The aim of this research is to develop the sentiment indicators of housing welfare for evaluating housing welfare policies conducted by the Korean government. The methods of this research are used by analysis of related documents, FGI (Focus Group Interview), and survey. The survey was made by experts and consumers. To analyze the survey, this research also uses confirmatory factor analysis by SPSS (Statistical Package for the Social Science) program, AHP (Analytical Hierarchy Process) by Expert Choice program, frequency, average, percentages, Factor analysis etc. As a result of this research, selected housing welfare indicators are settled as follows: In the housing welfare aspect, 11 indicators in the department of 'Housing Satisfaction' and 11 indicators in the department of 'Community Satisfaction' (22 in total) are suggested. The indicators are 1) Water Supply and Distribution Equipment 2) Heating equipment 3) the size of the exclusive residential area 4) the number of rooms 5) Ventilation and Lighting 6) Sound Insulation (Indoor Noise) 7) Air Pollution/Odor 8) House Deposit 9) Rent Paid 10) Maintenance (Dwelling) Cost 11) The length of Occupation 12) Proximity to Welfare Facilities 13) Educational Environment 14) Convenience of Facilities (shops, hospitals etc.) 15) Convenience of Transportation and Commuting 16) Distance from Workplace 17) Landscape and Green Space (Tree, Flowers, Grass etc.) 18) Vandalism (Destruction Behavior, graffiti etc.) 19) Privacy 20) Noise in Public Places (Drinking, Loudly Talking etc.) 21) Safety from Crime 22) Safety from a Disaster. As of 2007, the housing welfare sentiment index is measured by the survey of 1,000 inhabitants in the public housing, which shows 3.51.
The purpose of this study is to develop the housing welfare indicators for evaluating housing welfare policies conducted by the Korean government. The contents of this research were as follows: as a phrase of setting up the development of housing welfare indicators, the scope of housing welfare and the direction of developing housing welfare indicators were settled. Second, as a phrase of drawing the housing welfare indicators, the indicators were categorized and selected. Third, as a phrase of applying the housing welfare indicators, the indicators in this research were quantified, and suggest the housing welfare from 2000 to 2005. As a result of this research, selected housing welfare indicators were settled as follows: the housing welfare indicators comprise 9 in the department of 'House', 4 in the department of 'Community', and 6 in the department of 'Policy Environment' (19 in total). Indicators were (1) Ratio of housing with Flush Toilets (2) Ratio of housing with Kitchen Sink (3) Ratio of housing with Bath facilities (4) Ratio of housing provided water supply (5) Ratio of housing supplied a sewage system (6) Floor Space per person (7) Number of persons per Room (8) PIR (9) RIR (10) Community Facilities Space per person (11) Urban Park Space per person (12) Journey to work (13) Crime Ratio (14) Number of Houses per 1,000 persons (15) Ratio of Substandard housing of the Minimum Housing Standard (16) Ratio of Irregular Dwelling Households (17) Ratio of Owner Occupant (18) Ratio of compulsory immigration (19) Ratio of Long-term Public Social Houses. The housing welfare indicators developed in this research will be used for the comprehensive assessment of the results of housing welfare policies and the establishment of housing policies as a basic material in the future.
Developed countries have developed indicators of quality of life and are using them as indicators of policy decisions, and Korea is also developing and operating indicators of people's quality of life. One of them is a lifestyle-oriented SOC, a policy that aims to improve the quality of life of the people by improving living infrastructure. This study aims to focus on subjective happiness among people's quality of life. The elderly are a relatively marginalized class in the national policy, and this study aims to analyze the effects of the elderly's residential environment on quality of life, housing satisfaction, and happiness. The purpose of this study is to provide useful implications for urban planning and related policy making by examining the structural relationship of whether the individual-environmental fit perceived by the elderly affects housing satisfaction and subjective happiness, and by analyzing the mediating effect between housing satisfaction and subjective happiness. As a result of the study, it was found that convenience, comfort, and public welfare of personal-environment suitability affect housing satisfaction and subjective happiness, and housing satisfaction affects subjective happiness. Also, it was analyzed that housing satisfaction had a mediating effect in the relationship between comfort, public welfare, and subjective feeling of happiness.
