Kim, Kiyoung;Park, Hyunju;Kim, Tschungil;Han, Mooyoung
Journal of Korean Society of Environmental Engineers
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v.36
no.5
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pp.333-341
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2014
To supply substitution water, $2m^3$ of capacity of rainwater harvesting system is designed calculating rainfall, catchment area and LPCD and has a effects to 34.4% of substitution water supply and 237 days of service day. Rainwater of drinking water quality was judged to be suitable except for bacteria problem, however, groundwater is exceeded in nitrate nitrogen, the evaporation residue and also bacteria, which means that the rainwater is suitable for use as water supply. In addition, to consider cost-benefit ratio, economic analysis conducted. The result is that B/C ratio of RWHS (10 years) is 1.70. It means total benefit is bigger than cost. Except to social factor in this study, there are a variety of benefit such as flood or drought prevention, educational effects inspiring water conservation awareness.
Purpose: This study examined whether the quality of life of parents of children with cerebral palsy is affected by the functions, activities, participation, and environmental factors using an ICF-CY check list. Methods: This study recruited in 26 parents of children with cerebral palsy. The functions, activities, participation, and environmental factors of the children were evaluated using ICF-CY checklist. To measure the quality of life of parents, this study used world health organization quality of life (WHOQOL-BREF), which was composed of a total of 26 questions. The GMFCS (gross motor function classification system) was used to assess the degree of disability in the children. Multiple regression analysis was performed to examine the effects of the ICF-CY checklist on the quality of life. Correlation analysis was performed to examine the correlation between GMFCS and WHOQOL. Results: The functions, activities, participation, and environmental factors were significantly different from WHOQOL-BREF. On the other hand, the contextual factor showed a significant difference in the neuromusculoskeletal and movement-related functions (b7), and service, systems, and policies (e5)(p<0.05). Conclusion: This study suggests that the functions and environmental factors affect the quality of life of parents of children with cerebral palsy. Therefore, these findings suggest that contextual factors, such as neuromusculoskeletal and movement-related functions (b7), and service, systems and policies (e5), which can be facilitators, should be considered for improving the quality of life of parents of children with cerebral palsy.
This study tries to test the research model that proposes the relationship among environmental fit, job satisfaction and job performance by hotel chefs' personality types. The sample for the study is 300 chefs extracted from eight five-star hotels in Seoul metropolitan area. Self-administrated questionnaires are distributed and 287 usable questionnaires are collected and used for the analyses. To test the hypotheses, MANOVA and stepwise regression analysis are used besides such basic analyses as frequency, descriptive, exploratory factor, reliability and cluster analysis. The study results show that environmental fit differs significantly by the hotel chefs' personality types and these personality types affect job satisfaction significantly. In addition, it is found that the hotel chefs' environmental fit influences their job satisfaction, which subsequently affects job performance.
Journal of the Korean Regional Science Association
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v.40
no.1
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pp.19-35
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2024
This research aims to compare and analyze changes in local physical environmental factors affecting mental health before and after the occurrence of COVID-19. The research question is: "Did the influence of environmental factors affecting mental health change after the emergence of the COVID-19 pandemic?" To examine the research question, the study considered the year 2019, right before COVID-19, and the year 2020, the year when COVID-19 occurred, as the temporal scope of the research. For the empirical analysis, we used multilevel logistic analysis was conducted using data from the Community Health Survey for each year and the National Statistical Office (KOSIS). The results can be summarized as follows: After the occurrence of COVID-19, physical environmental factors showed stronger associations with mental health compared to before the emergence of COVID-19. Specifically, it was found that park area per thousand people and the proportion of pedestrian-only road areas were further associated with a decrease in depression. Based on these findings, this study suggests the need for improving and constructing the physical environment in local communities for preventing mental health issues during disaster situations such as COVID-19.
