• Journal of Environmental Impact Assessment
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• v.28 no.6
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• pp.568-579
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• 2019

The present study aims to identify the effect of land cover categories on particulate matter (PM) concentrations by analyzing the correlation between monthly PM concentrations in Seoul's air quality monitoring network and the percentages of land cover categories by buffers around air quality monitoring stations. According to a monthly correlation analysis between land cover categories and PM concentrations, in the buffer 3km, PM₁₀ showed a better correlation than PM_2.5, there was a clear negative correlation with the forest area, the grassland and the urbanized area had some positive correlation with PM₁₀, and the barren land and the urbanized area had some positive correlation with PM_2.5. According to a monthly correlation analysis of dominant land cover sub-categories and sub-sub-categories within the buffer 3km, PM₁₀ showed a clear negative correlation with the broad-leaved forest, and some positive correlation with the road was dominant. PM_2.5 showed partly negative correlation with the broad-leaved forest and partly positive correlation with the commercial area. There was a very low or no correlation with other grassland and bare land subcategories. A monthly stepwise regression analysis on noticeable land cover sub-categories and sub-sub-categories with positive or negative correlations revealed that an increasing percentage of the broad-leaved forest had a clear effect on reducing PM₁₀ concentrations, and the road was excluded from the selected variables. Although an increasing percentage of the commercial area had some effect on increasing monthly PM_2.5 concentrations and an increasing percentage of the broad-leaved forest had an effect on decreasing the PM_2.5 concentrations, their effect size was smaller than that on PM₁₀. The forest area around the city center had the largest and clearest effect on reducing PM concentrations. The urbanized area's sub-categories and sub-sub-categories were also confirmed to have some effect on increasing PM concentrations.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.40 no.6
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• pp.563-569
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• 2020

Presenting the impact of meteorological disasters departs from the traditional weather forecasting approach for meteorological phenomena. It is important to provide impact forecasts so that precautions against disruption and damage can be taken. Countries such as the United States, the U.K., and France already conduct impact forecasting for heavy rain, heavy snow, and cold weather. This study improves and applies forecasts of the impact of heavy rain among various weather phenomena in accordance with domestic conditions. A total of 33 impact factors for heavy rain were constructed per 1 km grids, and four impact levels (minimal, minor, significant, and severe) were calculated using standard normal distribution. Estimated criteria were used as indicators to estimate heavy rain risk impacts for 6 categories (residential, commercial, utility, community, agriculture, and transport) centered on people, facilities, and traffic.

• Journal of Energy Engineering
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• v.14 no.2 s.42
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• pp.140-146
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• 2005

In this study, a quantitative environmental impacts assessment was performed for various power technologies with a lift cycle assessment (LCA) method. The LCA is regarded as a useful tool far analyzing diverse environmental impacts at a local, regional, and global aspect. The investigated power plants such as nuclear, coal, and LNC power systems were selected because they took share over $90\%$ of domestic elec-tricity supply in Korea. Furthermore, a wind power technology was included as a representative energy source out of Korean renewable energy systems. According to the three geological aspects, environmental impacts had been categorized into eight types. For these impact categories, characterization had been carried out for comparing environmental burdens of power systems under consideration. Then, normalization had been done in order to gain a better understanding of the relative size among impact categories.

• Journal of Environmental Impact Assessment
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• v.5 no.2
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• pp.33-47
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• 1996

To select the criteria, literature review was made in the quantitative case of conservation biology, foreign country's EIA and domestic ecology. Among them, a few factors was extracted. To applicate the criteria to domestic forest ecosystem, expert opinion survey was executed to the ecologist. The results were summarized as follows; 1. Classification of sites was made of land use system which is related to forest ecosystem or forest conservation. Sites are divided into 3 categories which are nature preservation area, seminature preservation area and urbanized area. Evaluation criteria is consisted of rarity and naturalness. 2. Each area had different criteria composition according to the site characteristics. Criteria of nature preservation area is rarity in the broad sense (distribution pattern of vegetation), vegetation size, successional stage and depth of organic matters. Those of seminature preservation area are rarity in the broad sense (distribution area of vegetation), vegetation size, successional stage, diameter at breath height and depth of organic matters. And those of urbanized area are vegetation distribution in area, successional stage, age of forest and diameter of breath height. The basic data of criterion was gathered by field survey. 3. Evaluation index and total naturalness index was obtained by adding the each criterion. It is made up of two categories-rarity and naturalness. TNi is divided into 3 grades. Grade I is more than 70% for TNi, grade IT is 50~70%, and grade III is below 50%. According to the each grade, permitted action and facilities were suggested.. This research just focuses on the evaluation of vegetation quality and the assessment results do not directly judge conservation or development. To make better evaluation criteria, various fields of forest ecosystem-geological or physical nature environment and fauna ecosystem etc. -will be added wholly to this research.

