• Journal of Society of Preventive Korean Medicine
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• v.6 no.2
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• pp.19-35
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• 2002

To know the differences between health concern, health behavior, and subjective health cognition in urban and rural area, author used the correlation analysis between variables and wanted to provide basic data for public health service to support appropriate health care, health maintenance, and health promotion in community. Data collection were done in JeonBuk area from September 10 to October 10, 2001, and subjects were above 20 years old adult. 350 and 250 subjects were from urban and rural area by random sampling, respectively. Questionnaire were completed by interview with direct or self-recording type. Research tool was questionnaire with health concern, health behavior, and subjective health cognition, and data collected were analyzed into descriptives, crosstabs, T-test, ANOVA, Pearson correlation coefficient by SPSS 10.0 program. The results were as follows: 1. Health concern was 9.0% for upper group, 39.1% for middle group, 51.9% for lower group in urban area, and 10.1% for upper group, 41.0% for middle group, 48.8% for lower group in rural area. Health concern for middle and lower group was totally high percentage, and rural area had higher health concern than urban area. 2. Health behavior in both urban and rural area was statistically significant(p<0.01). Women who had higher age and with spouse had high degree of health behavior, and urban area had totally high score for health behavior compared to rural area. 3. Subjective health cognition was 71.0% for health, 29.0% for non-health in urban area, and 61.3% for health, 38.7% for non-health in rural area. Percentage of health group was higher in urban area than in rural area. 4. Degree of health behavior by health concern was statistically significant only in rural area. That is to say, the higher health concern had the higher degree of health behavior in rural area. Subjective health cognition by health behavior was totally significant correlation with health behavior in urban and rural area(p〈0.05). That is to say, the higher health behavior in urban and rural area had the higher subjective health cognition. 5. For correlations between 3 variables, there was significant correlation between health behavior and subjective health cognition in urban area (p<0.01). There were correlations between health concern and health behavior, health behavior and subjective health cognition(p<0.05). Considering above results, the higher health behavior had the higher subjective health cognition in urban area. The higher health concern had the higher behavior, and the higher health behavior had the higher subjective health cognition in rural area.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.13-24
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• 2020

As the importance of rural landscapes has recently emerged due to an increase in number of urban to rural migrants into suburban area in Korea, this study empirically grasps the differences in subjective landscapes perceptions between native and non-native residents. and tried to explore new landscape management possibilities through the role of each residents group. To this end, based on the data collected through the 'photo-elicitation with walking', the residents' landscape perception objects, perception factors, and perceived feelings are derived, and then the differences and characteristics of landscapes perception between native and non-native residents group were analyzed. As a result, native residents perceived everyday landscapes relatively meaningfully and provided abundant information in all aspects, while non-native residents mainly recognized characteristic landscapes and responded more sensitively to visual and environmental perception factors than the natives. Non-native residents also showed strong willingness to improve the degraded landscapes. These results are expected to provide a basis for exploring the role of residents in rural landscape planning and management in the future.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.103-113
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• 2020

Land price can be affected by convenience or psychological repulsion like PIMFY (Please In My Front Yard) or NIMBY (Not In My Back Yard) for various facilities. The purpose of this study is to evaluate whether non-preferred facilities are related to NIMBY impact that negatively affect land prices using the spatial econometrics models which are spatial autoregressive models (SAR), spatial errors models (SEM), and general spatial model (SAC). The land price in urban area increases by 0.07-0.2% when the distance from aversion facilities increases by 1%. However, the land price in rural areas decreases when the distance from aversion or pollution facilities increase. Therefore, these facilities in rural areas located in the areas with higher land price because funeral homes located in center of rural administrative areas and charnel house or crematorium located in the fringe of urban areas. That is, this study explain the difference between land price and non-preferred facilities in urban and rural areas and why there are more N IMBY symptoms in urban areas.

