• Title/Summary/Keyword: housing instability

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The Effects of Housing Poverty on the Depression of the Elderly: The Mediating Effect of Social Service (노년기 주거빈곤이 우울에 미치는 영향: 사회서비스의 매개효과)

  • Kim, Dong bae;Yoo, Byung Sun;Shin, Soo Min
    • 한국노년학
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    • v.32 no.4
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    • pp.1041-1061
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    • 2012
  • The study looked into the effect of housing poverty on the depression level for the elderly in depth. In this study, we defined housing poverty as sub-minimum standard housing conditions, excess housing expenditure and housing instability. In order to verify the correlation of two variables, a mediating model structured by social welfare service was used which gave out the 4th Korea welfare panel data. When it came to our research methods, structured equation analysis was applied to verify the mediating effect and theoretical background. The results revealed that housing poverty of the elderly directly affected their depression level. Also the satisfaction of social service showed a partial mediating effect between housing poverty and depression level. But the mediating effect of social service experience between housing poverty and depression level was not statistically significant. The outcome of this study indicated the practical and social intervention to promote a mental health of the elderly by improving residential environment.

Elderly response to alteration of existing house function in housing improvement area (주거지 재생지역의 기존주택 기능전환에 대한 노인의 반응연구)

  • Lim, Soo-Hyun;Lee, Yeun-Sook
    • KIEAE Journal
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    • v.10 no.2
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    • pp.9-18
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    • 2010
  • As an aging population has increased vastly and nuclear families have been a dominating family type in modern Korean society, the numbers of the elderly who suffer Empty Nest Syndrome and LID (Loss Isolation Depression) syndrome have been accelerated. These syndromes involve psychological instability, melancholy, and lethargy. To make the elderly get out of this phenomenon and live actively, the scheme of converting their existing house into shared housing was set as a hypothetical solution in this study. This study sets out to find out responses of the elderly to alter their own house's function in housing improvement area. A Small Workshop Panel method was used and the elderly aged 55 years upwards took part and they own a detached house in a housing improvement area that is relatively large for the elderly or the elderly couple to live alone. Through the workshop, problems that the elderly have been experiencing within their houses were looked into and responses of the elderly on altering their house to shared housing by introducing developed schematic plans. Although, the first response was negative, positive responses from the house owners were carried out when a visual support i.e. developed shared housing plan was provided. The positive response was based on the fact that subsidies from the government on house renovation and tenants matching programs are supported as shared housing could provide home owners economical support with rents and help them to feel less lonely. This is a way of relieving the elderly from being neglected and supporting them to live and age actively in their later lives. Furthermore, by providing a visual media to the elder residents in housing improvement area, their greater understandings on the development and addressing their opinions were possible. Therefore, more tools that promote elder residents' participation are needed for future housing improvement projects and an aging society.

A Study on the Project Delivery System Improvement for Construction Efficiency of the Unit Modular Housing (유닛모듈러주택의 시공효율화를 위한 수행체계 개선방향 연구)

  • Park, Nam-Cheon;Kim, Kyoon-Tai;Park, Su-Yeul;Chae, Myung-Jin
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2013.05a
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    • pp.265-267
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    • 2013
  • Recently, It is being reduction to market of the domestic construction industry for the instability of the domestic market structure. So it is necessary to plan response measures for to ensure the competitiveness of the construction market of overseas. The purpose of the study is suggest of improvement of the project delivery system for the efficiency of the construction of the unit modular housing of considering the reducing cost and technological competitiveness of the domestic construction industry.

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The Effects of Housing Poverty on Family life (주거빈곤이 가족생활에 미치는 영향)

  • Lim, Jae-hyun
    • Korean Journal of Social Welfare Studies
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    • v.42 no.1
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    • pp.279-304
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    • 2011
  • The housing is basic need to human life, foundation of family life and structural characteristics to control human life and action. The structural characteristics of housing have various effects on the family life such as family lifestyle, relationship of family members and child development and health by family structure. The purpose of the study is to identify how the housing poverty, defined as sub-minimum standard housing conditions, excess housing expenditure and housing instability, affects the family responsibility burden, the family relationship satisfaction and the family life satisfaction. This study used the third Korean Welfare Panel Study, the analytic method used was the Structural Equation Modeling(SEM), and the model fit had a considerable validity by inspecting the SEM. The findings of the study are as follows. Housing poverty had significant positive effect on family responsibility burden, while had significant negative effects on family conflict action method, family relationship satisfaction, family life satisfaction and health(subjective, mental, physical). The indirect effects on housing poverty had better effect by family conflict action method than effect by health, but the direct effects had the most.

Revitalization of Urban Regeneration through the Happiness Housing Project as Public Housing Policy

