• Journal of the Korean housing association
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• v.26 no.6
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• pp.9-16
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• 2015

The Japanese economy has been unstable since 1990. Economic instability and changes in working conditions have made the acquisition of housing and the improvement in housing standards difficult. Unstable working and habitation conditions have also spread, and the Nagoya Metropolitan Area is recognized as a traction community in the Japanese economy. This study employed existing statistics and helpline consultations in 2013 to clarify the state of housing poverty in the Nagoya Metropolitan Area. Moreover, it clarified the conditions for improvement in the housing standards for the low-income households, a regional gap, and reasons for the deteriorating housing levels of low-income households by investigating the "Housing and Land Survey." Furthermore, it clarified housing difficulties that do not appear in existing statistics by investigating the examples of "toll-free call consultations" in 2013.

• Journal of The Korea Institute of Healthcare Architecture
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• v.29 no.4
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• pp.45-56
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• 2023

Purpose: Recently, Korea has been promoting smart cities that combine artificial intelligence(AI), big data, ICT, and the Internet of Things(IoT), and these technologies are being applied to housing services and are developing into smart housing services. This study try to analyze what is the most necessary and important the AI smart housing services for the housing disadvantaged persons through a survey of experts and the housing disadvantaged persons. And by collecting these necessary and important services, we aim to present elements and directions for the AI smart housing services policy for the housing disadvantaged persons. Methods: Firstly, we asked 11 experts, Secondly, the desire and necessity for the above smart housing service was identified through an online survey targeting the housing disadvantaged persons. Thirdly, the survey was analyzed and reliability was measured through descriptive statistical analysis using SPSS program. Fourthly, based on the results of descriptive statistics analysis, the necessity and importance of AI smart housing services from the perspective of the housing disadvantaged were derived. Results: The results of this study are that firstly, both experts and the housing disadvantaged persons viewed safety and health-related services as the most important and necessary among AI smart housing services, secondly, there is a difference in perspectives on the services that should be priority between experts and people with disabilities, and lastly there are differences in perspectives and needs for services that should be priority between the disabled and the elderly.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2010.09a
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• pp.147-148
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• 2010

낙후된 도시를 정비하는 방법으로 새로이 등장한 거점확산형 주거환경개선사업은 전면철거방식인 주택재개발사업이내 공동주택 건설방식과 비교하여 지역주민의 재정착 비율이 높고, 기존 도시 조직을 고려하며 점진적으로 개발할 수 있는 기성시가지 정비수법으로 주목받아 왔다. 또한 지역의 침체된 경제를 활성화시키고 황폐화된 구시가지를 회복시키기 위하여 정부에서는 도시의 새로운 경쟁력을 찾고 지역 주민의 삶의 질을 보장하기 위해 지역 주민의 삶의 질을 보장하기 위해 지역 커뮤니티를 근간으로 하는 도시재생사업을 추진하게 되었다. 효과적인 거점확산형 주거환경개선사업을 위해서는 주민참여가 중요하며, 현재에 이르러서는 필수적인 요건이 되었고, 도시계획 역시 주민과 함께 하는 방향으로 변화하게 되었다. 이에 따라 GIS도 주민과 같은 비전문가의 의사결정을 지원하기 위한 도구로 확대되어 활용되고 있다 하지만, 현행 주민참여 방식은 형식적인 수단에 불과하며, 주민 참여도를 높일 수 있는 획기적인 방법은 아직도 연구해야할 과제이다. 따라서 본 연구에서는 커뮤니티의 재생을 목적으로 하는 거점확산형 주거환경개선사업에서 능동적 주민참여를 좀 더 효율적으로 이끌어 내고자 사업정보제공서비스, 주민의사반영 서비스, 쌍방향적 의견교환서비스, GIS 서비스를 제공하는 커뮤니티 재생을 위한 앱 기반 PPGIS 모델을 제안하였다. 최근 스마트폰의 보급률이 급증함에 따라 스마트폰의 활용은 주민들의 관심과 참여 비율의 변화를 크게 가져올 수 있을 것으로 기대되며, 커뮤니티 재생을 위한 스마트폰의 앱 기반 PPGIS 모델은 정책결정자, 전문가 그리고 주민이 서로의 생각을 교환하고 이해하는데 또 다른 유용한 의사소통 도구가 되어 주민의 참여도를 높여 줄 것이라 기대된다 특히, 스마트폰을 많이 사용하고 있는 젊은층의 흥미를 유발하여 참여도가 낮은 젊은층의 참여도를 높이는데 기여할 것이라 여겨진다,

