• Journal of the Economic Geographical Society of Korea
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• v.1 no.2
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• pp.21-42
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• 1998

This paper aims at examining the regional comparison of the business organization of retailing in the Seoul and Taegu metropolitan areas, as an attempt to understand regional structure of retailing within metropolitan areas which represents the suburbanization. On the national level, retail sales have concentrated on larger metropolitan area, the Seoul metroplitan area, the first largest metropolitan area, having higher sales for population scale. While the Taegu metropolitan area, the third largest metropolitan area, appears to lower retail sales for population scale. In order to confirm such phenomenon, this paper is to analyze and to compare the industrial composition of retailing by industry in 1991 of Seoul with that of Taegu. And this paper is to analyze the regional comparison of business organization of retailing: the percents of establishments under four employees, of juridical establishments, of employees of ordinary times, the annual sales per establishment of retailing. And the characteristics of business organization of retailing by industry are analyzed by principal components analysis, and the explanation of the types with component in each district(city, county, ward) is analyzed by cluster analysis(Ward method). The data of 1991 were obtained from the statistics in the Report on Establishment Census(Vol.3 Wholesale and Retail Trade) published by the National Statistics Office. The results are as follows: 1. The composition of retailing by industry in Seoul metropolitan area by annual sales in 1991 is characterized as appeared very higher composition rates of retailing of textiles, clothing, footwear and apparel accessaries', ‘retailing of furniture, home furnishings and equipment’, retailing of jewellery and watches’, ‘retailing of printed matter and stationery’, ‘retailing of personal transport equipment and gasoline service stations’, and ‘general merchandise stores’. But in Taegu metropolitan area, ‘retailing of food, beverages and tobacco’, ‘retailing of drugs, cosmetics and other chemical goods’, 'retailing household fuel’, and ‘genernal retail trade, n.e.c.’appears very high. Therefore Seoul metropolitan area has larger business scale and retailing of shopping goods has developed than Taegu metropolitan area.

• Journal of the Korean Geographical Society
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• v.48 no.4
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• pp.533-544
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• 2013

The purpose of this study is to analyze how the commuting areas in the Busan metropolitan area have been changed during 2000~2010. For this purpose, I set the boundary of the Busan metropolitan area by using linkage indicators, and analyzed the changes of the commuting areas by using factor analysis. The commuting areas in the area were divided into four subregions, including East Busan, West Busan, Gimhae/Changwon, and Ulsan. The commuting area of West Busan has been shrinking, and the commuting network structure between Gangseo-gu/Buk-gu/Sasang-gu and their geographically adjacent Gimhae/Changwon has been gradually strengthened. This has resulted from the increase of reverse commuting from West Busan to Gimhae/Changwon. Ulsan has formed an independent commuting area in the area.

• Journal of Urban Science
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• v.9 no.1
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• pp.17-31
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• 2020

This study aims to analyze the relations among greenbelt, urban land surface temperature empirically in order to assess the environmental effects of the greenbelt in the Seoul metropolitan area, objectively. For this purpose, this study conducts an empirical analysis of impacts of greenbelt on urban land surface temperature using a multiple-regression model. The main data employed in the analysis include real-time air pollution data, Landsat 8-OLI Landsat imagery data, KLIS data and Jip-gye-gu data. The major findings are summarized as follows. NDVI has a negative (-) correlation with the land surface temperature, and the urban temperature is high in areas with poor vegetation. The land surface temperature is low in residential or commercial areas, while the temperature is high in industrial areas. The temperature is low in green fields, open spaces, and river areas. it is found that the urban land surface temperature is low in the greenbelt zone. In the greenbelt zone, there is an effect that reduces the land surface temperature by 1% on average, as compared to that at the center of the Seoul metropolitan area. Especially, the center of the Seoul metropolitan area, in a range from 0.6% to 1.9% of the average temperature, the temperature gets lower up to approximately 3km from the greenbelt boundary.

