• Land and Housing Review
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• v.2 no.3
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• pp.239-247
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• 2011

Such factors as living space, living environments, etc. are considered to have influence on housing satisfaction. Recently, increased residents' participation and residents' conflict in apartment management emerge as the important factors to influence it. They are more important in a social-mix housing complex of sales apartment and rental apartment, which is provided as a part of social mix. Therefore, a study hypothesis is established with a study model based on the precedent studies. The results from investigation the hypothesis are; First, the factor of living environment has meaningful influence on the factors of residents' participation and conflict. Second, residents' participation and conflict significantly affect housing satisfaction. Third, the factor of residents' participation shows a full mediated effect, and the factor of residents' conflict, a partial mediated effect. This study has a meaning as an exploratory one to identify a variable of residents' participation and conflict in social-mix apartment complex, and to verify their influence on houisng satisfaction empirically.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.707-715
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• 2023

This study utilized CART algorithm, a decision tree analysis method, to comparatively analyze factors affecting housing and residential environment satisfaction by region using data from Ministry of Land, Infrastructure and Transport's housing survey in 2020. First, in terms of residential environment satisfaction, accessibility to medical facilities and school district showed higher importance in metropolitan cities and areas compared to other regions, whereas safety from accident showed the opposite trait, showing difference between region. Second, housing characteristics were important in housing satisfaction, indoor environment level satisfaction and indoor safety and hygiene being important in almost all regions, while residential environment characteristics were more important in residential environment satisfaction and influencing factors were relatively evenly distributed. In order to generalize these regional characteristics, research using time series data needs to be conducted later.

• Land and Housing Review
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• v.15 no.1
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• pp.39-55
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• 2024

The aim of this study is to analyse housing satisfaction among residents of different types of public rental housing-permanent, national, and happy housing-following the integration of housing types upon the full-scale supply of integrated public rental housing. By identifying key factors that influence residential satisfaction, our goal is to inform the planning of public rental housing complexes and derive policy implications. The study focuses on analysing discrepancies in residential satisfaction among residents of different types of public rental housing and comparing the factors influencing this satisfaction. Microdata from the Ministry of Land, Infrastructure, and Transport's 'Housing Situation Survey' in 2021 is utilized for analysis, employing one-way ANOVA and binomial logistic regression methods. Empirical analysis reveals variations in residential satisfaction levels between residents of permanent and national rental housing, with national rental housing residents exhibiting higher satisfaction. The influencing factors of overall condition satisfaction are consistent for permanent and national rental residents but differ for happy housing residents. Additionally, the influencing factors of overall residential environmental satisfaction vary across all three housing types. Nonetheless, common factors across all types include housing noise and facility accessibility, highlighting their significance in complex planning. Subsequent studies may involve time series analysis to assess changes in influencing factors over time.

• Journal of the Korean Institute of Landscape Architecture
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• v.19 no.1
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• pp.45-59
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• 1991