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.11a
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• pp.162-167
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• 2009

With the introduction of the ubiquitous technology, the housing culture centers of construction companies have demonstrated future housing image and technology. However, ubiquitous home services are technology oriented items. The purpose of this study was to identify u- services which were realized in domestic future housing and to compare those with services the residents needed greatly refer to researches related to demand for u-service. For this study, field studies were conducted with 3 domestic future housings and precedent studies on demand for u-service were analyzed according to the standard of residents' demand. The results of the study showed that residents prefer u-services for security and control of indoor environment for housework and leisure life. As a result, u-services which residents needed mainly did not correspond with those that were displayed in future housing.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.93-96
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• 2021

본 논문에서는 공공데이터를 이용한 개인 맞춤형 부동산 추천 방식을 제안한다. 이 추천 서비스는 기존의 가격 중심의 부동산 추천 방식이 아닌 개인이 원하는 요소 통해 부동산을 추천함으로써 사용자의 만족도를 높인다. 이 모델은 사용자가 실거주를 목적으로 하는 부동산 매물을 탐색하고자 할 때 거래 유형, 매물 유형, 가격 정보 뿐만 아니라 사용자가 자신의 주거지 근처에 형성되어 있길 원하는 편의 시설이나 기반시설, 치안 등의 환경 요소를 선택할 수 있도록 하고 선택된 요소들을 통합적으로 분석하여 주거지를 추천한다. 본 논문에서는 직접 구현한 서비스를 통해서 제안하는 새로운 맞춤형 부동산 추천 모델이 기존의 가격 중심의 부동산 추천 서비스보다 편의성 면에서 우수함을 보인다.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2005.11a
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• pp.79-84
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• 2005

The purpose of this study was to classify the middle aged corresponding to their Life Styles and analyze the senior housing types and services. the specific objectives of this study are as follows : First, analyze the specific of demography. Second classify the Life Style of the middle aged. Third, analyze the housing types and services that are classified. In analyzing the collected data, the frequency, factor analysis, cronbach's a, cluster analysis(K-means), X$^2$ ANOVA conducted within the SPSS 12.0. The Life Style were segmented four group : Actively outgoing group, self-confidence familial group, self-uncertainty responsible group, unsociable negative group. This study shows that the segmentation group's preference of senior housing types and services is different by the Life Style.

• Proceedings of the KHMA Conference
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• 2010.11a
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• pp.279-279
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• 2010

• The Korean Publising Journal, Monthly
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• s.225
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• pp.2-3
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• 1997

일산.분당 등 신도시를 중심으로 한 수도권의 중대형 서점들마다 서비스 경쟁이 한창이다. 책을 주문하면 직접 가정까지 배달해 주는가 하면 회원제를 운영, 마일리지제도를 도입해 점수에 따라 사은품을 주거나 회비를 면제하는 등 각종 혜택을 주기도 한다.

• Land and Housing Review
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• v.15 no.3
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• pp.1-23
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• 2024

In the face of an impending demographic cliff, this research delves into geographical disparities in socioeconomic statuses and living arrangements of young single women in rental housing and also to explore influential factors of their residential assessment and housing expenditure. From the Korean Housing Survey of 2020, the cross-sectional study identified 847 unmarried female single-person householders aged between 20 and 39 in four districts - Seoul and Gyeonggi-Incheon Area (GIA) of Seoul Metropolitan Area (SMA), and metropolises and non-metropolises of non-SMA. The empirical analyses revealed that regardless of regions, most of the respondents were college-educated, salaried employees in late 20s living in a studio flat, seldom bore debt and barely relied on social services. Renters in SMA, employment rate, income and living expenses were higher than those in non-SMA and they resided in small, old but adequate housing with a separate bedroom. In particular, Seoulites suffered from housing cost overburden but most singles in GIA benefited from the lowest housing burden. While the main determinant of residential assessment was livability, housing satisfaction was additionally affected by old housing and the satisfaction with residential environment was also explained by urban amenities. Despite geographical variations, housing expenditure was primarily driven by income and employment.

• 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.