• Journal of the Korean housing association
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• v.26 no.5
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• pp.27-35
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• 2015

This study aims to analyze the housing satisfaction of 55 years and older (55+) single-person householders in U.S. urban communities with the 2011 American Housing Survey Data. Single-person householders younger than 55 years of age (55-) were used as a reference group. Housing Adjustment Theory was used to develop a research framework to depict the relationships of housing satisfaction (dependent variable) with demographic and housing variables (independent variables). The regression analysis revealed that age, health status, government income, race, gender, age of house, housing quality, neighborhood, structure type, and tenure status had a significant effect on housing satisfaction levels of both those aged 55- and 55+. However, for the cohort of 55+, education, census region, housing affordability, and structure size also affected their housing satisfaction. Neighborhood satisfaction had the strongest effect on housing satisfaction of both groups. These variables were discussed in terms of resources and constraints contributing to their housing satisfaction. This study highlights the present and future housing trends and challenges of U.S. single householders in U.S. urban communities.

• Journal of the Korean housing association
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• v.25 no.3
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• pp.123-130
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• 2014

The decrease in the birth rate of the modern changes in population structure changed recovery households and household members. This change was seen in the furniture sector, 2010 population housing total survey data according to the types of households and household members indicate that future changes. Problems can predict the various issues raised, and to ensure that the supply of housing of the population structure and household type is not done properly and home sales take a look at home since 2000, was popular during the 2010 State. Therefore, this study is suggesting workarounds necessary adjustments due to changes in population structure, analyze news coverage of members of households with housing demand and housing as a base quantity change in the future of furniture and home situation changes, including housing demand and supply to purpose. Specify the range of Daegu-City research studies range, national statistical data and related literature, comparative analysis of time trends and derive a conclusion.

• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.51-60
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• 2024

Purpose: The purpose of this study was to analyze the factors influencing the housing satisfaction of the new middle-aged who returned to farming to derive the implications of real estate policies to resolve regional imbalances. Research design, data and methodology: As a result, this study used secondary data, housing survey data, and identified factors influencing housing satisfaction through multiple regression analysis as well as basic analysis such as exploratory factor analysis, reliability analysis, technical statistics analysis, and correlation analysis. Previous studies, in particular, mainly focused on aging, retirement, economic activity, and retirement preparation, but this study was able to derive predictive factors that can increase the persistence of living after returning to farming by analyzing housing satisfaction for the new middle-aged, and as a result, suggest implications for resolving regional imbalances. Results: As a result of the analysis, it was found that housing structure status had the greatest influence among the three factors of housing-related predictors: housing structure status, facility accessibility, and surrounding environment, suggesting that policy alternatives that can improve the quality of the housing structure itself should be prepared rather than facility accessibility and the surrounding environment. Conclusions: Based on these results, we discussed implications for improving the housing structure to increase the continuity of living for the new middle-aged after returning to farming, and presented follow-up research directions on the need for complementary research in addition to individual analysis of influencing factors, limitations of secondary data, and the lighting of research on the new middle-aged and other generations who did not return to farming.

• Journal of the Korean housing association
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• v.15 no.5
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• pp.43-50
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• 2004

As residential buildings becomes high rise buildings, the new cladding system was needed for structure system, and unpredictable problems were found in it. The aim of this study is to analysis the present state and find improvement of indoor environment in high rise residential building, which used curtain wall system. Then, suggest to create comfortable indoor environment for high rise residential buildings in the process of design.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.660-675
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• 2012

This paper aims at, analyzing the characteristics of immigration path, residential status and residential location preference of Korean immigrants in Washington State of United State. The main results of this study are as follows. Firstly, according to the questionnaire survey results, respondents tend to prefer own housing as their incomes are higher. Secondly, Location factors which respondents most prefer are safety, natural environment and school district. Thirdly, household income influences the housing ownership rate of respondents, according to the result of binomial logistic regression analysis on the impact of individual characteristics of the respondents on the housing ownership structure. Finally, according to the results of logistic regression analysis on the impact of individual characteristics and housing ownership structure of the respondents on the residential location preferences, (1) respondents who own housings more prefer school district as residential location factor, (2) respondents their age are over 40 years old prefer safety/amenity as residential location factor, (3) respondents their immigration period are more than 10 years prefer safety/amenity as residential location factor, (4) respondents their initial immigration region are not Washington state prefer safety/amenity as residential location factor.

