• Journal of Environmental Impact Assessment
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• v.30 no.6
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• pp.339-354
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• 2021

The purpose of this study is to provide valuable information and data by analyzing the environmental status and potential forrenewable energy projects (or plans) based on environmental assessment (EA) data, so that more objective and scientific environmental assessments can be conducted. The study also suggests regional directions that could satisfy the goals of nature conservation and renewable energy. Based on the analysis of EA data that was conducted up until June 2019, the study analyzed the size, location and characteristics of both onshore wind power and onshore photovoltaic. The environmentally available potential by region was also derived by considering the main constraints and requirements related to the potential siting ofrenewable energy projects at the EA. Based on EA data, 63 out of 80 (79%) onshore wind power projects are shown to be located in mountainous areas. For onshore photovoltaic projects, a total of 7,363 projects were subjected to environmental assessment over the country. The environmentally potential area for onshore wind power, considering all the environmental regulatory factors, is 2,440 km². For onshore photovoltaic, the environmentally available area estimated as idle farmland is 2,877 km². The distribution and characteristics of the environmentally available potential of the region may be the most important factor that local governments should bear in mind in terms of promoting renewable energy development projects in the region. Based on the results of this study, even if we consider the national energy plan including the expected future increase, as well as environmental goals and socio-economic acceptance through an environmental assessment, the available resources forrenewable energy projects are not insufficient. It is possible to examine the adequacy of the target distribution rate of renewable energy sources by region taking into consideration the quantitative and scientific results such as the environmentally available potential data derived from this study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.207-219
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• 2016

Venture company refers to technology-intensive start-ups which is characterized by high high returns and risks to challenge new business to have new ideas and technology. These venture companies, ripple effect on the competitiveness of the national industry is large, and has emerged as a new industry that is able to overcome the difficulties of low growth, as an important element in regional development strategy, urban economy of not only activation, with a large impact on the regeneration and revitalization of the city that has lagged behind, has been recognized its importance. In this study, by investigating the influence of the Anyang city development strategy based on the location factor of venture companies for the activation of Anyang City urban development in satisfaction as an intermediary, empirically location of venture companies factor is trying to analyze the effect of parameters of Anyang city development strategy in relation to the satisfaction. Analysis method is to distribute the questionnaire were analyzed using the SPSS statistical program, the results are as follows. Location factors of venture companies, government support, transportation accessibility, venture integrated factors, it appears as four factors factors of support facilities, the analysis result venture firm location factors found to affect positive satisfied (+) It was. Secondly, in order to verify the parameter effects the result Anyang urban development strategy of using three steps regression analysis, as there is influence of the positive (+) mediated effect was investigated. These results, in order to increase the satisfaction of Anyang City, is not only the physical environmental elements, it is necessary to make the urban development strategies.

• Science of Emotion and Sensibility
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• v.14 no.3
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• pp.347-360
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• 2011

To find out characteristics of TV home shopping's virtual space deepness styling, this study had analysis characteristics of space deepness which is showed on flat TV screen with actually aired 6 dinnerware sales case, at $C^*$ home shopping, March.2005~November.2010, and survey consumer's emotional verbal image according to space styling character to get space deepness, which were shown on flat TV screen with camera angle, and research mutual relation with consumer preference. Also consumer's typical emotional verbal images for each space styling images for brand dinner ware sales had been extracted with reliability analysis, factor analysis, and multi dimensional scaling MDS using SPSS. Styling characteristics of space deepness were contrast of size, layering, vertical arrangement, and perspective arrangement, and used camera angles were bird's eye view, hi angle, and eye level. Result from the research is, highly marked consumer preferred styling material had a deep corelation to material's main factor and perceived emotional verbal images. Therefore this research could bring forward to new consumer preferred styling characteristics according to camera angle. Furthermore, it will be possible to make a study of preferred styling material through evaluation of quantitative spectators of in this area.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.1
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• pp.46-56
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• 2018

