• Journal of the Korean association of regional geographers
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• v.11 no.2
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• pp.187-210
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• 2005

The purpose of this study is to examine the spatial characteristics of the longevity phenomenon and long-live areas in Korea where a rapid aging process is undergoing. Population data from 1966 to 2000 at the county level are analyzed to understand aging process and changes of longevity degree by regions. The relationship between the degree of longevity and a region's natural environments and distance to a metropolis has been analyzed to understand regional factors of longevity. The findings from the study are summarized as follows. Firstly, the rural regions in Honam show the highest degree of longevity in the nation. Secondly, the areas of the high degree of longevity has recently shifted and/or expanded from the islands and seashore areas of southwestern region to inland mountainous areas around Soback Mountain. Southern islands and seashore regions used to show the nation's highest degree of longevity in the 1970s. Thirdly, the analysis of regional environment factors indicated that longevity has more related to a precipitation and an average altitude than temperature. Fourthly, in order to identify the longevity factors in urban areas, social and economic factors should be considered beyond the natural environmental factors.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.803-803
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• 2012

최근 선진국에서는 지역사회의 지역특성, 대비능력 등을 토대로 맞춤형 재난 대비책을 마련하여 시행하고 있다. 이는 중앙정부의 한정된 자원을 효율적으로 배분하고, 지방정부는 지역의 취약성을 파악하여 구체적 적응정책의 방향성 제시를 가능하게 한다. 우리나라 역시 재해위험에 대한 각 지역의 방재능력을 여러 가지 방법으로 진단하고 있으나 대부분 지역의 인구, 재정력, 시설, 인력, 자원 확보 및 계획 등 정량적 정보만을 종합하여 위험도를 진단하고 있어 재해위험에 대한 지역민과 지역사회가 느끼는 취약성을 제대로 반영하지 못하고 있는 실정이다. 이에 본 연구에서는 홍수 취약성 개념 틀을 정의하고 지역사회를 기반으로 취약성을 평가할 수 있는 홍수피해저감지수(Flood Disaster Risk Reduction Index, FDRRI)를 개발하였다. FDRRI는 지형적 기상적 요인을 고려한 홍수노출지표, 사회적요인과 과거피해 요인을 고려한 민감도지표, 지역안전도 피해저감능력지수를 고려한 피해저감능력지표, 지역민의 대비능력을 나타내는 지역사회대비능력 지표를 결합하여 평가된다. 특히, 지역사회대비능력지표는 지역민 설문조사를 통해 지역민의 역량을 정량화한 것으로 본 연구에서 처음으로 도입한 것이다. FDRRI의 적용성 검토를 위해 지형적 특성, 홍수피해정도 등을 고려하여 낙동강 유역의 경북 봉화, 김천, 경남 고성, 김해를 시범지역으로 선정하고 FDRRI를 산정하였으며 타당성을 검증하였다. FDRRI는 홍수위험에 대한 지역의 저감능력을 잘 반영하고 있으며, 지역별 맞춤형 저감대책 및 지역사회가 참여한 지속가능한 재난관리 정책 수립 등에 활용될 수 있을 것으로 기대된다.

• Korean small business review
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• v.42 no.4
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• pp.285-308
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• 2020

This paper analyzes the factors which affect University professors and students on their startup activities, such as (a) University factors: their industrial cooperation organization and systems, their resources for startup support, their knowledge assets, and (b) socioeconomic characteristics in which Universities are located. We used the data and information from the University Information System and the National Statistical Office Publication to analyze 157 4-year Universities in Korea who uploaded their startup-related information on the system. Our analysis shows that Universities' systems, such as the term for Professors' leave of absence for startup activities, and their amount of knowledge assets affect the number of Professor startups significantly positively, while there is no significant effect on their performance, in terms of sales, from those factors, except for the amount of patents that the University has. In the meantime, the number of practical startup courses, the number of startup clubs, and the number of professor startups in the University affect the number of student startups, while the size of industrial cooperation body, the amount of knowledge asset, the area's socioeconomic characteristics didn't affect their performance. The result implies that we need to take different approaches to boost University professor startups and their student startups: better system and more knowledge for the former, more practical courses and programs for the latter. Further study is needed to get a more robust result because this analysis used only one year data, and personal trait data was not included in the analysis. A panel data analysis for several years is recommended for further research.

• Journal of Navigation and Port Research
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• v.44 no.4
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• pp.312-318
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• 2020

The purpose of this study was to activate marina development by empirically analyzing the development determinants of the marina, to provide the basic date for the effective implementation of 'the 2nd Marina Port Basic Plan' and marina industrial development. To accomplish the study goal, the survey was conducted with 356 locals residing in five marina development regions of three districts. The factors relative to the marina development included general characteristics such as age, income level, interest group, residential area, and the reasons of conflicts such as collectivism, exclusion from the development process, and the environmental problems. The marina development pros and cons (approval or opposition) and marina development conflict types (profit or value conflict) were used as the dependent variables. The following results were obtained by using the SPSS 25.0 statistical program to perform the technical statistics, factor analysis, reliability analysis, and logistic regression analysis. First, as a result of analyzing the marina development pros and cons, age, income level, interest group, residential area, and residence period among demographic characteristics were significant. Second, the factors of collectivism and exclusion of development process among the causes of conflict were significant. Third, age, income level, and residential area among demographic characteristics were significant factors.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.15-25
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• 2006