• Journal of the Korean housing association
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• v.25 no.3
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• pp.25-34
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• 2014

The major purposes of this study were to analyze main features of US Green Building Council's LEED for Homes rating system and examine residents' satisfaction on their LEED-certified homes and neighborhoods. The first part of this article shows the structure and features of the LEED for Homes rating system and the process to obtain credits of this rating system. The investigation to assess residents' satisfaction targeted LEED certified home residents in Midwest in the United State. The satisfaction was assessed in relation to socio-demographic and housing characteristics. To collect data, a quantitative survey was administered to the residents of LEED-certified homes in Midwest in the US. A total of 605 surveys was sent out and 235 were collected, yielding a 38.8% response rate. Findings revealed that LEED-certified home residents were highly satisfied with their homes and neighborhood although neighborhood satisfaction was lower than housing satisfaction. Residents' income and education were the significant socio-demographic factors that show significant relationships with housing satisfaction. Residents' home ownership, length of residence, housing types were significant housing characteristics on their satisfaction while the levels of LEED certifications (i.e., certified, silver, gold, and platinum) were not significantly related to housing satisfaction. The findings of this study suggest the importance of developing effective strategies for those who are less educated, lower income classes, renters, or multi-attached housing residents for more successful development of LEED-certified homes in the future.

• KIEAE Journal
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• v.14 no.6
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• pp.23-29
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• 2014

It is essential to investigate the structure and the main characteristics of BSN (Bio-Sensor Network) platform in built smart healthcare environment while designing healthy housing facilities. For this study, WSN (Wireless Sensor Network) data transmission technologies have been employed with medical sensors, and optimal medical devices would provide various Web 2.0 services by connecting to the WiBro network. The BSN platform normally recognizes in surroundings of WBAN (Wireless Body Area Network) or WPAN (Wireless Personal Area Network), and it is possible to manage sensor nodes by utilizing SOAP (Simple Object Access Protocol) and REST (REpresentational State Transfer). In addition, the feature of SNMP (Simple Network Management Protocol) for mobile gateway is also included for being adapted to huge network structure. Finally, BSN platform will play a role as important clues for developing personal WSN service models for smart healthy housing properties.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• Journal of the Korean housing association
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• v.15 no.2
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• pp.87-96
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• 2004

In this study, we analyzed the state of outdoor-space use and green-environment development for apartment residents, and investigated their ways of thinking on nature orientation and green environment. The results are as follows. 1) The ways of thinking and actual use of outdoor space by apartment residents appear different. 2) Due to the difference of apartment locations and complex environments, the state and reason of green environment construction are different between the residents of high-rise and low-storied apartments. 3) The residents of the low-storied apartments are more satisfied with the green environments of the complex than those of the high-rise apartments. In addition, constructing the green environment in a balcony and outdoor space enhances the satisfaction level of the apartment residents. 4) The residents of the low-storied apartments are passive in nature orientation, while those of the high-rise apartments are active. 5) Depending on the types of nature orientation, the apartment residents are grouped as 'people of nature experience', 'nature appreciators', or 'people of living-thing contact'. These groups show different patterns on the ways of thinking for outdoor space and green environment.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.2
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• pp.275-292
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• 2013

This paper aims at analyzing the use REITs for improving housing welfare, especially focusing on affordable housing. To do this, firstly, current state and main problems of domestic housing welfare are analyzed, secondly, housing welfare system involving capital market and case study of affordable housing REITs in United State are examined. and thirdly, utilization schemes of REITs for improving affordable housing are analyzed. In the process of executing housing welfare, various systemic bases for attracting capital market are constructed. Under these systemic basis, affordable housing REITs such as Community Development Trust are operated. This scheme also can be applied in Korea. In the context, the structures of using management on commition REITs and the structure of using real estate fund are proposed.