This research explores the household and housing characteristics of young renters aged between 19 and 34 living independently in rental housing of non-Seoul Metropolitan Area (non-SMA) and to determine the factors of their housing affordability and residential environment qualities in two districts of non-SMA - metropolises and non-metropolises. Using the 2020 Korean Housing Survey (KHS), this study identified 1,191 unmarried young renters, and most were single adults in mid-twenties who were salaried workers with a bachelor's degree or higher. Also, many lived in single-room occupancy of non-APT housing for less than 2 years and rarely relied on social services. The findings showed that the distinction of local housing market between metropolises and non-metropolises forced the former to spend more housing expense (tenancy deposit and rental fees) than the latter. With regard to housing affordability indices (Schwabe index, housing expense ratio and rent to income ratio), most were housing cost-burdened and nearly one quarter were severely rent-burdened. The regression analysis indicated that housing affordability in both districts was positively affected by income increase and social services, and housing satisfaction in non-metropolises was added to its determinants. Further, residential environment qualities were largely divided into two groups of livelihood and urban infrastructure, and the two factors influenced residential assessment in both districts. Since young renters interdependently living had suffered with housing affordability, both income growth and housing assistance are critically required to enable them not just to reduce the burden but to ensure livability.
Journal of The Korea Institute of Healthcare Architecture
/
v.17
no.2
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pp.7-16
/
2011
The death toll of the elderly by accidents in 2007 takes 6.5% of total death toll. The lost income from this is estimated to be 17 trillion and 511 billion won. According to CISS of Korea Consumer Protection Board, the number of safety related accidents of the elderly at home in 2006 was 486 cases in 2006 and has gradually increased every year. This thesis created 115 guidelines at 14 spaces as facility evaluation index evaluating the aging friendliness of the facility and safety related accidents generated at elderly resident welfare facility, examined influence variables of safety related accidents with 191 elderly including demographic variable, physical skill variable, social psychological variable and facility environmental variables, and then verified relevance between safety accidents and each influence variable. As a result, it was verified through ANOVA test of SAS Package Program and $x^2$- test that facility environmental variable would be closely related to the accident. In this regard, this study newly proposes the facility standards of aging friendly facility by supplementing them with contents and guidelines of facility evaluation table as ways to reduce safety related facility of the elderly.
The purpose of this study is to analyze the quality of life and provide an objective evaluation, and differentiated according to the local population for the realization of the quality of life policies are intended to provide baseline data. This study analyzed to the Development of Quality of Life indicators and weights for age differences in the quality of life, first to select the literature and previous studies analyzing the primary evaluation criteria. Second, the final evaluation of professional conduct FGI indicators are derived. Third, experts will conduct analysis to target weights. As a result of the first domain-specific weights family safety, economic stability, residential culture, health and welfare, and traffic environment in order. In particular, a family safe zone more than twice that of the other areas appeared to be important. Is determined. Second, age weighted analysis, the higher the age, economic stability, while important, safe area for families, the more the weight of age shows a deterioration. As income increases per capita housing area and the city park area, the exhibition shows the importance of housing across all age, environment, culture, suggests that increasing interest will.
Residential overcrowding, also called density, measured as more than one person per room, is a important variable as a principal indicator of inadequate housing. We investigated how immigrants in the US are assimilated to the host society through a lens of housing density. We estimated the probability of living in overcrowded housing of Korean, Chinese and Japanese immigrants armored with the 1980 and 1990 Public Use Microdata Sample(PUMS, A, 5%) in the US. Along with economic effects, we also consider life-cycle effects on the indicator. We applied "double cohort" method that enables duration of immigration effects to be separated from aging effects, which captures family size fluctuations due to life-cycle effects. The study found that cohort trends sharply changed during 10years. The 1970's immigrants are more likely to live in overcrowded housing than the pre-1970 immigrants. The pre-1970 immigrants are more likely to live in overcrowded housing than native-born persons. This may be explained by different assimilation processes driven by the disparities of individual human capitals or cultural differences among the ethnic groups. Especially, Korean experienced a sharp decline in overcrowding between 1980 and 1990. We also found that the major determinants that affect the level of housing density are years since migration, income, and gender. The present study concluded with some future studies related to the Korean immigrants abroad.ts abroad.