• Journal of the Korean Society of Earth Science Education
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• v.8 no.2
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• pp.206-217
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• 2015

The purpose on this study is to identify how effectively experiential learning involving eco-activities make changes in environmental literacy and scientific attitude of elementary students by categorizing those activities into 5 fields of "marine", "rivers", "ecosystem", "climate" and "recycling" and applying those scheme specifically to 5th graders in a elementary school. The conclusion of this study is following. Firstly, after scientific attitude are applied to subjects, a significant disparity was found between experiment group and control group throughout all parts of environmental literacy. In the cognitive category, each specialist concerning his or her own topic was invited to educate the students, and subsequently a positive impact was detected in the category of environmental issue knowledge. In behavioral category, having eco-activities made a significant disparity in all sub-categories of environmental function, active participation, saving activities, recycling activities and so forth. Secondly, experiential learning involving eco-activities made a significant disparity between the two groups in terms of Scientific Attitude, showing effectiveness in all sub-categories except curiosity.

• Asia pacific journal of information systems
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• v.19 no.1
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

• Korean Management Science Review
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• v.17 no.3
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• pp.97-118
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• 2000

This paper proposes an evaluation model for internet shopping mall business by defining its characteristics and evaluation criteria. We analyzed the characteristics of internet shopping mall business environments and classified the business into four major categories. We derived the evaluation criteria which can evaluated all categories comprehensively. The proposed criteria are cost, netizen, technology, transaction, and marketing, each of which gives a significant impact on the business profitability. Based on these criteria, a quantitative evaluation method was developed. We also proposed a penta-classification scheme which can be used to identify the overall characteristics shape of each internet shopping mall business site. An actual application of our evaluation model was illustrated in order to show that our proposed model may be used in the real business sites.

• ETRI Journal
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• v.43 no.2
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• pp.272-287
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• 2021

This article presents a multi-dimensional spatial pattern analysis of crime events in San Francisco. Our analysis includes the impact of spatial resolution on hotspot identification, temporal effects in crime spatial patterns, and relationships between various crime categories. In this work, crime prediction is viewed as a classification problem. When predictions for a particular category are made, a binary classification-based model is framed, and when all categories are considered for analysis, a multiclass model is formulated. The proposed crime-prediction model (HotBlock) utilizes spatiotemporal analysis for predicting crime in a fixed spatial region over a period of time. It is robust under variation of model parameters. HotBlock's results are compared with baseline real-world crime datasets. It is found that the proposed model outperforms the standard DeepCrime model in most cases.

• Journal of the Korean Society of Marine Environment & Safety
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• v.16 no.1
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• pp.49-55
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• 2010

Marine oil spill accidents not only devastates marine ecosystem but also Ins significant adverse socio-economic impact on local community whose living is dependent on clean marine system Although the Marine Environment Management Act of the Republic of Korea stipulates tim marine pollution impact survey must be conducted at the time of the oil spill, the articles do not provide specifics or concrete survey items for socio-economic impact assessment Moreover, there are redundancy questions in the provisions related to socio-economic impact assessment. This paper examined several difficulties encountered in carrying out the socio-economic impact assessment for marine oil spill as required in the law, and presented some recommendation., for the plan to improve the assessment mechanism systematically through the development of the research categories and indicators of socio-economic impact assessment.

• Journal of Distribution Science
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• v.18 no.4
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• pp.13-26
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• 2020

Purpose: In this study, we will explore how the attributes of the airline's advertising model affect the corporate image and brand loyalty and the medium effect of the corporate image. Research design, data and methodology: Data collection for empirical analysis of this study was conducted online for about seven months from Jan. 2 to July 12, 2019, and was confirmed as part 292 of the final effective sample and used for demonstration analysis. Results: The property of the advertising model shown to have a significant impact in corporate image and brand loyalty. The property of the advertising, reliability and professionalism shown to have an impact in the social responsibility, but attractiveness is its responsibility and brand loyalty. Corporate images have been shown to play a meaningful role in the impact of advertising models on brand loyalty. Conclusions: The attributes of the airline's advertising model are divided into four categories, and reliability has the most influence on the image of a company and the formation of brand loyalty. The impact of the attributes of the advertising model on the relationship between corporate image and brand loyalty was investigated through an empirical analysis, and several implications were derived.