• Journal of Korean Society of Transportation
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• v.8 no.2
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• pp.55-66
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• 1990

The research deals with the establishment of transportation areas in the metropolitan cities. The purpose is three-fold ; 1) to review the existing literature : 2) to analyze the commuting (work and school) pattern and interregional movement pattern of passengers and freights ; 3) to establish the metropolitan transportation area based on the above analyses. The transportation area is defined by the analysis of trip pattern to the center city of each metropolitan area. The detailed indices for establishment are selected by the rank-size and time-distance analyses. For the operational purpose, the study defines 3 different transportation areas as follows : the first transportation area means the directly effecting region of the center city ; the second means the region with many reverse trips and development potentials ; and the third means the indirectly effecting region. It can be concluded that the first transportation area includes 10 cities and 5 counties in Seoul metropol tan region, Yangdsan-Gun, Kimhae-Gun and Kimhae-Si in Busan, Dalsung-Gun, Chilgok-Gun and Kyungsan-Gun in Daegu, Hwasung-Gun and Raju-Gun in Kwangju, and Daeduk-Gun in Daejun. These results could be expected to have many implications for the establishment of area-wide public transportation network, the metropolitan transportation decision-making bodies and others.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.217-226
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• 2006

The purpose of this study is to examine the characteristics of regional structure in metropolitan and surrounding areas in Busan metropolitan and Gyeongsang-Namdo. An analysis of urban growth factors with change process, that data suggests a urban management direction of Busan metropolitan and Gyeongsang-Namdo for the future. The findings of this study are summarized as follows: 1) factor analysis result 5 factors appeared, with this result use to cluster analysis of all 4 cluster. 2) The regional structure of Busan metropolitan and Gyeongsang-Namdo are accelerated know that is most industry connection areas concentration of southeast. 3) It is considered to regional development must be activated.

• Journal of Korean Society of Transportation
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• v.18 no.3
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• pp.7-16
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• 2000

Traffic congestion has become severe in large metropolitan areas by the travel behavior of employees as the low rate of vehicle occupancy and the high rate of Private auto using. In order to relieve traffic congestion, central and local government plan to implement diverse transportation demand management strategies. The governments want to know what employment types and locations in different metropolitan areas lead to the highest rate of vehicle occupancy and Private auto use. This study suggest that in large metropolitan areas, the employment locations of urban and suburban as well as the employment type of service show low vehicle occupancy. In medium metropolitan sizes. low vehicle occupancies are observed in service employment as well as in the employment locations of CBD. CBD fringe. In small metropolitan areas, a low rate of vehicle occupancy exists in service employment as well as in the employment locations of urban and suburban areas. A high rate of auto use shows not only in basic employment but also in the employment locations of CBD and CBD fringe.

• Research in Community and Public Health Nursing
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• v.23 no.1
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• pp.31-39
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• 2012

Purpose: The purpose of this paper was to compare community health status by region and to investigate related factors using community health and social indicators. Methods: Data were collected from statistics of local districts that were provided by KNSO and KCDC. ANOVA and correlation were analyzed using PASW 18.0. Results: The standardized cancer mortality rate was higher in metropolitan areas than in other areas. On the contrary, the mortality of respiratory disease, traffic accident, and suicide were higher in rural areas. Small cities and county districts showed higher prevalence in obesity prevalence than metropolitan areas. Metropolitan areas presented higher prevalence in alcohol drinking during the previous month, perceived stress, and seat belt use. The age-adjusted standardized mortality rate was correlated with higher prevalence of smoking, obesity, percentage of the elderly, number of beds, number of social welfare facilities, number of registered cars, lower percentage of financial independence, number of doctors, and percentage of water supply service & sewage. Conclusion: Since significant differences in mortality rate and prevalence of health risk behaviors exist between regional areas and the mortality rate was correlated with other social indicators and health indicators, health policies and social policies considering these differences should be develop and implemented to the communities.