  • Kim, Ok-Yeon;Lee, Jae-Pyeong
    • Land and Housing Review
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    • v.5 no.3
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    • pp.151-167
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    • 2014
  • Urban space structure in South Korea when through drastic changes ever since public housing policies began their full-fledge implementation. That is, public housing policies represent the main cause for formation of the current urban space structure, as the public houses are constructed in accordance with changes of demographic/social structure, considering changes of housing demand, in urban spaces demanded by the end users. After rapid industrialization and urbanization in the 1960's, each government in different periods have implemented housing supply policies through massive urban developments, to resolve the issue of housing shortage and residential instability. Phase 1 New Towns were developed in the 1980's resulting in suburbanization of the Seoul Area, followed by urban sprawl due to construction of small-size New Towns after deregulation in the 1990's, and construction of Phase 2 New Towns for resolution of housing shortage in the early 2000's and the resulting urban problems. In the mid-2000's, construction of Bogeumjari houses in GB areas led to insufficient housing supply in downtown areas, and the period after 2010 witnessed continuous deterioration of existing urban areas and acceleration of the rental housing crisis caused by rental housing shortage in downtown areas. Moreover, the residentially vulnerable classes consisting of young, 1~2-member households is expanding, with the real estate market in recess. Therefore, the government is trying to achieve urban regeneration through public housing policies so as to resolve the urban space problem and the housing problem at the same time, and the Happiness Housing Project has been implemented as a policy to achieve that goal. The Happiness Housing Project for young, residentially vulnerable classes in downtown areas, is going through diversification aimed at conjunction with urban regeneration projects in downtown areas, as exemplified by conversion of rental houses in residential environment improvement project districts and redevelopment/reconstruction project districts into happiness housing, and supply of happiness housing in conjunction with small reorganization projects for deteriorated residential areas in such areas as those excluded from New Town designation. Continuous supply of Happiness Housing in conjunction with urban regeneration requires mixed-use residential development which includes convenience facilities and public facilities, along with improvement of rental conditions (rental period/rent) and diversification of project methods, considering that the project is implemented in downtown areas.

The Relationship between Income Instability and Psychological Condition of Real Estate Price Changes and Willingness to Adjust Real Estate Holding Ratio (소득의 불안정성과 부동산가격변동에 대한 태도 및 부동산보유비중 조정의향 간의 관련성)

  • Lee, Chan-Ho
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.199-205
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    • 2020
  • As many government policies have been announced today regarding real estate, especially housing, interest in prices in the housing market has increased significantly. In this study, I would like to present the direction of government policies by analyzing the relationship among income instability, the psychological condition of real estate price changes and willingness to adjust real estate holding ratio. First, major variables were extracted through the prior study review, and using a survey, data were collected and path analysis was conducted. According to the analysis, the current income instability had a negative impact on the psychological condition of real estate price changes, and a positive influence on the willingness to adjust real estate holding ratio, but the psychological condition of real estate price changes did not have a statistically significant impact on the willingness to adjust real estate holding ratio. Thus, the difference analysis was conducted between groups by dividing the ages and the number of dependents respectively. According to the analysis, the impact of income instability and psychological condition of real estate price changes on willingness to adjust real estate holding ratio differed between groups divided by ages and number of dependents. The results of this analysis will help the government to establish real estate policies and help each household to use the analysis as basic data when they make a decision about real estate. On the other hand, this study has limitations that have only been conducted cross-sectional analysis and analyzing time series changes and differences in perception between regions are going to be conducted in a future study.

A Effect Analysis of the Housing Policy on the Housing Price (주택 ${\cdot}$ 부동산정책이 주택가격에 미치는 영향분석)

  • Noh, Jin-Ho;Han, Suk-Hee;Kim, Bong-Sik;Ko, Hyun;Kwon, Yong-Ho;Kim, Jae-Jun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.665-668
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    • 2006
  • After foreign exchange trouble, Korean government became effective an economy-invigorating policy that to raise the housing demand and transaction. In result, the rate economic growth kept up a high growth rate and the market recovered. But an economy-invigorating policy of continuance caused an excessive boom of housing market in the second half of 2001. Therefore Korean government enforced a speculation-restraint policy. But it caused a instability of economics. This study is to analyze the effect between the housing policy and the housing cost and is to apply the basis data of the next housing policy.

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Instability of Cut Slopes due to Rainfall (강우로 인한 절취사면의 불안정)

  • 김상규
    • Proceedings of the Korean Geotechical Society Conference
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    • 1994.06c
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    • pp.25-48
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    • 1994
  • As Korea is a mountaneous country, many cut slopes are formed along the highways and in housing projects, by cutting through the layers which are composed of shallow soil depth and the underlying hard layers with different degrees of weathering. Such slopes are often foiled by heavy rainfall, and thus its effects on the slope instability are described in detail in. this paper. The importance of discontinuties on the slope stability as well as the effects of rainfall is emphasized for high quality design of cut slopes.

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Prediction Model of Real Estate Transaction Price with the LSTM Model based on AI and Bigdata

  • Lee, Jeong-hyun;Kim, Hoo-bin;Shim, Gyo-eon
    • 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.

Comparison of Infiltration Rate of Slope in Model Test and Finite Element Analysis (모형시험과 유한요소해석에서 비탈면 강우의 침투량 비교)

  • Yu, Yong-Jae;Kim, Jae-Hong
    • Land and Housing Review
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    • v.9 no.2
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    • pp.51-57
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    • 2018
  • The causes of landslides are dependant on rainfall events and the soil characteristics of a slope. For the conventional slope stability, the slope stability analysis has been carried out assuming the saturated soil theory. But, in order to clearly explain a proper soil slope condition by rainfall, the research should be performed using the unsaturated soil mechanism suitable for a soil slope in the field. In the study, by using two major categories of soils in Korea, such as granite and gneiss weathered soils, landslide model test and finite element method have been compared with the difference of seepage and soil stability analysis. The hydraulic conductivity of gneiss weathered soil is slower than that of granite weathered soil, and the gneiss weathered soil contains much finer soils than the granite weathered soil. It was confirmed that the instability of the slope was progressing slowly due to the slow rate of volumetric water content of the surface layer.