• Human Ecology Research
• /
• v.61 no.3
• /
• pp.375-387
• /
• 2023

In research on housing welfare policy, there has been little interest in middle-aged households compared with young or elderly households. The purpose of this study was to explore influences on the housing satisfaction of middle-aged renter households using microdata from the Korea Housing Survey 2021. A statistical analysis of data was performed on a total of 2,709,152 middle-aged (aged between 40 and 64 years) Jeonse (lumpsum housing lease) renters and monthly renters with deposits, living in private rental housing units. The major findings were as follows. Firstly, there were significant differences in housing unit satisfaction and residential environment satisfaction among renter groups by age and rental type. Early-middle-aged Jeonse renters displayed the highest satisfaction with both housing units and the residential environment, while semielderly monthly renters with deposits displayed the lowest satisfaction. Secondly, living in aged structures or in apartment units exerted the strongest influences on housing satisfaction, which implies the need for residential area regeneration programs that consider the situation of rental households. Thirdly, living in Incheon and Gyeonggi-do was found to have a negative influence on housing satisfaction. Fourthly, upward filtering on tenure types or lease renewal of the current house did not necessarily have a positive influence on the housing satisfaction of middle-aged renters. Based on the findings, suggestions were made to improve the housing situation of middle-aged renter households.

• Korean Journal of Family Social Work
• /
• no.55
• /
• pp.265-297
• /
• 2017

This study aims to provide basic information about the policy and system improvements relevant to single elderly men, through an investigation concerning the use and needs of activity spaces near their housing environments. Eighteen single elderly men over 60-years-old living in Gunsan city of Jeonbuk province in Korea participated in in-depth interview, and the data were qualitatively analyzed. The results of the study are as follows: The social networks of the participants were focused on friends or colleagues, while mutual exchanges with their children were intermittently undertaken. Natural networks of the elderly were formed mainly in third places, such as parks, restaurants, or community facilities, and about a half of the elderly participants had no spatial needs, and the rest required spaces for meal services, the elderly living community, jobs, leisure/hobby activities, or facility improvements. The elements influencing use of activity spaces were access from the residence, health, social networks, and economic conditions. The results suggest the following: Exercise or leisure facilities supporting elderly mobility should be set up close to their residential environments. Senior facilities centered on systematic supports and shuttle buses circulating around the places that the elderly visit frequently should be considered. On the other hand, regular maintenance and education on residents' proper use of the facilities, and sufficient information and fee discounts for the general programs are needed so that the elderly could interact with the younger generation. From a public perspective, a rational system and policy based on understanding single elderly men's needs should be prepared for provision and management of the activity space.

• Journal of the Korean Institute of Rural Architecture
• /
• v.13 no.2
• /
• pp.1-8
• /
• 2011

Due to rapid decrease in population of farming and fishing villages and drain of young rural manpower to the cities, aging is being intensified, and the conditions of housing and welfare of elderly households are inadequate. Currently, group home is being discussed as part of specialized housing and welfare support policy for the people in the vulnerable class with poor self-supporting abilities such as the aged living alone in farming and fishing villages, and aged farming and fishing households. So the purpose of this research is to present the basic data for proposing the policy of supplying group home through examining the realities of housing and welfare of the people in the vulnerable class in farming and fishing villages. Survey was conducted on the 4 regions -Cheonan-si, Gongju-si, Yesan-gun, and Seosan-si - whose apartments were all occupied by the residents among the group homes for the elderly living alone in Chungcheongnam-do and the following results were derived from the analysis on the data collected from the survey. First, great effects can be attained at small costs by reorganizing and utilizing the public facilities that are unused or little used and the existing houses that are exposed to risks due to improper maintenance. Second, it can be pointed out that the residential environment of the vulnerable members of society was improved without impairing the existing village landscape. Third, housing welfare was enhanced without investing a large sum of money and the system to promptly cope with negligent accidents and emergency can be built and operated. Fourth, the cases promoted to solve the problems of the poor, unhygienic, and unsafe housing of the elderly and the vulnerable members of society were very positive and well worthy of being presented as planning direction of future group homes in farming and fishing villages. Finally, if they are operated entirely for free, it will cause the lack of the sense of ownership and the problems in securing the budget, so the ways of paying minimum individual housing expenses should be examined. The alternatives of housing welfare for the vulnerable members of farming and fishing villages are needed and the ways of constructive planning and researches should be continuously made. Also, the government's support policy should be actively promoted.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.5
• /
• pp.127-132
• /
• 2021

Since the World Health Organization proposed guidelines for creating an age-friendly city in 2007, Efforts have been underway to create an age-friendly city to prepare for an aging society around the world. At this point in time, This study shows the local governments that are currently certified as an age-friendly city and the local governments that prepare for certification, improving the welfare level of single-person households for the elderly. For this purpose, Based on the theoretical discussion of elderly-friendly cities and single-person households, the policy implications are reflecting the eight major areas of the development of an aged-friendly city residential, economic, health, leisure and social participation, and for senior citizens in a single household presented policy reflections on four levels. Finally, The Limitations of the Unsurvey on the Actual Conditions of the Elderly in Single Households and future research directions were presented through the survey.