• Journal of the Korean association of regional geographers
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• v.21 no.2
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• pp.226-241
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• 2015

This research aims to analyse rural change by increasing in urban-to-rural migrants in rural Jeju. In particular, the author analysed changes in rural area focusing on non-agricultural sector and local organization. Urban-to-rural migrants into rural Jeju have been causing increase in tourism business. Such an increase in tourism business caused increase in construction of service space and changes in land use. Meanwhile, the local organization formed by urban-to-rural migrants has differences in its members and its activities and implementing system of activities in comparison with those of native local organizations. The Seowgipo Rural Migrants Cooperative, which is the research target, has characters of urbanism even thoug it was formed in rural area.

• Journal of Agricultural Extension & Community Development
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• v.16 no.3
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• pp.557-586
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• 2009

The objective is to find the classification criteria between urban and rural, and to classify the urban and rural area all the country in Korea. For the research objectives, reviews of related literature and statistical yearbooks were used for finding criteria and analysing data. Through reviewing the literature, some indicators were selected in views of rurality and urbanity, and gathered the data from statistical yearbooks. And factor analysis was used to find first and second factor for classifying region. Six factors as a city surrounding(36%), non-farmer household population ratio(28.1%), cultivated acreage(12.48%), agricultural production surrounding (12.40%), the farm family number change(5.58%) and household number rise and fall(5.54%) were finding. And rurality factors were cultivated acreage, agricultural production surrounding, the farm family number change and household number rise and fall, and urbanity factors were city surrounding and non-farmer household population ratio. Based on the first and second factor loaded amount, four type regional classification was followed.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.7 no.2
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• pp.233-244
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• 1997

In order to investigate the concentration of trace metals in human hairs from residents living in urban area and rural area, the 120 hair samples of adults were taken from urban areas(industrial area, bus terminal, downtown area) and rural area(Kasan-ri, Yeoju-up, Yeoju-goon) during July - September 1995. Mean concentrations of trace metals including lead and cadmium in human hair were compared by region, sex, presence of smoker, type of water, period of residence. The results were as follows; 1. The average concentrations of lead and cadmium in hairs of urban area are $0.92{\mu}g/g$ ($1.01{\mu}g/g$ industrial area, $1.01{\mu}g/g$ bus terminal, $0.74{\mu}g/g$ downtown area), $0.38{\mu}g/g$ ($0.54{\mu}g/g$ industrial area, $0.49{\mu}g/g$ bus terminal, $0.12{\mu}g/g$ downtown area). The mean concentrations of lead and cadmium in urban area are higher than the corresponding levels in the rural area. 2. Lead concentration for male in the urban and rural area is 0.94 and $0.62{\mu}g/g$, 0.90 and $0.60{\mu}g/g$ for female. But, It does not have any statistical significance. Cadmium concentration for male in the urban and rural area is 0.38 and $0.12{\mu}g/g$, 0.38 and $0.11{\mu}g/g$ for female. But It does not have any statistical significance. 3. Mean concentrations of lead and cadmium in smokers shows higher than non-smokers. It showed that the longer period of residence in urban area, the higher concentrations of three metals.

• Journal of Korean Society on Water Environment
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• v.30 no.5
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• pp.503-511
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• 2014

The temporal and spatial analyses of total nitrogen (TN) fractionation were conducted in order to understand 1) total nitrogen components in streams and 2) their patterns in rainy and dry seasons. The result showed that the concentration of nitrogen components in stream water was lower in non-urban area and getting higher in urban area. Dissolved total nitrogen (DTN) was 95~97.7% of total nitrogen in streams, and the proportion of dissolved organic nitrogen (DON) and ammonia nitrogen ($NH_3-N$) was higher with increasing urban area. The concentration of total nitrogen and nitrate nitrogen ($NO_3-N$) were highest in winter among four seasons. The result was showed that concentration of $NH_3-N$ was same variation as concentrations of TN and $NO_3-N$ in urban-rural complex and urban areas, except rural areas. During rainy season, concentrations of particulate organic nitrogen (PON) and $NH_3-N$ increased in rural areas and decreased in both urban-rural complex and urban areas. Correlation between total nitrogen components and land uses was positively correlated with site > paddy, and negatively correlated with forest. The variation of total nitrogen concentration was determined by $NO_3-N$ in non-urban areas, by $NO_3-N$ and $NH_3-N$ in urban-rural complex and by $NH_3-N$ in the urban areas.