This paper aimed to identify main factors of community characters, which have an effect on the land surface temperature(LST) change and estimate the impacting coefficient(ratio) of factors in a significant level of statistics. Chungcheongbuk-do province was selected and then partitioned into city and county areas for the sake of convenience of modeling. LST time series data and the community character data were developed based on Terra Satellite MODIS data and collected from the National Statistical Office, respectively. By the cause and effect relationship between community characters and LST, regression coefficients were estimated using a penal model. In a panel modeling, LST and community characters were used as a dependent variable and explanatory variables, respectively. Panel modeling analysis was carried out using statistical package STATA14 and one-way fixed effect model was selected as the most suitable model to evaluate the regression coefficients in the study area. The impacting ratio of LST change by any explanatory variable derived from the regression coefficients of the panel model fixed. Impacting ratios for industrial areas, elevation ${\times}$ building, energy usage, average window speed, non-urban management area, agricultural, nature and environmental conservation, average precipitation were 3.746, 2.856, 2.742, 0.553, 0.102, 0.071 and 0.003, respectively.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.511-519
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• 2021

This study examined the perception of life felt by low-income people in middle-aged and elderly people by enhancing the population structure of Korea, which is entering an aging society. For the analysis, the variables that need from the 2019 welfare panel data provided by the Ministry of Health and Welfare were selected. The final 1,684 samples were selected from the panel samples of 14,918 people, from the '60-70s' of 'low income class', by removing the unresponsive and insincere samples. In particular, this study defined as a dependent variable as a 'ladder of life' measured in panel data, and analyzed the personal characteristics and life satisfaction factors affecting 'ladder of life'. As a result of the analysis, most of the personal characteristics were found to be influential factors of the "ladder of life" when considering only personal characteristics as an influential factor for the dependent variable "ladder of life". Also, as a result of examining the interaction effect on the economic state variable, there was no significant interaction effect. This shows that the health condition is more important than the economic condition as the influential factor on the ladder of middle-aged elderly people. Therefore, the recognition of the elderly 'ladder of life' should improve the awareness of the elderly's life by various 'environmental factors', both internal and external, rather than the personal conditions and environment of the elderly. In other words, a plan to present a positive alternative to their perception of life will be needed.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.91-121
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• 2008

Electronic commerce, commonly known as e-commerce or eCommerce, has become a major business trend in these days. The amount of trade conducted electronically has grown extraordinarily by developing the Internet technology. Most electronic commerce has being conducted between businesses to customers; therefore, the researches with respect to e-commerce are to find customer's needs, behaviors through statistical methods. However, the statistical researches, mostly based on a questionnaire, are the static researches, They can tell us the dynamic relationships between initial purchasing and repurchasing. Therefore, this study proposes dynamic research model for analyzing the cause of initial purchasing and repurchasing. This paper is based on the System-Dynamic theory, using the powerful simulation model with some restriction, The restrictions are based on the theory TAM(Technology Acceptance Model), PAM, and TPB(Theory of Planned Behavior). This article investigates not only the customer's purchasing and repurchasing behavior by passing of time but also the interactive effects to one another. This research model has six scenarios and three steps for analyzing customer behaviors. The first step is the research of purchasing situations. The second step is the research of repurchasing situations. Finally, the third step is to study the relationship between initial purchasing and repurchasing. The purpose of six scenarios is to find the customer's purchasing patterns according to the environmental changes. We set six variables in these scenarios by (1) changing the number of products; (2) changing the number of contents in on-line shopping malls; (3) having multimedia files or not in the shopping mall web sites; (4) grading on-line communities; (5) changing the qualities of products; (6) changing the customer's degree of confidence on products. First three variables are applied to study customer's purchasing behavior, and the other variables are applied to repurchasing behavior study. Through the simulation study, this paper presents some inter-relational result about customer purchasing behaviors, For example, Active community actions are not the increasing factor of purchasing but the increasing factor of word of mouth effect, Additionally. The higher products' quality, the more word of mouth effects increase. The number of products and contents on the web sites have same influence on people's buying behaviors. All simulation methods in this paper is not only display the result of each scenario but also find how to affect each other. Hence, electronic commerce firm can make more realistic marketing strategy about consumer behavior through this dynamic simulation research. Moreover, dynamic analysis method can predict the results which help the decision of marketing strategy by using the time-line graph. Consequently, this dynamic simulation analysis could be a useful research model to make firm's competitive advantage. However, this simulation model needs more further study. With respect to reality, this simulation model has some limitations. There are some missing factors which affect customer's buying behaviors in this model. The first missing factor is the customer's degree of recognition of brands. The second factor is the degree of customer satisfaction. The third factor is the power of word of mouth in the specific region. Generally, word of mouth affects significantly on a region's culture, even people's buying behaviors. The last missing factor is the user interface environment in the internet or other on-line shopping tools. In order to get more realistic result, these factors might be essential matters to make better research in the future studies.

