• The Korean Journal of Community Living Science
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• v.25 no.4
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• pp.567-579
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• 2014

Housing environments of individuals and families can have considerable influence on their quality of life. This study examines the factors influencing housing satisfaction and compares them between rural and urban areas. A total of 3,958 households collected from a nationwide survey were analyzed using an ordered probit model. The results indicate that housing satisfaction was influenced by individual, housing, and neighborhood attributes. The factors that differentiated between rural and urban models were sex, housing type, and relationships with neighbors. The results have important policy issues for improving rural housing.

• Journal of Korean Society of Rural Planning
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• v.22 no.4
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• pp.147-157
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• 2016

On the purpose to analyze the survival rate of startup companies since their establishment, the companies' survival rate was investigated by surviving period. The average and coefficient of variation(C.V.) of the startup companies' survival rate were examined with the comparison of urban and rural areas, and primary, secondary, and tertiary industries. In this study, the variation of total numbers of new-established companies, from 1998 to 2012, were analyzed with micro-data of the Statistics Korea, 'The Census on Establishments'. The results show that the survival rate of primary industry companies largely fluctuate and don't be stabled during the whole surviving periods, whereas secondary and tertiary industry companies show stabilized survival rate after fifth year from their establishment. Especially, the startup companies of primary industry located at urban areas show the largest fluctuation and the most vulnerable stability of survival rate. It is concluded that the surviving period of primary industry companies don't guarantee their survival, while survival rate of secondary and tertiary industry company became stable after five years from their establishment.

• Journal of Korean Society of Rural Planning
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• v.28 no.1
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• pp.37-47
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• 2022

The purpose of this study is to introduce the concept of community resilience to rural society and build an index suitable for the reality of rural areas. Furthermore, by calculating the importance of evaluation factors, it was attempted to present priorities and alternatives for each evaluation factor. By stratifying the derived indicators, a survey was conducted targeting 20 researchers, practitioners, and public officials, three groups of experts working in rural areas who were well aware of the realities and problems of rural areas. In the survey, a pairwise comparison was performed to compare factors 1:1 to calculate the importance, and for rational and consistent decision-making, decisions were made in the 9-grade section. Using the collected data, consistency analysis that can evaluate reliability in the decision-making process and the relative weight of evaluation factors were calculated through AHP analysis. As a result of the analysis, as a result of examining the priority of final importance by summarizing the importance of all evaluation factors, 'Income creation using resources' > 'Population Characteristics' > 'Tolerance' > 'External Support' > 'Social Accessibility' > 'Physical Accessibility' > 'Community Competence' > 'Infrastructure' > 'Leader Competence' > 'Natural Environment' was derived in the order. In the study dealing with urban community resilience indicators, social aspects such as citizen participation, public-private cooperation, and governance were presented as the most important requirements, but this study differs in that the 'income creation' factor is derived as the most important factor. This can be seen through the change in the income difference between rural and urban areas. The income structure of rural areas has changed rapidly, and it is now reaching a very poor level, so it is necessary to prepare alternatives to 'income creation' in the case of rural areas. Unlike urban indicators, 'population characteristics' and 'tolerance' were also derived as important indicators of rural society. However, there are currently no alternatives to supplement the vulnerability by strengthening the resilience of rural communities. Based on the priority indicators derived from the study, we tried to suggest alternatives necessary for rural continuity in the future so that they can be supplemented step by step.

• Journal of International Academy of Physical Therapy Research
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• v.5 no.2
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• pp.701-707
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• 2014

This study was carried out survey to compare using status of physical therapy for elderly persons between urban and rural area in Honam. There were 16 places consisting of general clinics, departments of family medicine, pain medicine, and orthopedics that run outpatient physical therapy. This study distributed 636 questionnaires in total and collected 400 responses. Regionally, 200 responses out of 311 questionnaires from Gwangju and 200 responses out of 325 questionnaires from Jeollanam-do and Jeollabuk-do were collected. Regionally speaking, Gwangju was 62% while Jeollanam-do and Jeollabuk-do regions were 88%, indicating patients in rural areas employed more public transportation, which was statistically significantly different. There was a difference between urban and rural areas with regard to questions regarding improvement with physical therapy. Factors related to the number of physical therapy visits per week that showed a significant difference between urban and rural areas found by the linear regression analysis result were working hours, whether the patient exercised or not, and pain stress. This result suggest that it is necessary to reduce working hours and pain stress experienced by rural elderlies as well as to encourage regular exercise via national polices.

• Journal of the Korean Home Economics Association
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• v.33 no.3
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• pp.43-57
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• 1995

The purpose of this study is to explore the characteristics of interaction between the social support network and the korean eldery and to provide information on the structure and function of the social network which influences the life satisfaction in the aged. The sample of this study was selected from the elderly living in korean urban and rural areas. 213 out of urban respondent and 350 out of rural respondent were selected as data sources. The methodological instrument was the questionnaire. The major findings of this study can be summarized as follows : 1. most of the elderly had the relationship with all kinds of social support network-family, kin, neighbors and friends. 2. the elderly having contact with all kinds of the social support network showed the highest life satisfaction. 3. the size, the frequency and the distance weren't important factors in influencing the family, the kin and the neighbors support network in the urban elderly. In the rural elderly the size was an important factor in all the support network. Also the frequency had effect upon all networks except the neighbors and the distance had significant effect upon the family support network. 4. In the urban elderly the friends support network had the positive correlation with life satisfaction. the rural elderly having contact with all kinds of the social support network showed high life satisfaction.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.633-641
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• 2017

This study explores how the digital divide caused by personal SES(Socio-Economic Status) eventually affect personal life satisfaction. The study also investigates the differences between living in urban and rural areas, as well as the differences among generations, with respect to the digital divide and personal life satisfaction. Based on the Korean Media Panel data produced by KISDI, this study used 9,647 national samples to obtain variables such as digital divide, and life satisfaction. Results show that personal SES is a key factor that significantly influences digital divide and life satisfaction in various degrees. Also, the study finds that the degree of the digital divide have an effect on people's life satisfaction. The findings imply that people living in urban areas are more highly used to digital media than those in rural areas regardless of their SES. The study has an implication, in terms of digital equity among generations as well as urban and rural residents.