• Architectural research
• /
• v.8 no.1
• /
• pp.1-7
• /
• 2006

Various housing measures are needed for the rapidly aging society of Korea. In particular, the welfare policy for the elderly has changed towards the community care. Taking this fact into consideration, it is necessary to have the establishment of a system that offers the elderly appropriate welfare services at their appropriate residence (ageing in place) for the effectiveness of the community care. In this aspect, there are a number of implications to Korea to study merits and demerits of the Health Facilities for the Aged (HFA) in Japan. The society of Japan has been rapidly aging since 1970, and Korea is to face the same situation. As for the data of this study, a total of 2,393 facilities (as of November 1999) mentioned in the annual report of the Japanese Ministry of Health, Labor and Welfare were classified based on types of their establishment: (1) free-standing structures (603 facilities); (2) annexes to hospitals (981 facilities); (3) annexes to welfare facilities (511 facilities); and (4) annexes to clinics (298 facilities). Next, 239 facilities were selected through taking a sample of 10 percent from each type of the HFA mentioned above. This was done through the random sampling method with the computer program of MS EXCEL. The Implications of the results of analyses are as follows. First, most of the health facilities were planned with the scale that was larger than the scale of standard special nursing homes in terms of the total floor area. Precise equations that were to obtain precise results of the scale of the HFA and the appropriate number of residents were obtained through the method of the regression analysis. Korea and Japan have similarities in terms of culture, society and family relations; however, the two countries also have differences in terms of the application of laws on the establishment of houses, hospitals, and welfare facilities. As for planning the scale of the HFA, the realities of Korea should be considered. Second, as for the functional aspect of the HFA with a condition of returning home, the place before and after the HFA showed the pattern of 'from a residential place to a residential place' and 'from a hospital to a hospital.' This reveals a close correlation with the types of the HFAs and operational ways of the facilities. Its cause is considered to be the aspect of the operation and management of the HFA rather than the aspect of its function of providing services in association with medical and health facilities. Therefore, when intermediate welfare facilities are considered in Korea, it is strongly advised to consider the problem of annexes to other facilities and efficiency of sharing of the facilities in terms of its operation and management.

• Health Policy and Management
• /
• v.33 no.2
• /
• pp.141-156
• /
• 2023

Background: As the population rapidly ages, older adults are increasingly likely to experience mobility problems. This study aims to explore the characteristics related to an elderly person's willingness to live in a nursing home if they have mobility problems Methods: This study analyzed data from 9,917 older adults (5,976 young-old and 3,941 old-old) obtained from the 2020 National Survey of Older Koreans. The dependent variable was the intended place of residence for older adults with mobility problems. Independent variables included various characteristics: (1) sociodemographic and social support, (2) health and functional status, and (3) residential environment. Rao-Scott chi-square tests and survey logistic regression analyses were performed for the young-old and old-old, respectively. Results: The intention to live in a nursing home was significantly different between the young-old (30.4%) and the old-old (34.7%) (p=0.009). According to fully adjusted multivariable analyses, for the young-old, the odds ratio of intending to live in a nursing home was significantly higher in social security benefit recipients (1.45; 95% confidence interval [CI], 1.06-1.97) compared to other individuals. The odds ratio was higher in unmarried (divorced, separated, widowed, or never-married) individuals for both young-old (1.41; 95% CI, 1.22-1.63) and old-old (1.34; 95% CI, 1.09-1.65) age groups, compared to their respective married counterparts. Conclusion: The results of this study suggest that in an aging society, health and social policies should be designed considering the different characteristics of the elderly to improve their health, function, and quality of life.