• Journal of the Korean GEO-environmental Society
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• v.20 no.5
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• pp.13-21
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• 2019

There are many cuts or natural rock slopes that remain stable for a long time in the natural environment with steep slopes ($65^{\circ}$ to $85^{\circ}$). In terms of design practice, the rock mass consisting of similar rock condition and geological structures is defined as a good continuum rock slope, and during the process of decision making angle of this rock slope, it will be important to establish the geotechnical properties estimating method of the continuum rock on the process of stability analysis in the early stages of design and construction. In this study, the stability analysis of a good continuum rock slope that can be designed as a steep slope proposed a practical method of estimating the shear strength by induced from the Hoek-Brown failure criterion, and in addition, the design applicability was evaluated through the stability analysis of steep rock slope. The existing method of estimating the shear strength was inadequate for practical use in the design, as the equivalent M-C shear strength corresponding to the H-B envelope changes sensitively, even with small variations in confining stress. To compensate for this problem, it was proposed to estimate equivalent M-C shear strength by iso-angle division method. To verify the design applicability of the iso-angle division method, the results of the safety factor and the displacement according to the change in angle of the cut slope constructed at the existing working design site were reviewed. The safety factor is FS=16~59 on the 1:0.5 slope, FS=12~52 on the 1:0.3 slope, most of which show a 10~12 percent reduction. Displacement is 0.126 to 0.975 mm on the 1:0.5 slope, 0.152 to 1.158 mm on the 1:0.3 slope, and represents an increase of 10 to 15%. This is a slightly change in normal proportion and is in good condition in terms of stability. In terms practical the working design, it was confirmed that applying the shear strength estimated by Iso-angle division method derived from the H-B failure criterion as a universal shear strength for a good continuum rock mass slope was also able to produce stable and economic results. The procedure for stability analysis using LEM (Limit Equilibrium Analysis Method) and FEM (Finite Element Analysis Method) will also be practical in the rock slope where is not distributed fault. The study was conducted by selecting the slope of study area as a good rock condition, establishing a verification for which it can be applied universal to a various rock conditions will be a research subject later on.

• Journal of Korea Water Resources Association
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• v.56 no.9
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• pp.543-551
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• 2023