본 연구에서는 객관적 환경지표와 그에 대한 인간의 주관적 반응간 의 인과적 관련도의 중요성이 강조된다. 좀 더 구체적으로, 거주자의 주관 적 반응인 주거만족과 객관적 환경지표의 하나인 주거환경유형들(건물유형 과 건물배치유형)과의 인과적 관련도가 본 연구에서 중점적으로 토의된다. 한국의 6개 대단위 공동주택단지가 본 연구의 대상지로 선정되었고, 표본 추출시 건물유형과 건물배치유형을 고려한 다단계 표집방법(multistage sampling)이 사용되었다. 설문면답방법(modified structured survey)에 의해 646명의 처리 가능한 응답이 수거되었다. 인과모형 검증의 첫 단계로서 다 수의 설문문항을 원래 관심있는 소수의 변수로 정선, 추출하기 위한 방법 으로 요인분석이 사용되었다. 요인분석으로부터 정선, 추출된 변수를 이용 해서 본 연구의 가설모형이 정립되고, 그 모형을 검증하기 위한 방법으로 경로분석이 사용되었다. 분석결과를 요약해 볼 때, 건물유형과 건물배치유 형 모두가 거주자의 지각, 인식, 태도 등의 적절한 매개변수들을 통해 거주 자의 주거만족에 유의한 영향을 미치는 것으로 나타났다. 건물유형은 일반 적으로 저층주거에서 고충주거로 바뀌면서, 거주자의 주거만족에 부정적인 영향을 미치고 있음이 확인되었고, 고층주거가 거주자에게 주는 시각적 단 조로움, 과밀감, 그리고 주차장을 포함한 옥외공간 이용상의 불편들과 또 그들로 인한 낮은 안전성 및 경관에 대한 불만족 등이 그 이유로서 밝혀졌 다. 건물배치유형의 경우, U자형의 배치유형이 선형배치유형에 비해 과밀 감 해소, 시각적 명료성 향상, 그리고 옥외공간 이용상의 편리 등 및 또 그 에 따른 경관에 대한 만족의 향상 때문에 거주자의 주거만족을 높이는 데 유리한 것으로 나타났다. 주거와 관련된 설계 및 계획분야를 위한 여러 다 양한 제안들이 본 연구에서 제시되고, 추후 관련 연구들을 위한 가능성들 도 토의되었다. 그 유용성 때문에, 아직 많은 이론적, 방법론적, 그리고 분 석상의 문제에도 불구하고, 객관적 환경지표들과 이용자들의 만족을 포함 한 다양한 주관적 변수들과의 관계를 경험적으로 밝히려는 시도가 계속되 어야 할 것으로 사료된다.

• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.47-61
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• 2023

Satisfaction on the residential environment is a major factor influencing the choice of residence and migration, and is directly related to the quality of life in the city. As online services of real estate increases, people's evaluation on the residential environment can be easily checked and it is possible to analyze their satisfaction and its determining factors based on their evaluation. This means that a larger amount of evaluation can be used more efficiently than previously used methods such as surveys. This study analyzed the residential environment reviews of about 30,000 apartment residents collected from 'Zigbang', an online real estate service in Seoul. The apartment review of Zigbang consists of an evaluation grade on a 5-point scale and the evaluation content directly described by the dweller. At first, this study labeled apartment reviews as positive and negative based on the scores of recommended reviews that include comprehensive evaluation about apartment. Next, to classify them automatically, developed a model by using Bidirectional Encoder Representations from Transformers(BERT), a deep learning-based natural language processing model. After that, by using SHapley Additive exPlanation(SHAP), extract word tokens that play an important role in the classification of reviews, to derive determining factors of the evaluation of the residential environment. Furthermore, by analyzing related keywords using Word2Vec, priority considerations for improving satisfaction on the residential environment were suggested. This study is meaningful that suggested a model that automatically classifies satisfaction on the residential environment into positive and negative by using apartment review big data and deep learning, which are qualitative evaluation data of residents, so that it's determining factors were derived. The result of analysis can be used as elementary data for improving the satisfaction on the residential environment, and can be used in the future evaluation of the residential environment near the apartment complex, and the design and evaluation of new complexes and infrastructure.

• Land and Housing Review
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• v.4 no.1
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• pp.65-75
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• 2013

The residential environment of old and deteriorated public rental housing has been improved for preventing house deterioration through the facility improvement projects during the recent three years. The purpose of this study is to check the effect of applied facility improvement projects through a survey to residents on the significance degree of improving the residential environment and the satisfaction degree of current residential environment. Moreover, this study aims to draw out the direction of the residential environment improvement. At first, for this purpose, a survey to the residents of old and deteriorated public rental housing in the country was conducted. In addition, the mean value analysis on the satisfaction degree and significance degree was done, and the factor analysis was conducted for the distinction between types of items. As a result, 29 items of residential public space for residential environment improvement were divided into six factors and 28 items for generation of each units were divided into four factors. The mean value of the satisfaction degree and significance degree was compared. In conclusion, the design direction of environment improvement projects in the future was suggested with the result of the survey.

