• The Korean Journal of Applied Statistics
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• v.25 no.5
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• pp.865-875
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• 2012

In this study, we identify the variables that affect the number of crime and spatial correlation in the Seoul metropolitan area, in addition, we measure the relative risk on the incidence of crime by a Poisson regression model. We suggest a statistical methodology to make a risk map for crime based on relative risk instead of the total event of crime by region using the Geographic Information System. To demonstrate the use and advantages of this methodology, this study presents an analyses of the total crime count in 25 wards in the Seoul metropolitan area.

• Journal of the Korean association of regional geographers
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• v.15 no.5
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• pp.572-589
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• 2009

To grasp the migration characteristics of the Busan metropolitan area(BMA), this study analyzed the change of population and households, and the migration at the intra-regional and inter-regional scales. The major findings of the study are as follows: First, the ratio of population and households of the BMA to the whole country has continuously decreased, especially those 25 to 39 years of age greatly decreased. Second, the ratio of intra-regional migration is relatively high, and the ratio of inter-regional migration is relatively low in the BMA compared to the Seoul metropolitan area. Thus, Busan seems to be less integrated with the urban fringe. Third, the out-migration towards the Seoul metropolitan area from Busan has increased, so that Seoul metropolitan area becomes to have more considerable influence upon the population decrease in Busan.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.3
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• pp.286-306
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• 2011

Based on the announcement by the National Competitiveness Council in 2008, this study analyzed the direction of the changing policy in Seoul Metropolitan Area promoted by the current government and to inquire into such the effect, research was done to study the changes in space demand by companies which respond sensitively to changes in regulation in Seoul Metropolitan Area. In addition, the effect of Seoul Metropolitan Area policy on company location is explored while company location changes and changes in direction of space demand due to easing of regulation in Seoul Metropolitan Area by the current government are examined. Research methods utilized empirical analysis and survey analysis. Empirical analysis utilized statistical data since 1980's. For survey analysis, the effect of changing policy in Seoul Metropolitan Area, which is an exogenous shock, on decision making of the enterprise is considered to derive the direction of demand for company manufacturing lots. The results of the study showed that decision for company location or factory size has been affected greatly by Seoul Metropolitan Area policy and domain regulation and institution to restrict permission area of a manufacturing building from the law of improvement plan of the Metropolitan area were the biggest regulatory policies. Due to easing of regulation in Seoul Metropolitan Area by the current government, the demand for manufacturing lot is expected to increase. In particular, the demand for manufacturing lot is expected to increase centered around Seoul Metropolitan Area and Chungcheong province while demand is expected to decrease in Gangwon province. The reason is because company preference is high for the Seoul Metropolitan Area which has the best transportation/logistics and market conditions in Korea. But in the case of Southeast region and Daegyung region that form exclusive economic zones, changing policy in Seoul Metropolitan Area has little impact. In the case of Seoul Metropolitan Area, demand increase does not occur in the entire area but instead, demand is expected to increase in growth management zones.

• Journal of the Korean housing association
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• v.23 no.2
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• pp.125-133
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• 2012

The purpose of this study was to explore characteristics and housing satisfaction of multifamily renter households in metropolitan areas using 2009 American Housing Survey public-use microdata. A total of 8,139 multifamily renter household residing in metropolitan statistical areas were selected for data analysis. The findings are as follows: (1) In comparison with other types of households in the metropolitan areas, multifamily renter households tended to show a smaller household size, younger householders, a greater proportion of households with householders who have never married, or have been widowed, divorced or separated; (2) housing cost related variables such as monthly rent or rent per square footage were found not to have significant influence on housing satisfaction of multifamily renter households in metropolitan areas; (3) factors influencing housing satisfaction of multifamily renter households with householder's age 34 years or younger were neighborhood satisfaction, householder's race, structure age and per-person unit size; and (4) neighborhood satisfaction was found to have the strongest influence on housing satisfaction of multifamily renter households in metropolitan areas.

• Transactions of the Korean Society of Automotive Engineers
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• v.3 no.2
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• pp.1-15
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• 1995

The driving patterns in Seoul metropolitan area were surveyed in an experiment involving 1,212km of driving along seventeen representative routes. The speed and fuel consumption data were recorded and the influence of driving patterns on vehicle fuel economy was analyzed by statistical techniques. The results showed that characteristics of driving in Seoul metropolitan area are far different from that of CVS-75 mode and then on-road fuel economy in Seoul may be small as compared with that of CVS-75 mode. Finally, it was proposed that CVS-75 mode fuel economy should be modified by applying adjustment factor to represent actual on-road fuel economy.

