• Journal of the Korean Regional Science Association
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• v.36 no.2
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• pp.3-12
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• 2020

Recently, metropolitanization and suburbization have been occurring mainly in large cities, and spatial miss-match between residential and employment areas has increased. Spatial miss-match is different in the metropolitan cities and other metropolitan cities in Korea. Seoul and other metropolitan cities have grown to become centers of business functions, while other metropolitan cities have been transformed into residential function centers. Accordingly, The reverse commuting phenomenon is occurring in the rural metropolitan. The reverse commuting phenomenon limits the employment opportunities of specific classes among urban residents, and cause various problems such as environmental pollution and traffic congestion. Therefore, many studies on spatial mismatch and reverse commuting have been conducted, but a number of studies have been conducted on the Seoul metropolitan area, and research on other metropolitan areas is insufficient. The purpose of this study is to analyze the cause of the commuting phenomenon in the metropolitan area of the non-metropolitan area by considering spatial mismatch and understanding the reverse commutation situation in the local metropolitan area. This study is analyzed by a multi-level model and suggests the need for management of industrial location and expansion of residence in suburban.

• Korean Journal of Social Welfare
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• v.60 no.4
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• pp.205-230
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• 2008

This study analyzed the regional effects on the poverty status of households and the poverty difference between Metropolitan and Non-metropolitan area in Korea. The Korea Welfare Panel Study was used for the study, and the results are as follows. First, the poverty rate of Non-metropolitan area is higher than Metropolitan area, and the poverty rate of small-sized regions is the highest area among Non-metropolitan areas. It shows that the poverty of regions is deeply related with the development of region. Second, the people living in Non-metropolitan area have experienced more hardships than the people of Metropolitan area, even though they have similar socio-demographic characteristics. It implies that living in the Non-metropolitan area is to have much more risk of poverty. Third, the regional effects on the poverty are found, that is, living in Non-metropolitan areas is positively associated with the poverty probability. Lastly, regional effect, that is the differences of the poverty probability between Metro and Non-metropolitan areas, is estimated as $49.2{\sim}73.7%$ of total poverty differences. Results of this study suggest that regional poverty policies are necessary to solve the regional differences of poverty in Korea.

• Journal of the Korean Society of Food Culture
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• v.36 no.1
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• pp.92-102
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• 2021

There is little information on the nutrient intake according to the city size and small town in Korean elderly. This study analyzed the nutritional consumption of older people in metropolitan, middle and small cities, and rural areas according to four income levels. The recent data from the 2016~2018 Korean National Health and Nutrition Survey, Centers for Disease Control and Prevention were used. The final analysis included 4,325 individuals (Male: 1,856, Female: 2,469) over 65 years old. Multivariable regression with a complex sample design was conducted to compare the nutrient intake among the groups. In a comparison within regions, the nutrition status of the elderly in small towns was more vulnerable than metropolitan and middle & small cities. The energy intakes were similar between the groups. The carbohydrate intake of middle & small cities was significantly higher than the other regions. The intake of other nutrients in metropolitan and middle & small cities appeared to be higher than in rural areas. The number of nutrients with statistical significance between low and high-income levels were 19 in metropolitan, 11 in middle & small cities, and 5 in rural areas. Each contribution of carbohydrate, fat, and protein to the total energy intake was lower in the low-income level than the high-income level in metropolitan and middle & small cities. On the other hand, in rural areas, only the contribution of protein to energy intake was lower in the low-income level than the high-income level. Cities with higher levels of urbanization had more severe nutritional inequality in relation to the income level. There was also nutritional inequality present in rural areas but it was to a lesser extent. Moreover, the generally low level of nutrient intake was problematic in rural areas. These findings could be used as fundamental evidence for developing community nutritional policies for the elderly.