Snow is an essential climate factor that affects the climate system and surface energy balance, and it also has a crucial role in water balance by providing solid water stored during the winter for spring runoff and groundwater recharge. In this study, statistical analysis of Local Data Assimilation and Prediction System (LDAPS), Modern.-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), and ERA5-Land snow depth data were used to evaluate the applicability in South Korea. The statistical analysis between the Automated Synoptic Observing System (ASOS) ground observation data provided by the Korea Meteorological Administration (KMA) and the reanalysis data showed that LDAPS and ERA5-Land were highly correlated with a correlation coefficient of more than 0.69, but LDAPS showed a large error with an RMSE of 0.79 m. In the case of MERRA-2, the correlation coefficient was lower at 0.17 because the constant value was estimated continuously for some periods, which did not adequately simulate the increase and decrease trend between data. The statistical analysis of LDAPS and ASOS showed high and low performance in the nearby Gangwon Province, where the average snowfall is relatively high, and in the southern region, where the average snowfall is low, respectively. Finally, the error variance between the four independent snow depth data used in this study was calculated through triple collocation (TC), and a merged snow depth data was produced through weighting factors. The reanalyzed data showed the highest error variance in the order of LDAPS, MERRA-2, and ERA5-Land, and LDAPS was given a lower weighting factor due to its higher error variance. In addition, the spatial distribution of ERA5-Land snow depth data showed less variability, so the TC-merged snow depth data showed a similar spatial distribution to MERRA-2, which has a low spatial resolution. Considering the correlation, error, and uncertainty of the data, the ERA5-Land data is suitable for snow-related analysis in South Korea. In addition, it is expected that LDAPS data, which is highly correlated with other data but tends to be overestimated, can be actively utilized for high-resolution representation of regional and climatic diversity if appropriate corrections are performed.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.10
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• pp.756-766
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• 2011

In order to investigate the degree of apartment parking lot dust contamination, total 72 samples of parking lot dust (36 from ground parking lots and 36 from the underground parking lots) were collected in Daegu city from the end of March to the early June 2010. The dust samples were sieved below $100{\mu}m$, and analysed by ICP for 14 elements after an acid extraction. Results obtained from the source assessment of trace element using enrichment factor showed that Fe, K, Mg, Mn, Na and V were influenced by natural sources, while Cd, Cr, Cu, Ni, Pb and Zn were influenced by anthropogenic sources in both the ground parking lot and the underground parking lot. And results showed that Ca were influenced by natural sources in the ground parking lot, but influenced by anthropogenic sources in the underground parking lot. The measured values were remarkably higher in components from natural sources than in components from anthropogenic sources. Underground parking lot dust was more affected by anthropogenic sources and contaminated compared with the ground parking lot dust. Pollution index of heavy metals revealed that underground parking lot dust was 5.5 times more contaminated with heavy metal components than the ground parking lot dust. The results of correlation analysis among trace elements indicated that components in the ground parking lot were more correlated than those in the underground parking lot, and especially more correlated with natural sources-natural sources. Analysis for correlations between components and influencing factors in the underground parking lot showed that concentrations of heavy metals were higher with smaller number of parking spaces and no ventilation system, and older apartments in last paint and cleaning had relatively higher contents of heavy metals than those of recently painted and cleaned.

• Korean Journal of Environment and Ecology
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• v.26 no.3
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• pp.322-332
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• 2012

The objectives of this paper were to investigate home range, habitat selection, and threat factors of leopard cats (Prionailurus bengalensis) living in rural area of Korea. The results based on radio tracking of three leopard cats (two males and one female) can be summarized as follows. First, the average home range of leopard cats were $2.64{\pm}1.99km^2$ (Kernel 95) and $3.69{\pm}1.34km^2$ (MCP 100), and the average size of core areas was $0.64{\pm}0.47km^2$ (Kernel 50). The home range of a male leopard cat that radio-tracked in winter was the largest ($5.19km^2$, MCP 100). Second, the Johnson's habitat selection model based on the Jacobs index showed that leopard cats preferred meadows and paddy fields avoiding forest covers at the second level, whereas they preferred meadows adjacent to streams and avoided paddy fields at the third level. Finally, roadkill could be prime threat factor for the cat population. Therefore, habitats dominated by paddy fields, stream corridors with paved roads, and human settlements with insufficient forest patches could threaten the long-term viability of leopard cat populations. Thus the habitat managements for the leopard cat conservation should focus on the prevention of road-kill and the installation of wildlife passages in rural highways adjacent to stream corridors.