• Journal of Agricultural Extension & Community Development
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• v.30 no.4
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• pp.229-241
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• 2023

This study aims to examine the farm household income and consumption structure change as well as farm income inequality. Data from the Agricultural Household Survey for the years 2016, 2021, and 2022 were hired to analyze farm income inequality by the Gini coefficient decomposition method. Results show that from 2016 to 2021, all income quintiles exhibited an increasing trend, but in 2022, income decreased across all quintiles. As a result of analyzing farm household consumption expenditure, consumption expenditure increased in all income quintiles in 2021 and 2022 compared to 2016, but consumption of optional goods decreased in the fifth quintile. In addition, it was found that farmers in the first quartile had higher consumption expenditures and expenditures on options than those in the second quartile. The analysis of farm income by region show that public subsidies increased significantly for general rural farmers than for farmers in special and metropolitan areas in all income quintiles during the period. In the case of the first quintile, farm household income in rural areas in special and metropolitan cities increased compared to general rural areas. In the fifth quartile, agricultural income and sideline income in general rural areas increased compared to rural areas in special and metropolitan cities, while rural areas in special and metropolitan cities increased non-business income compared to rural areas. Results of farming income inequality by income type show a steady decline in inequality from 2016 to 2022, indicating that the decreasing gini coefficinet of public subsidies is contributing to the decline in farm income inequality. Private subsidies and side income are shown to increase inequality.

• Journal of Korean Academy of Nursing
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• v.42 no.7
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• pp.1019-1026
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• 2012

Purpose: To examine geographical imbalances by analyzing new graduate nurses' migration patterns among regions where they grew up, attended nursing school, and had their first employment and to identify factors related to working in non-metropolitan areas. Methods: The sample consisted of 507 new graduates working in hospitals as full-time registered nurses in South Korea. Migration patterns were categorized into 5 patterns based on sequential transitions of "geographic origin-nursing school-hospital." Multiple logistic regression analysis was conducted to identify factors associated with working in non-metropolitan hospitals. Results: Nurses who grew up, graduated, and worked in the same region accounted for the greatest proportion (54%). Sixty-five percent had their first employment in the region where they graduated. Nurses tended to move from poor to rich regions and from non-metropolitan to metropolitan areas. Working in non-metropolitan hospitals was related to older age, the father having completed less than 4 years of college education, non-metropolitan origin, non-capital city school graduation, and a diploma (vs. baccalaureate) degree. Conclusion: Admitting students with rural backgrounds, increasing rural nursing school admission capacities, and providing service-requiring scholarships, particularly for students from low-income families, are recommended to address geographical imbalances.

• Land and Housing Review
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• v.15 no.2
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• pp.73-87
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• 2024

To evaluate the efficiency of commuting patterns, various commuting indicators such as excess commute and commuting potential utilized have been developed and used. It is crucial to calculate these indicators reasonably to reveal the differences in commuting patterns among metropolitan areas and to consider these in the process of formulating commuting policies. However, commuting indicators are generally calculated at the administrative district level, and thus, they are not free from the problem of the modifiable areal unit problem (MAUP). This issue can undermine the rationality of comparing commuting efficiency between metropolitan areas, making it necessary to handle the calculation of commuting indicators carefully. Therefore, this study utilises Monte Carlo Simulation to calculate optimal, actual, and maximum commuting distances, and thereby presents the excess commute and the commuting potential utilized. To apply Monte Carlo Simulation to the context of South Korea, a constrained Monte Carlo Simulation is conducted, where residential and workplace locations used in the simulation are selected based on the actual locations of buildings. The analysis is conducted on 13 metropolitan areas with established metropolitan plans using the 2016 Household Travel Survey data. The commuting indicators calculated through the simulation showed minimal differences compared to the results obtained through conventional methods. The comparison of commuting efficiency among metropolitan areas revealed that even if the degree of spafial balance between residential and workplace locations is similar, the actual commuting patterns can differ significantly. It is suggested that further research considering characteristics such as the area of each metropolitan region will be necessary in the future.