• The Journal of the Korean dental association
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• v.16 no.10 s.113
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• pp.791-794
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• 1978

The authors selected socio-geographically different sample areas. The dental caries on the deciduous teeth was observed and evaluated in each sample area. And then, dft rate, dft index, dt rate and ft rate were calculated and compared. The obtained results were as follows; 1. The dft rate of the deciduous teeth was 33.28% in the metropolitan area, 19.78% in city area, 18.21% in town area, 13.48% in field area, 15.26% in coastal area, 22.11% in mountain area, and 20.37% in hot spring area. 2. The dft index of the deciduous teeth was 4.51 in metropolitan area, 2.78 in city area, 2.59 in town area, 1.95 in field area, 2.30 in coastal area, 3.03 in mountain area, and 2.85 in hot spring area. 3. The dt rate of the deciduous teeth was 66.51% in metropolitan area, 95.38% in field area, 98.94% in hot spring area, and 100% in the other areas. 4. The ft rate of the deciduous teeth was 33.48% in metropolitan area, 4.61% in field area, 10.50% in hot spring area, and 0.00% in the other areas. 6. We could not find that the some dental cares for the dental caries on the deciduous teeth of Korean children were supplied in metropolitan area, and the track of dental cares was appreciated in the field area, but no trace was indentified in the coastal, mountain, city, and town areas.

• Preventive Nutrition and Food Science
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• v.9 no.2
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• pp.174-182
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• 2004

The zinc intake and status of South Koreans from rural, urban and metropolitan areas were compared to evaluate the zinc nutritional status in different regional areas in South Korea. The dietary habits of 721 healthy adult subjects (271 from rural, 240 from urban, 210 from metropolitan city) with an age range 30 ∼ 64 (mean age 54$\pm$18) were assessed using a food frequency questionnaire. Mean daily Zn intake for rural, urban, and metropolitan areas was 6.5 mg, 7.3 mg, and 11.4 mg (p<0.05), respectively, which was 54%,61% and 95% of the Korean RDA for man (12 mg/d). Mean phytate: zinc molar ratios for rural, urban, and metropolitan city were 41, 34, and 30, respectively (p < 0.05), which were higher than the cutoff level of 20 for poor zinc status. The zinc intake and phytate: Zn molar ratio in the rural area were 0.5 and 1.3-fold compared to those of the metropolitan city, which can cause poor zinc nutriture in the rural area. Most of the zinc biomarkers were lower in the rural area than in the metropolitan city (p < 0.05) (mean rural and metropolitan values for plasma Zn: 80.8 $\mu\textrm{g}$/dL and 119.8 $\mu\textrm{g}$/dL, respectively; RBC Zn: 7.8 $\mu\textrm{g}$/dL and 8.8 $\mu\textrm{g}$/dL, respectively; plasma alkaline phosphatase (ALP) activity: 87 mU/mL and 100.4 mU/mL, respectively). It seems that a lower zinc intake in the rural area decreased zinc biomarker levels, such as plasma and RBC zinc, and plasma alkaline phosphatase activity, and caused the poor zinc nutritional status in this area. Most of the zinc biomarkers, such as RBC zinc and urinary and plasma zinc levels, in the subjects from the three localities, were within the normal range even when zinc intake of rural and urban subjects was low. The exception was plasma ALP activity in the rural area, which was lower than the reference level. Thus, marked zinc deficiency in these subjects were not observed, however, the potential for marginal zinc deficiency should be considered, especially for the rural area, because of the low zinc intake and the biomarker levels for marginal zinc deficiency.

• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.88-94
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• 2023

Objectives: This study examined how deprivation differed by region and the effect those differences had on suicidal ideation among the local population. Methods: Data collected over 10 years (2012-2021) in the Korea Welfare Panel Study were organized into 3 categories: metropolitan, city, and rural. A panel analysis was conducted on the impact of deprivation indices, socio-demographic characteristics, and life satisfaction on suicidal ideation in each category. Results: Income, divorce status, family relationship satisfaction, and medical deprivation had a significant impact on suicidal ideation in metropolitan areas, whereas these variables did not have significant effects in rural areas. In other words, income, family, and medical support were more impactful in city areas. Conclusions: Although the deprivation index was higher in rural areas than in city areas due to an aging population and reduced income levels, the mental health of rural residents was found to be generally better than that of city residents. The possibility that this is related to the strength of relationships within the respective communities should be considered in light of recent discussions on relational welfare.