• The Journal of Economics, Marketing and Management
• /
• v.11 no.6
• /
• pp.9-22
• /
• 2023

Purpose: This paper aims to suggest ways to apply the leading technologies of Industry 5.0 to the housing welfare field, tasks for this, and policy implications. Research design, data, and methodology: The analysis method of this study is a literature study. The analysis steps are as follows. Technology trends and characteristics of Industry 5.0 were investigated and analyzed. The following is a method of applying technology 5.0 in the industrial field. Finally, the application areas of each technology and the challenges to be solved in the process were presented. Results: The results of the analysis are 1) the accessibility and diffusion of technology. This means that all citizens have equal access to and use of the latest technology. To this end, the appropriate use of technology and the development of a user-centered interface are needed. 2) Data protection and privacy. Residential welfare-related technologies may face risks such as personal information leakage and hacking in the process of collecting and analyzing residents' data. 3) Stability, economic feasibility, and sustainability of the technology. Conclusions: The policy implications include: 1) Enhancing technology education and promotion to improve tech accessibility for groups like the low-income, rural areas, and the elderly, 2) Strengthening security policies and regulations to safeguard resident data and mitigate hacking risks, 3) Standardization of technology, 4) Investment and support in R&D.

• Journal of the Korea Society of Computer and Information
• /
• v.25 no.8
• /
• pp.81-87
• /
• 2020

In this paper, proposes a health status monitoring system for socially marginalized elderly households living alone. This system is implemented by collecting various PHR biometric signals and residential environment information through IoT devices. In addition, the company aims to establish a basic infrastructure that can understand the situation of lonely deaths and implement prevention programs by strengthening the predictive ability through data analysis of the DB server based on PHR and information collected from IoT sensors. The sensor consists of an environmental information collection sensor and a noncontact and wearable sensor for biometric signal collection. A gateway is required to transmit the collected data to the server, and the prototype is presented in this paper. The paper has a discussion purpose of policy task for expanding medical welfare service. The results of this study are believed to help expand services to the socially marginalized and improve the medical environment of the people.

• The Journal of Industrial Distribution & Business
• /
• v.11 no.7
• /
• pp.29-40
• /
• 2020

Purpose: In modern society, many urban problems are occurring, such as aging, hollowing out old city centers and polarization within cities. In this study, we intend to apply big data and machine learning methodologies to predict depression symptoms in the elderly population early on, thus contributing to solving the problem of elderly depression. Research design, data and methodology: Machine learning techniques used random forest and analyzed the correlation between CES-D10 and other variables, which are widely used worldwide, to estimate important variables. Dependent variables were set up as two variables that distinguish normal/depression from moderate/severe depression, and a total of 106 independent variables were included, including subjective health conditions, cognitive abilities, and daily life quality surveys, as well as the objective characteristics of the elderly as well as the subjective health, health, employment, household background, income, consumption, assets, subjective expectations, and quality of life surveys. Results: Studies have shown that satisfaction with residential areas and quality of life and cognitive ability scores have important effects in classifying elderly depression, satisfaction with living quality and economic conditions, and number of outpatient care in living areas and clinics have been important variables. In addition, the results of a random forest performance evaluation, the accuracy of classification model that classify whether elderly depression or not was 86.3%, the sensitivity 79.5%, and the specificity 93.3%. And the accuracy of classification model the degree of elderly depression was 86.1%, sensitivity 93.9% and specificity 74.7%. Conclusions: In this study, the important variables of the estimated predictive model were identified using the random forest technique and the study was conducted with a focus on the predictive performance itself. Although there are limitations in research, such as the lack of clear criteria for the classification of depression levels and the failure to reflect variables other than KLoSA data, it is expected that if additional variables are secured in the future and high-performance predictive models are estimated and utilized through various machine learning techniques, it will be able to consider ways to improve the quality of life of senior citizens through early detection of depression and thus help them make public policy decisions.

• Journal of Cadastre & Land InformatiX
• /
• v.50 no.1
• /
• pp.231-245
• /
• 2020

The purpose of this study was to analyze the spatiotemporal characteristics of staying places by deriving the main staying places of the elderly population in Seoul using public transportation card data. For this reason, we used public transportation card data for 7 days from October 12, 2015 to October 18, 2015. As a result of the analysis, 14 places were extracted as the main staying places. It was divided into 5 groups based on the characteristics of the visiting users and concentration time. Most of the staying places showed that the elderly users who lived near the places visited, but in the case of the group where a large number of elderly users visited had relatively wide range of residential distribution. It was possible to confirm that there was a hierarchy. And the concentration time was displayed differently. Most of the staying places' concentration time was between 10 am and 5 pm. However, in the case of Jegi-dong group and Jamsil group had different concentration time. The results of this research provide necessary suggestions for establishing a public transport policy that considers the main stay spaces of the elderly population in Seoul and the stay characteristics of each stay space.