• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.107-114
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• 2009

Human walking is essential and important mean of transportation. Pedestrian safety is recently important because accidents often happen while walking. This research is showing that Walking-environmental factors have effect on safety while walking. At first, exact 15 factors and conduct survey in the preceding research. After that, exact 4 important factors through factor analysis. At result of Multiple regression analysis, null hypothesis has proved to be true by satisfying therms which is F-value 9.211 and P-value 0.000. and come to the conclusion that walking-environmental factors influence pedestrian safety. 4 important factors can be listed by below. Pedestrian-road characteristic, landscape characteristic, commercial characteristic, walking characteristics by following influence. Especially, landscape characteristic and pedestrian-road characteristic can be vital factors.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.335-352
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• 2024

Purpose - Low fertility rate is a serious problem, and this study analyzes factors affecting total fertility rate using panel data from 16 metropolitan cities and provinces in Korea from 2000 to 2022. Design/methodology/approach - Estimating the SAR model considering the weak cross-sectional dependence that exists in variables related to the regional total fertility rate, and using the DKSE estimation method considering the strong cross-sectional dependence. Findings - Estimation results considering weak and strong cross-sectional dependence were similar, confirming the robustness of the results. Female labor force participation rate has a positive effect on total fertility rate, and employment rate has no effect. However, the interaction term is a negative (-) sign. Crude marriage rate has a positive effect on total fertility rate, and apartment price has a slightly positive effect. Environmental factor has no effect, and policy factor has a negative effect. Research implications or Originality - In order for an increase in the female labor force participation rate to lead to an increase in the total fertility rate, qualitative improvements in female employment must be made. Financial investment policies for childbirth must increase their effectiveness. The problem of low fertility rate requires not only population policy but also social, economic, cultural, environmental, and policy conditions to be considered.

• Hwankyungkyoyuk
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• v.21 no.2
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• pp.40-50
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• 2008

The purpose of this study was that verify the difference of pro-environmental behavior according to be present or not of experience environmental education for developing pro-environmental and show basic material to prepare efficient operation plans of experience environmental education is based on factor which effect of pro-environmental behavior difference according to the types. Elementary schools were divided through existence and nonexistence of an experience environmental education than I was checked up the pro-environmental behavior of students, who joined in different environmental educations each other. It was analysis by dividing into an environmental education of school, an educator (teacher, environmental-interpreter), and fields for environmental education (school inside and outside) to know types of experience environmental education. In result, elementary schoolers who experienced an experience environmental education at school class, had higher an environment-friendly behavior and elementary schoolers, who experienced an experience environmental education at class from environmental-interpreter, had higher an environment-friendly behavior by and large. As a result, this study showed that the area based on their residential quarter and an experience environmental education with realistic plans to connect with social environmental education for developing pro-environmental carrying out the most positive effect.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.23 no.4
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• pp.13-30
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• 2020

This study aims to analyze the qualitative and quantitative effects of environmental policies in terms of green space management using logistic regression model(LRM). Landsat satellite imageries in 1985, 1992, 2000, 2008, and 2015 are classified using a hybrid-classification method. Based on these classified maps, logistic regression model having a deforestation tendency of the past is built. Binary green space change map is used for the dependent variable and four explanatory variables are used: distance from green space, distance from settlements, elevation, and slope. The green space map of 2008 and 2015 is predicted using the constructed model. The conservation effect of Ulsan's environmental policies is quantified through the numerical comparison of green area between the predicted and real data. Time-series analysis of green space showed that restoration and destruction of green space are highly related to human activities rather than natural land transition. The effect of green space management policy was spatially-explicit and brought a significant increase in green space. Furthermore, as a result of quantitative analysis, Ulsan's environmental policy had effects of conserving and restoring 111.75㎢ and 175.45㎢ respectively for the periods of eight and fifteen years. Among four variables, slope was the most determinant factor that accounts for the destruction of green space in the city. This study presents logistic regression model as a way of evaluating the effect of environmental policies that have been practiced in the city. It has its significance in that it allows us a comprehensive understanding of the effect by considering every direct and indirect effect from other domains, such as air and water, on green space. We conclude discussing practicability of implementing environmental policy in terms of green space management with the focus on a non-statutory plan.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.4
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• pp.686-696
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• 2010

This study analyzes how the eco-friendly attitude and benefits pursued in clothing influence the purchase satisfaction of eco-friendly consumers for infants and children's underwear. The survey was conducted from June $1^{st}$ to $20^{th}$ in 2009, and 303 responses were used in the data analysis. A frequency analysis, factor analysis, reliability analysis, and multiple regression analysis were conducted for the statistical analysis. The results show that the eco-friendly attitude is classified by environmental concern, awareness of environmental consumption, and participation in the environmental movement. The benefits pursued in clothing are classified by fashion pursuit, brand pursuit, functional pursuit, personality pursuit, and economical pursuit. The awareness of the environmental consumption factor in the eco-friendly attitude influences the purchase satisfaction of eco-friendly consumers for infants and children's underwear. The fashion, brand, functional, and personality benefits pursued in clothing effect the purchase satisfaction of eco-friendly consumers for infants and children's underwear.