• Journal of environmental and Sanitary engineering
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• v.3 no.2 s.5
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• pp.91-98
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• 1988

This study was carried out to investigate the Pollution of heavy metals in Soil, collected from the 50 sampling sites in 1986. The results were as follows; 1. In the average contents of Cd, the highest value was 0.33mg/kg in the Industrial area, the lowest value was 0.06 mg/kg in the Greenbelt and 0.10-0.22mg/kg in the other areas. 2. In the average contents of Cu, the highest value was 33.46mg/kg in the Industrial area, the lawest value was 3.79mg/kg in the Greenbelt and 4.69-12.21mg/kg in the other areas. 3. In the average contents of As, the highest value was 1.80mg kg in the Residential area, the lowest value was 0.43mg/kg in the Greenbelt and 0.64-1.65mg/kg in the other areas. 4. In the average contents of Zn, the highest value was 29.84mg/kg in the out wall of Seoul, the lowest value was 17.32mg/kg in the Greenbelt and 19.62-26.71mg/kg in the other areas. 5. In the average contents of Pb, the highest value was 17.09mg/kg in the Industrial area, the lowest value was 5.21mg/kg in the Reclamated waste and 5.67 -14.10mg/kg in the other areas. 6. Distribution of Heavy metals was Zn>Cu>Pb>As>Cd and the relations of Zn-Cd, Pb-Cd, Pb-Cu, Pb-Zn were shown the correlation significantly (P< 0.01).

• Journal of Environmental Science International
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• v.29 no.2
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• pp.177-189
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• 2020

We analyzed the recent characteristics of Particulate Matter (PM) including PM₁₀ (PM with diameter of less than 10 ㎛) and PM_2.5 (PM with diameter of less than 2.5 ㎛) observed in Busan metropolitan area, and compared them with those measured in Seoul metropolitan area. This analysis includes the monthly, seasonal, and annual variations and differences, in emissions and chemical compositions observed in both Busan and Seoul areas. Synoptic meteorological conditions were investigated at the time when high PM concentrations occurred in each of the two areas. The results showed clearly decreasing trends of annual mean concentrations with strong seasonal variations: lower in summer and higher in winter in both areas. In comparison with Seoul, the seasonal variation in Busan demonstrated relatively lower, but showed greater summer fluctuations than in Seoul metropolitan area. This is implying the importance of secondary generation of PM in summer via active photochemical reaction in Busan area. In high concentration days, Busan's chemical composition of sulfate was higher than that of nitrate in summer, whereas nitrate was higher than sulfate in Seoul. The ratios of NO₃^- to SO₄^2-(N/S ratio) showed lower in Busan approximately by a factor of 1/2(half of N/S ratio) in Busan compared with that in Seoul. Others such as synoptic characteristics and emission differences were also discussed in this study.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.1-8
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• 2020

This study analyzed the different needs between the after-school programs of elementary schools in metropolitan and non-metropolitan areas to understand the areas that need addressing to meet with the requisites of the programs. To this end, this study conducted a survey among teachers with experience in after-school management (n=233), and the needs and performance recognized by teachers were analyzed in the IPA model matrix. To sum up the results, 'Online educational infrastructure', 'Efficient administrative operation', and 'Supply of professional after-school instructors' were identified as the prior needs in metropolitan area. On the other hand, non-metropolitan area, 'Supply of professional after-school instructors', 'Quality educational contents', and 'Online educational infrastructure' were identified as the prior requisites to be addressed. Based on research findings, the study suggested implications in developing and implementing related policies. Research findings will be expected to refer as baseline data for activating after-school online program operations and improving its programs to meet with the different needs of regions.

• Asian Journal of Atmospheric Environment
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• v.6 no.2
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• pp.111-117
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• 2012

To establish area specific control strategy for ambient ozone in the Seoul Metropolitan Area (SMA), the maximum ozone concentration in each local government district in the SMA were estimated by using the OZone Isopleth Plotting Package for Research (OZIPR) model. The modeling period was June 2000 and the emission inventory data used were from National Institute of Environmental Research (NIER). Except the islands of Incheon, whole Seoul and Incheon areas were volatile organic compounds (VOCs) limited, i.e., decreasing the oxides of nitrogen ($NO_X$) emission alone may increase the maximum ozone concentration upto certain point. In Gyeonggi, 12 areas were VOCs limited while 12 areas were in between VOCs limited and $NO_X$ limited, i.e., decreasing both $NO_X$ and VOCs emission may decrease the maximum ozone concentration. Majority of the estimated ozone values were lower than the measured values. The reason could be inaccuracy in emission inventories and/or transport from other areas. The same calculation was carried out for June 2004 and it was found that Seoul was still in the VOCs limited condition.