• Journal of Families and Better Life
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• v.12 no.1
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• pp.117-131
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• 1994

본 연구는 근린환경에 대한 거주자의 인지도를 파악하고, 현재 거주하고있는 지역의 근린환경에 대한 만족도를 조사하여 앞으로의 주거이동 성향이 어떻게 나타날 것인가를 예측해보는데 그 목적이 있다. 측정도구의 신뢰도계수($Cronbach's\;\alpha$)는 0.865이며, 분석방법은 빈도, 평균, $x^2$ 검증, t-검증, 일원변령분석 요인분석, 피어슨의 상관계수, 중다회귀분석, 다변량판별분석을 사용하였다. 연구결과는 첫째 '입지성' 속성에 대해 거주자의 인지와 만족이 가장 긍정적이었고 '쾌적성 및 정체감' 에 대해 가정 부정적이었다. 둘째 근린환경 인지도가 높을수록 부인의 교육수준이 높을수록 주거소유권이 자가이고 상가주변지역에 살고 있는 거주자들의 근린환경에 대한 총 만족도가 높게 나타났다. 셋째 거주기간 총 만족도, 주거용도 지역, 주택규모, 소득수준이 주거이동 성향을 판별하는 변인으로 나타났다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.39-53
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• 2017

The purpose of this study was to investigate the effects of the rural migration factors, degree of preparation for migration, lifestyle conditions and support policies reflected against the family satisfaction of the migration. In this study family factors were used as control variables. Independent variables for this study will consist of the factors of rural migration, the degree of preparation for migration, living conditions of the farmers and the support policies, where as the dependent variable is the satisfaction of migration with an adjusting factor of the family satisfaction which will be further analysed to identify its effects on the dependent variable. For this study, a questionnaire survey was conducted for the residents and 237 valid questionnaires were collected. Multiple regression analysis was performed based on the collected data where demographic attributes being the controlling variable, and regression analysis was performed for the adjusting variable of the family. As the economic factor increases, the level of satisfaction generated to be higher in rural migration. As for the degree of preparation, living condition and support policies resulted, great quantity of green nature, safety and agriculture startup support, respectively, indicated a positive effect to the satisfaction level of migration. From the results, adjustment effect of the family factors on the economic, nature, convenience and satisfaction of the migration have appeared. The conclusion of this study is that policy support, regional stability, and economic gain are the most important factors to increase satisfaction and to reduce re-migration rate to city.

• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.5
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• pp.38-45
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• 2013

Buffer green space in the residential area is a mechanism for improving the residential environment and also significant for residential life satisfaction and its various social roles. Accordingly, this study aimed to discover the effect of the buffer green space, which was established to minimize environmental influences of the residential environment, on residential life satisfaction. For this purpose, a survey was conducted on residents in Myeongji Residential Area where the buffer green space was installed, to examine the factors of the buffer green space and to analyze its causal relation with residential life satisfaction. The SPSS(statistical package for social science) 21 program was used for analysis and factorial analysis, correlation analysis and multiple regression analysis were executed. As a result, the roles of the buffer green space in Myeong-ji Residential Area included residential comfort, disaster protection, green space usability and environmental ecological property. In the overall accrued factorial contribution rate, residential comfort was very high with 40.54% out of total 62.48%. In addition, the residential comfort and green area usability had a higher correlation with residential life satisfaction. However, the significant level of disaster protection and environmental ecological property were 0.725 and 0.898, respectively, which were not significant as a preference factor in multiple regression analysis. Accordingly, the buffer green space for improving residential comfort and green space usability was confirmed to enhance residential life satisfaction.

• 한국노년학
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• v.41 no.3
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• pp.373-396
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• 2021

This study aims to examine the effect of housing characteristics of older adults on the willingness to continue living in local communities in order to realize the Aging in place of the elderly in Korea. Considering that the health status of the elderly is important for aging in place, both healthy and unhealthy cases were analyzed in the analyses. Housing characteristics include home ownership, housing cost burden, housing convenience, housing satisfaction, and residential environment satisfaction. The study sample is 9,798 elderly people from the 2017 survey on the elderly. Key findings are as follows: First, while 6,704 older adults (68.4%) chose to continue living in the community, 3,094 (31.6%) of the elderly did not choose to live in the local community. Second, the elderly who chose to stay in the local community are likely to have more real estate assets and less burden of housing expenses than the elderly group who did not. Third, the results report that older adults with more real estate assets and lower the housing cost burden are likely to choose sustainable living in the local community. The findings suggest that the majority of the elderly actually preferred Aging in place. This study concludes with practice and policy implications for realizing aging in place considering the elderly's needs.