• Journal of Digital Convergence
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• v.15 no.6
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• pp.513-523
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• 2017

The purpose of this study is to examine how career decision-making self-efficacy and ego-resilience of college students after military service influence college life adjustment. For this purpose, the questionnaire was administered to 234 male college students who returned to the four-year university in Jeonbuk area. The collected data were analyzed by correlation analysis and hierarchical regression using SPSS 18.0. As a result of examining the correlation between each variables, the subscale adaptation of college life adjustment and university environment adaptation showed a positive correlation with the goal selection of career decision self-efficacy and optimistic attitude of ego-resilience. Future plan of career decision-making self-efficacy, optimistic attitude of ego-resilience and personal-emotional adaptation of college life adaptation showed a positive correlation between self-evaluation of career decision self-efficacy and self-resilience confidence. As a result of hierarchical regression analysis, it was found that ego-resilience had more influence on college life adjustment than career decision self-efficacy. The limitations of this study were discussed along with the significance of this study, which was revealed through data collection only for students who came back after military service.

• Journal of Korean Society for Atmospheric Environment
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• v.28 no.3
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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.