• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.33-42
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• 2020

This study analyzed the bicycle traffic patterns and identified the influence factors for each traffic purpose using the household traffic conditions survey for Seoul. The results are summarized as follows. First, as a result of surveying the bicycle traffic ratios according to the administrative dongs, there was a difference of 14.2% by region. Second, various personal characteristic variables, such as age, gender, income, occupation, and housing type, affect the bicycle mode choice, and bicycle passage increases when using facilities in residential areas. Third, among the neighborhood environments, the bicycle traffic for commuting purposes appeared to increase more in the areas of higher land use mix and lower crime rates. In addition, the bicycle road density and the inclination of the area commonly affect bicycle travel for commuting, shopping, exercising, and leisure.

• Journal of Korean Society of Environmental Engineers
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• v.30 no.3
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• pp.302-313
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• 2008

The purposes of this study are to investigate the concentration levels of fine particles, so called PM$_{2.5}$, to identify the affecting sources, and to estimate quantitatively the source contributions of PM$_{2.5}$. Ambient air sampling was seasonally carried out at two sites in Pohang(a residential and an industrial area) during the period of March to December 2003. PM$_{2.5}$ samples were collected by high volume air samplers with a PM$_{10}$ Inlet and an impactor for particle size segregation, and then determined by gravimetric method. The chemical species associated with PM$_{2.5}$ were analyzed by inductively coupled plasma spectrophotometery(ICP) and ion chromatography(IC). The results showed that the most significant season for PM$_{2.5}$ mass concentrations appeared to be spring, followed by winter, fall, and summer. The annual mean concentrations of PM$_{2.5}$ were 36.6 $\mu$g/m$^3$ in the industrial and 30.6 $\mu$g/m$^3$ in the residential area, respectively. The major components associated with PM$_{2.5}$ were the secondary aerosols such as nitrates and sulfates, which were respectively 4.2 and 8.6 $\mu$g/m$^3$ in the industrial area and 3.7 and 6.9 $\mu$g/m$^3$ in the residential area. The concentrations of chemical component in relation to natural emission sources such as Al, Ca, Mg, K were generally higher at both sampling sites than other sources. However, the concentrations of Fe, Mn, Cr in the industrial area were higher than those in the residential area. Based on the principal component analysis and stepwise multiple linear regression analysis for both areas, it was found that soil/road dust and secondary aerosols are the most significant factors affecting the variations of PM$_{2.5}$ in the ambient air of Pohang. The source apportionments of PM$_{2.5}$ were conducted by chemical mass balance(CMB) modeling. The contributions of PM$_{2.5}$ emission sources were estimated using the CMB8.0 receptor model, resulting that soil/road dust was the major contributor to PM$_{2.5}$, followed by secondary aerosols, vehicle emissions, marine aerosols, metallurgy industry. Finally, the application and its limitations of chemical mass balance modeling for PM$_{2.5}$ was discussed.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.408-424
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• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.226-235
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• 2015

This study aims to explore effects of social exclusion on poverty of people who are 45 years old and over with disability. It also analyzed the difference between the urban and the rural area in relation to the effects of social exclusion on poverty. The researchers conducted a secondary data analysis using the fourth wave of Korean Longitudinal Study of Ageing. The sample included in this study was 640 people who were 45 years old and over with disability. Logistic regression results showed that urban residents who were younger, did not live with a spouse, were not at workforce, and lived in a rented house tended to be on welfare. For rural residents, on the other hand, only age and marital status were significantly related to poverty. Based on the findings, the researchers indicated political implications to diminish social exclusion and poverty of people with disability.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2007.05a
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• pp.134-136
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• 2007

익산공단 내에 입주해 있는 업종별 주요사업장에서의 배출원과 인근 도심에 산재한 일반 VOCs배출원들 중 일부 주요배출원에서의 시료를 canister로 채취한 후 악취 및 광화학산화물 생성에 연관된 주요 VOCs의 성분과 농도를 측정, 분석하였다. 또한 공단 중심부에 위치한 지점과 공단 외 지역 풍하 측에 위치한 인근 주거지의 환경대기(ambient air) 농도와 성분조사를 병행하여 조사지점 간의 배출특성을 분석, 공단 내와 인근 대기질의 VOCs의 성분과 농도 특성을 비교하였다. 분석된 측정자료에 의해 범용적으로 사용되고 있는 수용모델을 수행하였으며, 연구결과 추정된 배출기여도 분석은 공단지역의 주요 배출원이 주변지역에 미치는 영향을 파악하여 효율적인 배출원을 관리하고 지역대기환경을 개선하기 위한 기초자료로서 활용될 수 있을 것으로 기대된다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.265-267
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• 1999

이동 통신시스템을 시뮬레이션하기 위해서는 이동 통신에서 발생되는 호의 패턴을 분석하는게 매우 중요하다. 본 논문에서는 도시지역에 설치되어 있는 기지국의 지역특성을 고려한 이동 통신 통화량을 분석하여, 제시한다. 본 논문에서는 도시를 상업, 주거, 준공업 그리고 녹지 지역으로 되어 있는 도시계획 용도지역과 이외에 특이한 호 발생 패턴이 예측되는 역과 터널 주변이라는 6개의 지역으로 구분하고, 여기에 설치되어 있는 기지국으로부터 실제 데이터를 수집하였다. 이 자료를 이용하여 기지국이 설치되어 있는 지역에 따라 이동 통신 기지국의 시간대별 통화량 분포를 분석하였으며, 하루 중 통화량이 가장 많은 최빈시간대와 통화량이 가장 적은 최번시간대를 구하였다. 또한, 구해진 각 종 결과를 시뮬레이션에 적용하기 위한 평균값 및 분포값을 제시하였다. 이 파라메터들은 이동통신 시스템의 성능 및 신뢰성을 측정하기 위한 매우 중요한 값들이다.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.2
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• pp.225-239
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• 2011