• Journal of Agricultural Extension & Community Development
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• v.17 no.4
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• pp.799-825
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• 2010

The purpose of the present study is to provide policy implications for successful development of the metropolitan economic zone in Korea followed by in-depth case studies on the US Metropolitan Economic Region. This study looked into diverse experiences of the US mega regions investigating their key strategies, requirements and standards, etc. Urban areas in the US are designated based on CBSA, a standard for statistical area since 1950. The US has a clear standard to define rural and suburban area and is trying to reflect urban structural changes including suburbanization. The US annexation system is relatively simple to operate. Furthermore, the system helps the growth of rural areas by gradually incorporating rural areas into urban areas. We found that action plans of the US mega regions facilitate strategic growth and development for balanced territorial development, incorporating multi-dimensional and comprehensive approaches. We also found that the US mega regions are designated with regard to the local natures. Couple of policy implications were extracted from the US experiences. First, since the construction of mega regions in Korea concerns less on the inter-regional connections with other regions, we need to incorporate diverse standards to divide the regions with respect to the spatial and local characteristics. Second, local governments should collaborate with each other for successful economic development of the metropolitan economic zones. Administrative districts renovation can be a immediate and effective solution to facilitate the collaboration. We recommended to consider consolidating administrative areas to construct successful metropolitan economic zones.

• Journal of Urban Science
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• v.9 no.2
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• pp.21-30
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• 2020

The purpose of this study is to present a plan to distinguish 229 local governments nationwide by taking into account various characteristics such as population, employment, housing, and industry of the region for customized urban policies in the era of metropolitan areas. The National Statistical Portal (KOSIS) collected and standardized data related to population, housing, industry, and finance by region from 2000 to 2015 for the classification of regional types necessary for customized urban policies, and this was used to classify them into regional types that considered population, employment, housing and industry. The summary of the analysis results is as follows. First, as a result of the regional type classification, 10 key employment sites (4.4%), 5 employment centers (2.2%), 38 residential centers (16.6%), 20 growth areas (8.7%), 26 industrial cities (11.4%), 35 low-fertile farming and fishing villages (15.3%) and 95 stagnant areas (41.5%). Second, the Seoul metropolitan area is the most diverse type of metropolitan area in the country, with most of its core employment sites inside Seoul, residential centers inside and outside Seoul, and growth areas in the southeastern part of the country (Busan, Ulsan, and Gyeongsangnam-do) are mixed with industrial and growth areas centered around Busan, Ulsan and surrounding areas, while the rest of the local governments are found to be low-fertile farming villages or stagnant areas. Daegu (Daegu, Gyeongbuk) is an industrial city in Daegu, and the rest of the local governments are either low-density farming and fishing villages or stagnant areas. The Honam region (Gwangju and Jeolla) was found to be a low-mill farming and fishing village or stagnant area except for Gwangju, while the Chungcheong region (Daejeon, Sejong, and Chungcheong) was seen as a growth area with areas adjacent to Daejeon, Sejong, and the Seoul metropolitan area, and some industrial cities were included. Finally, the Gangwon area was mostly classified as low-density farming and fishing villages and stagnant areas.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.1
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• pp.18-24
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• 2003

Vehicle emission is one of the major sources of air pollution, and provides some undesirable effects on the atmospheric environment and human health. In this study, the driving data were recorded during road tests in Seoul metropolitan wet and analyzed by statistical techniques. The objective of the study is to analyze the driving Patterns of passenger car that influence on emissions in urban driving. The results show that the average speed is around 29.2 km/h, and the average fuel economy is 10.23 km/$\ell$. The vehicle speed of Seoul metropolitan area is slower, and the stop-and-go operation is more frequent than CVS-75 test mode which is used far emission and fuel economy test.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.4
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• pp.205-214
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• 2012

This study investigated whether there were statistical differences in the three categories of cosmetics brand preference- brand preference, gift brand preference, and preference for purchasing expensive cosmetics by the consumers' residence. For the data analysis, the types of cosmetics include basic and color, the cosmetics brands include domestic and imported cosmetics. The consumers' residence include metropolitan and non-metropolitan areas. The study collected the data from 477 surveys from adult women ranging from the age groups of 20s to 50s and above in 2011. Using SPSS Version 18.0 the data was analyzed by Frequency analysis, t-test. The study results were as follow: There were significant differences in the three patterns of cosmetics brand preference depending on the consumers' residence. The three patterns of preferences were in the similar trends. The results revealed while the non-metropolitan residents showed a higher level for the domestic brands, a lower level in the three categories of preferences for imported brands compared to their metropolitan counterparts in both types of basic and color. In contrast, compared to the non-metropolitan counterparts, the metropolitan residents showed a lower level of preferences in all of the three categories of cosmetics brand preference for domestic in both types of basic and color.

• Journal of Environmental Impact Assessment
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• v.15 no.3
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• pp.193-206
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• 2006

Recently, high ozone episode occurred frequently in Korea. Moreover ozone episode occurred not only in the city but also in background area where local anthropogenic sources are not important. It analyzed frequency exceeding 100ppb ozone at air quality monitoring stations in Seoul and rural area during 1995-2004. This paper reports on the use of the Community Multiscale Air Quality (CMAQ) modelling system to predict hourly ozone levels. Domain resolutions of 30km, 10km, 3.333km (innermost) have been employed for this study. Summer periods in June 2004 have been simulated and the predicted results have been compared to data for metropolitan and rural air quality monitoring stations. The model performance has been evaluated with measured data through a range of statistical measures. Although, the CMAQ model reproduces the ozone temporal spatial trends it was not able to simulate the peak magnitudes consistently.