• Journal of the Korean housing association
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• v.18 no.5
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• pp.23-32
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• 2007

This study was to find out contemporary planning characteristics of rural houses in Na-po Munhwa village by analyzing their floor plans. These results were then compared with apartment housing trends. 240 houses were built in that village, but it was only possible to collect housing data, floor plans and general building records from 102 houses, using house registers. By analyzing those data, the findings were as follows: 1) Floor plan shapes of rural houses showed a tendency to words a 'ㅋ' shape, a 3bay or a transformed 3 bay and a "room-living-room" space arrangement of a centered living room. Public spaces (L.D.K) were separately planned DK from livingroom. Living space was very open and the DK space had created visual privacy from the entrance. The Anbang (master bedroom) and living space were set to the front of the floor plan and an interior toilet was planned in them. These floor-planning tendencies were similar to trend apartment houses in urban areas. 2) Utility and Balcony spaces as a support space of kitchen were not popular features of rural houses in the Munhwa village. These results were different from urban apartment housing trends. 5) Storage space practically absent in those rural houses, and this was similar to urban the trends in urban apartment houses.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.107-116
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• 2020

The purpose of this study is to analyze the characteristics of the 11 southeastern states in the United States by using regional characteristics variables and to classify the regions. First, 19 variables from four categories of population, society, industry-economy and urban service were selected and factor analysis were conducted, and the result showed five major factors of population, economic condition, job and commuting. Based on the following factor scores, a cluster analysis was conducted, and eight types of big city, medium-sized city, bed town, small town, urban hinterland, retirement town, and rural village were derived. These types of spatial distribution characteristics showed big cities were by different types of regions and they formed metropolitan areas. Each types of classified regions were located along the road network with hierarchy. The study focused on cases in the southeastern regions of the United States and can be used as a comparison with Korean cases. If the same research method is applied to Korea in the future, or if the time series of changes is tracked by analyzing different time points, it will greatly help identify the characteristics of urban and rural mixed areas.

• The Journal of Korean Academic Society of Nursing Education
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• v.8 no.1
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• pp.120-130
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• 2002

This study was attempted to identify and compare in developing a health promotion program for extending healthy life expectancy of the middle-aged women and protecting health of women in the vulnerable class by comparing and researching life-style and actual conditions of health for the middle-aged women in rural and urban areas. Subjects of this study were 160 middle-aged urban women in Seoul city and chongju city and 155 middle-aged rural women in rural community goisangun. For collecting data, questionnaire was performed with structured questionnaires was used to know their actual conditions of health and life-style. Findings of this study were as follows. 1. In comparing life-style of the urban middle- aged women with the rural community, the percentage of regularly checked-up were higer urban women (46.4%) than the rural women (35%); women who have not checked up were 21.3% and 11.4% in the rural community and cities respectively, but it had a statistically significant difference (p=0.009). For the types of checkup, the rate of uterine cancer checkup than that of breast cancer self-examination or cholesterol test was higher both in the rural community(75.6%) and cities(77.4%). 2. The results of comparing actual conditions of the middle-aged women in the rural urban area were as follows; the recognition of health of the urban women was 'Very healthy (7.2%),' 'Healthy (35.5%),' 'Moderate (46.5%),' and 'Not healthy (10.3%), while the recognition of the rural women was 'Very healthy (2.5%),' 'Healthy (30.0%),' 'Moderate (36.3%),' and 'Not healthy (30.6%)'. These results showed a statistically significant difference (p=.000). Women having any problems in health were 48.1% and 36.8% in the rural and the urban respectively and it had a statistically significant difference (p=.042). For the most of health problems, arthritis accounted for 29.4% in the rural community and arthritis and constipation accounted for 21.3% in the urban. According to findings of this study, it can be concluded that rural women had more health problems, felt they were not healthy themselves and were checked up regularly less than the urban women, and their health care was poor. Therefore, more effective nursing intervention plans should be designed to enhance the performance level of health promotion for rural women.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.355-363
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• 2015

The purpose of this study is to develop a culture and leisure resources scale and examine the validity of the scale. The culture and Leisure resources scale was developed and identified its validity by exploratory factor analysis, confirmatory factor analysis, and correlation analysis. The culture and leisure resources scale consisted of four factors, which were 'personal resources', 'support staff resources', 'facility resources', and 'program resources'. Those four factors indicated the reasonable fit indices from confirmatory factor analysis. In addition, this scale showed convergent validity with the satisfaction of cultural and leisure environment and the satisfaction of one's cultural and leisure life. The result of scale score comparison between rural and urban areas showed that culture and leisure resources in rural areas were less abundant than those in urban areas. Furthermore, while the variables which affected the satisfaction of urban residents' were mainly 'personal resources', the variables in case of rural residents' were mainly 'program resources' and 'facility Resources'. The culture and leisure resources scale can be used for policymakers practicably to evaluate regional level of culture and leisure resources, to compare between regions and to find policy priorities for improving the quality of leisure, especially for disadvantaged areas with less resources.