The main purpose of this paper is to analysis the growth process of new emerging Korean society in Georgia, the USA by investigating changes in the regional distribution of Korean business located in metro Atlanta region. More specifically, it aims to identify the characteristics of spatial distribution of Korean business in metro Atalanta through their locational trends since 1980s. To this end, it has explored the history of Korean migration into Georgia and the locational trends of Korean firms in metro Atlanta by industries. As a result, the main location of Korean firms has expanded into the northeastern regions of Atlanta due to the development of transportation, new regional development, education environment and changes in residential distribution by ethnic. Also, the main Korean business has transformed from retails and restaurant to real estate and finance because of changes in market strategies, institutions and Korean local migration.

• Archives of design research
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• v.13 no.2
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• pp.133-143
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• 2000

Recently there are increasing demands for establishing its peculiar city image in Korea. In establishing a urban image, streetscapes of various functional regions in city have very important roles. And many streetscape were designed and are under design for that purpose. There are many factors involved in the image-generation of streetscape, and the facade is one of the most important factors. In this study, we surveyed many factors in the city-regions of various functions to find out desirable characteristics of facade for each region. And we are going to use there findings as a basic data in the future streetscape design. We selected traditional region(Insadong, Chongro-gu, Seoul), apartment-type residential region (Apkujung-dong, Kangnam-gu, Seoul), and newly developed-downtown (Dunsan-dong, Seo-gu, Daejun) as streetscapes of various functions for facade study. Texture, color, form, size, structure and location of the following facade components were surveyed and analyzed. The surveyed components were window, entrance, equipment, signboard, show window.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.10a
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• pp.143.1-143
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• 2003

본 논문은 브랜드 쌀 구매에 영향을 미치는 요인(factor)들이 소비자 특성에 따라 차이가 있는지를 분석하기 위한 목적으로 수행되었다. 분석을 위하여 서울시에 1,000명의 주부를 대상으로 설문조사를 실시하였으며, 그 주요 내용은 다음과 같다. 먼저 주부들이 쌀 구매에 영향을 미치는 11개 항목을 5점 리커르트 척도를 이용하여 분석하였다. 그 결과 소비자들이 가장 높은 점수를 부여하는 것은 쌀의 잔류 농약 정도로서 4.12점이 나왔으며, 영양가 높은 쌀(4.01점), 쌀알의 모양(3.96점) 및 쌀의 생산지(3.88점) 등의 순위가 높았다. 요인분석을 위해 고유치(eigen value) 값이 0.8 이상인 경우를 기준으로 요인 수를 분석한 결과 다섯가지의 요인이 추출되었으며, 그 특징은 유형적 차원과 무형적 차원으로 구분되었다. 전자인 유형적차원은 물리적 속성(완전미 여부, 도정일자, 잔류농약), 지역성(생산지), 외관성(크기, 모양) 및 가격성등의 가시적 차원으로 소비자가 쉽게 판단하거나 쌀간의 비교가 용이한 특성이며, 후자는 심리적 속성이나 상징성을 의미하는 것으로서 브랜드 상표와 품질 인증 마크가 가지는 신뢰성 등이 영향을 미치는 것으로 분석되었다. 무형적 차원인 식품의 안전성이 도시주부간 쌀 구매에 미치는 차별성을 알아보기 위하여 정규성 검정 결과에 따라 독립표본 T-검정을 실시하였다. 분석에서 도시주부가 특성별로 두 집단으로 구분되는 기준은 자의적 분류보다는 공통적인 기준을 이용하고자 평균값(나이, 학력, 소득, 동거가족 수)을 기준으로, 그 외의 경우는 더미변수(주부직업 유무, 주거형태 및 거주지역)를 이용하여 구분하였다. 식품의 안전성으로 추출된 요인 값의 평균에 대해 두 집단간 차이를 검정하였으며, 분석 결과 주거형태가 1％ 유의수준에서, 주부취업 여부 및 거주지역이 각각 5%유의수준에서 통계적 유의성이 있는 것으로 분석되었다. 반면 주부간 나이, 학력, 소득수준 및 동거가족 수에서는 유의미한 결과가 추정되지 못하였다. 본 연구결과를 볼 때, 식품의 안전성을 고려한 쌀의 마케팅 전략은 취업주부, 아파트 거주자 및 강남지역 주부들을 대상으로 한 판매활동 강화가 필요하다. 아울러 통계적으로 유의미한 결과를 나타내는 도시 주부의 특성 변수들을 세밀하게 구분해서 연구·분석하는 시장세분화 연구가 필요하다.

• Land and Housing Review
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• v.13 no.1
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• pp.55-65
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• 2022

This paper investigates the distinct characteristics of freehold and leasehold households living in the seven largest cities and the other areas. We employ the two-stage logit regression analysis to identify the marginal effects of wealth and income after controlling for the other one. We document the following results. First, households with more net wealth are more likely to reside in their own houses, regardless of living areas. Second, the pure income effect after controlling for wealth and other variables lowers the tendency of freeholders to live in the seven largest cities while increasing the tendency to live in the other areas. Furthermore, the income effects reduce the tendency to live in the former regions. Our results suggest that the pure income effects enhance preferences for a better living environment (e.g., larger spaces, better school districts, etc.), whereas the wealth effect increases the likelihood of freeholds.