• Health Policy and Management
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• v.26 no.1
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• pp.12-23
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• 2016

Background: Many studies have explained regional disparities in health by socioeconomic status and healthcare resources, focusing on differences between urban and rural area. However some cities in Korea have the highest cardiovascular mortality, even though they have sufficient healthcare resources. So this study aims to confirm three hypotheses. (1) There are also regional health disparities between cities not only between urban and rural area. (2) It has different regional risk factors affecting cardiovascular mortality whether it is urban or rural area. (3) Besides socioeconomic and healthcare resources factors, there are remnant factors that affect regional cardiovascular mortality such as health behavior and physical environment. Methods: The subject of this study is 227 local authorities (si, gun, and gu). They were categorized into city (gu and si consisting of urban area) and non-city (gun consisting of rural area), and the city group was subdivided into 3 parts to reflect relative different city status: city 1 (Seoul, Gyeonggi cities), city 2 (Gwangyeoksi cities), and city 3 (other cities). We compared their mortalities among four groups by using analysis of variance analysis. And we explored what had contributed to it in whole authorities, city and non-city group by using multiple regression analysis. Results: Cardiovascular mortality is highest in city 2 group, lowest in city 1 group and middle in non-city group. Socioeconomic status and current smoking significantly increase mortality regardless of group. Other than those things, in city, there are some factors associated with cardiovascular mortality: walking practice(-), weight control attempt(-), deficiency of sports facilities(+), and high rate of factory lot(+). In non-city, there are other factors different from those of city: obesity prevalence(+), self-perceiving obesity(-), number of public health institutions(-), and road ratio(-). Conclusion: To reduce cardiovascular mortality and it's regional disparities, we need to consider differentiated approach, respecting regional character and different risk factors. Also, it is crucial to strengthen local government's capacity for practicing community health policy.

• Journal of Nutrition and Health
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• v.47 no.6
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• pp.475-483
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• 2014

Purpose: The purpose of this study was to measure accessibility and to examine distribution of restaurants in the local community. Methods: The target area of this study was two urban areas and a rural area in a city. We collected location information on all restaurants in target areas and classified all restaurants according to Korean food restaurants and Non-Korean food restaurants. We measured restaurant density per 100 m from the residences of the study population and calculated the distance of the nearest restaurant from the residences of the subjects using the Geographic Information System (GIS) analysis method. We compared the accessibility and distribution of restaurants in urban areas with that of the rural area, and compared the accessibility and distribution of Korean restaurants with that of Non-Korean restaurants. Results: Restaurants in urban areas were more dense than those in the rural area, and, in urban areas, restaurants were intensively distributed around the subjects' residence. Also, there were more Non-Korean food restaurants than Korean food restaurants in urban areas, and it was opposite in the rural area. Conclusion: It is important that we understood the current state of the restaurant environment in the local community using GIS analysis for the first time in the field of food environment. Further research is necessary on the association of restaurant environments and the dietary life of the population.

• Journal of the Society of Disaster Information
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• v.11 no.3
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• pp.393-399
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• 2015

In this study, the history of disaster occurrence in rural area was reviewed and damage characteristics were analyzed in order to improve the safety level according to the occurrence of disasters in non-urban area (rural area). Also, the concept of regional disaster prevention was adopted to rural area and the basic direction for establishing a disaster safe village in rural area was set. Due to the characteristics of rural area, the population and the number of households in the rural area were small, and the rural area showed lack of various disaster safety facilities and infrastructures and limitation in the access to the outside due to its geographical characteristics. Therefore, the matters regarding the direction for establishing and operating a regional disaster safe village reflecting humanities, facilities, infrastructures, and geographical and environmental characteristics were summarized.