This study was to investigate the impact of region-wide travel pattern on local fiscal capacity in the Seoul metropolitan area. The study adopted both factor analysis and regression modeling for it, while using fiscal-and travel-related variables as well as urban characteristics determining travel patterns. We used the former method to compress independent variables of travel and urban characteristics because of strong correlationship between them. Four factors identified by the analysis output were adopted in regression models with some dependent variables representing local fiscal capacity. Their results resulting from both analyses showed that local fiscal inequality within the metropolitan area is driven by region-wide travel Patterns such as total trips. inner trip ratio, and the ratio of trips from and to the Seoul city.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.917-930
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• 2021

Recently, as part of the crime prevention measures that focus on spatial characteristics on the determinants of crime-causing, interest in crime prevention (CPTED) through environmental design has been increasing. This study analyzed crime vulnerabilities in Ulju-gun for the purpose of establishing a master plan for crime prevention urban design (CPTED). The 12 indicators, including demographic, socioeconomic, and physical factors, were sampled from prior studies. As a next step, statistical analysis resulted in criminal vulnerability indexes. According to the analysis, districts with a high demographic crime vulnerability indexes were concentrated on apartment complexes, while districts with high socio-economic crime vulnerability indexes have low land prices and high proportion of female population. Also, the districts with high physical crime vulnerability indexes were found to be heavily distributed commercial ones with a large number of entertainment places. However, there was a limit to generalizing the indicators of previous studies to local governments with different regional characteristics. Therefore, further studies should be carried out by establishing additional indicators considering regional characteristics in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4543-4550
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• 2012

The purpose of this paper is to suggest the improvement method to achieve the interactive development effect between high-tech industrial complex and its surrounding areas. For this reason, this paper has conducted an empirical analysis to find out relevant comprehensive factors, affecting nearby housing prices from such plans, especially by reviewing 'Seoul Digital Industrial Complex.' This paper is truly differentiated from previous research by adding a new perspective 'diverse location characteristics', as it focuses not only on 'high-tech facility' characteristics, but also on 'urban function facilities', including 'transportation facilities', 'amenity facilities', 'security facilities', etc. Then, SPSS Version 18.0 was utilized to conduct the multiple regression analysis with the accumulated relevant data and several results were drawn out as following: Firstly, 'deterioration level', 'brand of apartment', etc. are found to be major influencing factors. Secondly, 'educational facilities', 'transportation facilities', 'Cultural & Sports facilities', 'Amenity facilities', etc. are found in the sector of 'location characteristic'. Lastly, 'leading companies within the industrial complex', were also found, affecting nearby housing prices. Therefore, when a housing development project is planned to grant the interactive development effect to high-tech industrial complex and its surrounding housing areas, it is necessary to consider variety factors, such as comprehensive location characteristics and housing complex characteristics, and also proper housing policy measures should be devised in accordance with the actual demand of employees and their dependant family members.

• Journal of the Korean Regional Science Association
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• v.34 no.2
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• pp.35-47
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• 2018

This research aims to examine the spatial patterns of vacant housings and the factors determining housing vacancy in Daegu using individual-level building DB. The results of the spatial pattern analysis showed a donut shaped-spatial concentration of vacant housings in the central areas of the city. The results of logistic regression analysis revealed that not only individual building characteristics, such as building area, number of floors, and building age, but also socio-economic characteristics of community, such as urban redevelopment district, number of adjacent vacancies, recent population change, and ratio of elderly, are important factors affecting housing vacancies.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.3
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• pp.725-735
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• 2015

The aim of this study is to specifically understand the officetel market by empirical analysis for the determining factors that affect determining the price of the officetel in Busan. In my opinion, it can help officetel providers to select the appropriate size and location that analysis for the factors determining officetel price with market price, and also it can help customers officetel to choice depending on the purpose. So I was conducting this study. In this study, I analyzes the factors determining the price of Officetel using a OLS linear regression, semi-log model, and a robust regression-Busan area Officetel Real Transaction Price as the dependent variable and factors representing the physical characteristics, locational characteristics and regional characteristics as independent variables.

• The Korean Journal of Community Living Science
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• v.16 no.3
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• pp.133-141
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• 2005

본 연구는 연변 지역 조선족 여자 대학생을 대상으로 의복태도에 따른 의복구매동기를 조사함으로써 소비자의 심리적 특성을 밝히는데 그 목적이 있다. 2002년 5월에서 6월 사이에 300부의 설문지가 중국 연변 지역의 여자 대학생에게 배부되어 248부의 설문지가 최종적으로 분석에 사용되었다. 설문지는 5점 척도를 사용하였고, 통계처리는 SAS PC 프로그램을 이용하여 빈도, 요인분석, t-test를 하였다. 연구 결과를 요약하면 다음과 같다. 여자 대학생의 의복태도는 유행성, 유명상표지향성, 심미성, 정숙성의 네 요인으로 분류되었다. 각 요인 별로 요인의 평균값이 높은 집단과 낮은 집단으로 분류하여 의복태도에 따른 의복구매동기를 조사한 결과, 유행성${\cdot}$유명상표지향성${\cdot}$심미성${\cdot}$정숙성 네 요인 모두 각 요인 별로 평균값이 높은 집단과 낮은 두 집단 간에 유의한 차이를 나타내었다. 유행성요인에 높은 평균점수를 갖는 집단은 낮은 집단에 비해 멋진 외모나 새로운 유행을 추구하기 위해 의복을 구입하는 동기가 높았고, 미적요인에 높은 평균점수를 갖는 집단은 낮은 집단에 비해 실용적 이유보다는 사회적 모임이나 기분의 변화를 위하여 의복의 구매동기를 가졌다. 이러한 결과를 통하여 의복태도는 중국조선족소비자의 경우에도 의복구매행동을 예측하는 좋은 변수가 될 수 있으며 시장세분화를 위한 유용한 기준이 될 수 있음을 확인하였다.