• 디지털융복합연구
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• 제15권6호
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• pp.513-523
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• 2017

본 연구의 목적은 군복무 후 제대한 복학생의 진로결정자기효능감과 자아탄력성이 대학생활적응에 어떤 영향을 미치는지 검증하려는 것이다. 이를 위해 전북권에 소재한 4년제 대학교에 군복무 후에 복학한 남학생 234명을 대상으로 설문을 실시하였으며 수집된 자료는 spss 18.0을 사용하여 상관분석과 위계적 회귀분석을 실시하였다. 각 변인들 간의 상관관계를 살펴본 결과, 대학생활적응의 하위요인 학업적응과 대학환경적응은 진로결정자기효능감의 목표선택과 자아탄력성의 낙관적태도와 정적상관이 나타났으며 대학생활적응의 사회적응은 진로결정자기효능감의 미래계획과 자아탄력성의 낙관적태도 그리고 대학생활적응의 개인-정서적응은 진로결정자기효능감의 자기평가와 자아탄력성의 자신감 간에 정적상관이 나타났다. 또한 위계적 회귀분석을 실시한 결과, 자아탄력성은 진로결정자기효능감보다 대학생활적응에 더 많은 영향을 미치는 것으로 확인되었다. 군복무 후 복학한 남학생만의 자료 수집을 통해 밝힌 본 연구의 의의와 더불어서 연구의 제한점을 논의하였다.

• 한국대기환경학회지
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• 제28권3호
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• pp.233-248
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• 2012

The national emission from energy sector accounted for 84.7% of all domestic emissions in 2007. Of the energy-use emissions, the emission from mobile source as one of key categories accounted for 19.4% and further the road transport emission occupied the most dominant portion in the category. The road transport emissions can be estimated on the basis of either the fuel consumed (Tier 1) or the distance travelled by the vehicle types and road types (higher Tiers). The latter approach must be suitable for simultaneously estimating $CO_2$, $CH_4$, and $N_2O$ emissions in local administrative districts. The objective of this study was to estimate 31 municipal GHG emissions from road transportation in Gyeonggi Province, Korea. In 2008, the municipalities were consisted of 2,014 towns expressed as Dong and Ri, the smallest administrative district unit. Since mobile sources are moving across other city and province borders, the emission estimated by fuel sold is in fact impossible to ensure consistency between neighbouring cities and provinces. On the other hand, the emission estimated by distance travelled is also impossible to acquire key activity data such as traffic volume, vehicle type and model, and road type in small towns. To solve the problem, we applied a hierarchical cluster analysis to separate town-by-town road patterns (clusters) based on a priori activity information including traffic volume, population, area, and branch road length obtained from small 151 towns. After identifying 10 road patterns, a rule building expert system was developed by visual basic application (VBA) to assort various unknown road patterns into one of 10 known patterns. The expert system was self-verified with original reference information and then objects in each homogeneous pattern were used to regress traffic volume based on the variables of population, area, and branch road length. The program was then applied to assign all the unknown towns into a known pattern and to automatically estimate traffic volumes by regression equations for each town. Further VKT (vehicle kilometer travelled) for each vehicle type in each town was calculated to be mapped by GIS (geological information system) and road transport emission on the corresponding road section was estimated by multiplying emission factors for each vehicle type. Finally all emissions from local branch roads in Gyeonggi Province could be estimated by summing up emissions from 1,902 towns where road information was registered. As a result of the study, the GHG average emission rate by the branch road transport was 6,101 kilotons of $CO_2$ equivalent per year (kt-$CO_2$ Eq/yr) and the total emissions from both main and branch roads was 24,152 kt-$CO_2$ Eq/yr in Gyeonggi Province. The ratio of branch roads emission to the total was 0.28 in 2008.