Journal of The Korea Institute of Healthcare Architecture
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v.26
no.4
/
pp.29-38
/
2020
Purpose: The first thing to be done in promoting community care is local diagnosis. Therefore, this study attempted to derive the physical infrastructure to be diagnosed, and to develop diagnostic items and diagnostic indicators applicable to this. Methods:: First, the physical infrastructure related to the community care is derived. And the diagnosis items are derived using the checklist of 'community support and health services' in the WHO Guide for Global age-friendly cities. Next, by analyzing previous studies, we develop diagnostic indicators for each diagnostic item and explore their applicability. Results: As a result of deriving the physical infrastructure for each area of housing, health service, and nursing care for community care, 22 facilities were derived for 9 types. Diagnosis items for the facilities are 1)regional equity, 2)proximity between facilities, 3)transportation access, 4)regional use, 5)barrier-free design, 6)diversity of facilities, and a total of 14 diagnostic indicators was derived. We reviewed and suggested the applicability of diagnostic items and indicators by each physical infrastructure. Implications: For the realization of community care, local diagnosis should not be limited to sim- ply grasping the presence or absence of facilities and the total amount. Instead it should strengthen capabilities by conducting diagnosis to understand the performance of facilities.
This paper aims at examining the indices and their weights for the evaluation of local government to allocate reconstruction charge and reviewing the availability of them simulating local governments' evaluation. There has been no specific evaluation criteria existed, while central government has to allocate the reconstruction charge to local governments by the provision 3 of Restitution of Housing Reconstruction Gains Act. The results as follows : According to a survey on evaluation indices weight and AHP analysis, the weight of 'the housing welfare improve effort' is the highest with 25.1% among 5 upper-classification indices. Following this, each weight of 'housing welfare conditions(22.7%)', 'housing SOC establishment(22.5%)', 'the achievement and planning on reconstruction charge use(15.8%)', and 'housing sector achievement such as Bogeumjari(13.9%)' are ranked. Meanwhile, Among 16 lower-classification indices, 'the rate of minimum housing standard households(11.5%)', 'public rental housing supply(8.9%)', 'reconstruction charge use achievement(8.3%)', 'reconstruction charge use planning submit(7.5%)', and 'rate of water and sewage(6.3%)' hold high rank. The analysis results show the weight of 'housing sector achievement such as Bogeumjari' on the existing provisions should be decreased(30%${\rightarrow}$13.9%) as others' weight has to be slightly increased. According to the result of the simulation, Jeonbuk, Gyeongbuk, Jeonnam, Jeju, Gyeonggi received higher scores in the comprehensive evaluation, while Daejeon, Seoul, Incheon, Daegu and Gwangju, where the housing conditions are relatively good, received lower scores. These results of the analysis correspond with the direction of reconstruction charges allocation and indicate that the evaluation criteria used in this simulation is acceptable.
Lee, Myeong Ho;Yu, Seon Cheol;Ahn, Jong Wook;Shin, Dong Bin
Journal of Korean Society for Geospatial Information Science
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v.24
no.4
/
pp.47-58
/
2016
The purpose of this study was to select the sectoral vulnerable areas index in welfare field and analyze the socially vulnerable areas from comprehensive analysis. For this study, preceding research and theoretical background were reviewed. Through this, we selected for the analysis index and criteria, and data corresponding to the index are collected. Based on the index and criteria, the data analysis was performed in Seoul Metropolitan City selected as the spatial extent of this study. From the results of analysis, the sectoral lower rank 10% of social vulnerable areas was determined. In addition, Junggu, Yongsangu, and Seodaemungu from the comprehensive analysis of individual vulnerable areas were derived as a final vulnerable areas. In particular, Junggu was weak in all sectors; Yongsangu was in the medical sector; and Seodaemungu was poor in housing and education. Lower vulnerability index of all sectors (energy, housing, medical, transportation, and education) in 1st, 2nd, and 3rd residential areas by examining use zoning was showed. From the results of this study, we can expect time and labor saving of policy support in public sector.
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