• Geomechanics and Engineering
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• v.19 no.2
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• pp.193-199
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• 2019

A frozen fringe plays a key role in frost heave development in soils. Previous studies have focused on the physical and mechanical properties of the frozen fringe, such as overall hydraulic conductivity, water content and pore pressure. It has been proposed that the thickness of the frozen fringe controls frost heave behavior, but this effect has not been thoroughly evaluated. This study used a temperature-controllable cell to investigate the impact of frozen fringe thickness on the characteristics of frost heave. A series of laboratory tests was performed with various temperature boundary conditions and specimen heights, revealing that: (1) the amount and rate of development of frost heave are dependent on the frozen fringe thickness; (2) the thicker the frozen fringe, the thinner the resulting ice lens; and (3) care must be taken when using the frost heave ratio to characterize frost heave and evaluate frost susceptibility because the frost heave ratio is not a normalized factor but a specimen height-dependent factor.

• Nuclear Engineering and Technology
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• v.55 no.2
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• pp.587-594
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• 2023

This study investigates the impacts of nuclear energy consumption on environmental quality from a different perspective by focusing on carbon dioxide (CO2) emissions, ecological footprint, and load capacity factor. In this context, the South Korea case, which is a leading country producing and consuming nuclear energy, is investigated by considering also economic growth, and the 1997 Asian crisis from 1977 to 2018. To this end, the study employs the autoregressive distributed lag (ARDL) approach. Different from previous literature, this study proposes a load capacity curve (LCC) and tests the LCC and environmental Kuznets curve (EKC) hypotheses simultaneously. The analysis results reveal that (i) the LCC and EKC hypotheses are valid in South Korea; (ii) nuclear energy has an improving effect on the environmental quality; (iii) renewable energy does not have a significant long-term impact on the environment; (iv) the 1997 Asian crisis had an increasing effect on the load capacity factor; (v) South Korea has not yet reached the turning point, identified as $55,411, where per capita income improves environmental quality. Overall, the results show the validity of the LCC and EKC hypotheses and prove the positive contribution of nuclear energy to South Korea's green development strategies.

• Journal of Korean Society for Atmospheric Environment
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• v.25 no.5
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• pp.450-458
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• 2009

The range-dependent overlap factor of a lidar system can be determined experimentally if a Raman backscatter signal by molecule is measured in addition to the usually observed elastic backscatter signal, which consists of a molecular component and a particle component. The direct determination of the overlap profile is presented and applied to a lidar measurement according to variation of telescope field-of-view and distance between telescope and transmitting laser. The retrieval of extinction coefficient by Raman method can generate high errors for heights below planetary boundary layer if the overlap effect is ignored. The overlap correction method presented here has been successfully applied to experimental data obtained in Gwangju, Korea.

• The Korean Journal of Community Living Science
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• v.28 no.2
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• pp.313-328
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• 2017

The purpose of this study was to analyze the role of perceived market influence, which is an important psychological factor influencing consumer behavior in the market, and explain how consumer beliefs related to the market can affect sustainable consumer behavior. First, this study found that gaps in perceived market influence were statistically significant for age and job. Second, environmental concern, organic food consumption (vegetables and meats), and purchase behavior of organic foods were found to be significantly different by degree of perceived market influence of consumers. The mean values were found to be high for the group having strong perceived market influence. This tendency suggests an association between higher perceived market influence consumers and more environmentally friendly consumer behavior. Lastly, this study used Structural Equation Modeling to analyze the effect of perceived market influence as a moderating variable and mediating variable on the relationship between environmental concerns and consumer behavior toward organic foods. The results show a mediating effect on perceived market influence, but a moderating effect could not be found. This result implies that perceived market influence might indirectly affect consumer behavior when transferring environmental concerns to consumer behavior toward organic foods.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1397-1407
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• 2015

Individual phenotype is mostly influenced by genetic factors as well as the effects of environmental factors. Therefore, adjustment of environmental factors are needed in order to see more clearly the effects of genetic factors that we are interested in gene screening study related to Hanwoo's economic trait. The purpose of this study is to propose new statistical model that was adjusted environmental factor and identify adjustment effect in a superior gene marker screening study for producing high quality Hanwoo. First, statistical model including both genetic factor and environmental factor establishes and adjusted value of economic trait find by removing effect of environmental factor such as age, breeding farm. Finally, we identify superior gene marker combination and compare accuracy by applying MDR to data of before and after adjustment. Economic trait is used C18:1, SFA, MUFA, MS, CWT, BFT and SNP marker is used 6 markers of LPL that were identified as more excellent SNP marker than the others among 49 markers through fatty acid composition and economic trait performance test.