the determinants of the residential environment satisfaction of purchased rental housing. The variables that affect residential satisfaction according to residential location are public facilities, educational facilities and welfare facilities respectively. In particular, the higher the satisfaction of access to welfare facilities, the higher the satisfaction of residential location of purchased rental housing was analyzed. The variables affecting the residential satisfaction according to the internal and external characteristics of house are significant in window status, cracking, heating facilities, housing scale and management.

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