Purpose: Smart farming is related to the low carbon certification system as it provides many opportunities to cultivate and manage crops in an eco-friendly, thereby reducing carbon footprint. However, there is a significant lack of consumer perception research on low carbon labels for smart farms vegetables. Therefore, this study aims to investigate consumer perceptions of smart farm vegetable and low carbon labels. Methods: This study manipulated cultivation type(general vs. smart farm) and low carbon labels (yes vs. no) as experimental stimuli. Measurement questions and the research model were validated through confirmatory factor analysis and reliability analysis. Hypotheses testing were conducted using SPSS 29.0, AMOS 28.0. Results: The results of the study showed no significant difference in consumers perceived naturalness based on cultivation types, and there was also no moderating effect of the low carbon label. There was no difference between environmental benefits and health benefits according to the cultivation type. Perceived naturalness had a significant effect on both environmental and health benefits, and environmental benefits showed a higher impact relationship. These benefits positively affected attitudes and willingness to pay a premium, Environmental benefits had a higher impact on attitudes, while health benefits had a higher impact on willingness to pay a premium. Lastly, attitudes were found to have a significant impact on the willingness to pay a premium. Conclusion: This study is valuable in that it investigated consumer perceptions of smart farms and low carbon labels that have not been previously studied. It compares the environmental and health benefits, confirming their influence on attitudes and willingness to pay a premium. The results suggest a potential expansion in academic research on smart farming and low carbon labels, offering practical insights for marketing strategies and policies for relevant companies.
KSCE Journal of Civil and Environmental Engineering Research
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v.9
no.2
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pp.1-10
/
1989
In this paper, dynamic response of a truss bridge due to constantly moving train loads is analysed. Dynamic response of the bridge is found by the mode superposition method with the solution of the eigenvalue problem by Householder transformation and QL algorithm. To prove the validity of the analysis procedure, the response due to a very slowly moving load is compared with the result from the static analysis program, and the dynamic response is also compared with the result from the direct integration method. Based upon this, the variation of dynamic amplification factors is investigated by changing the train types and speeds, and the result is compared with the code specified impact factor. From this study, it was known that the dynamic amplification factor is not quite different by train types in low speeds but in high speeds it is, and in the case of electric car and U. I. C. loads the factor could exceed the code specified impact factor depending upon the speed.
Purpose - In the airline industry, an airport plays an important role. There are a lot of employees who work at an airport, and most of the workers experience restraints regarding leisure activities. Thus, there is a need for studying the internal marketing in the airport to better serve the worker. Although there is a lack of well-structured research regarding the restrictions and satisfaction factors experienced by the airport employees for their leisure activities, this research studies how the restrictions and satisfaction factors influence each other in relation to the internal marketing in the airport. The purpose of this research is to provide a detailed, real time research method for studying the restrictions and satisfaction factors in relation to the internal marketing that are experienced by the airport employees regarding their leisure activities. Research design, data, and methodology - This survey was conducted for airport employees working in two shifts. The questionnaire is 152 copies. The analysis method was used as SPSS statistical package 21.0 and Netminer 4.0 program. Social networks were analyzed for leisure satisfaction and leisure restrictions. Results - As a result of analyzing the linkage between variables for leisure satisfaction, most of the variables of leisure satisfaction are satisfied with "psychological factor" and "social factor". However, "educational factor" and "environmental factor" are not satisfied. In order to improve the leisure satisfaction of airport workers in the future, it is necessary to have an environment where leisure activities can be performed and related education. As a result of analyzing the linkage between variables of leisure restrictions, most of the variables in leisure restrictions are "personal factors" and "temporal factors". However, there are few restrictions on "cost-efficient" and "environment-friendly". Conclusions - In the future, in order to reduce the leisure restrictions of airport workers, they need to reduce work stress, psychological time and leisure allowance for leisure activities. However, it is difficult to solve these problems due to realistic problems including the specificity of working at the airport. This research presents an interdisciplinary analysis of how the restrictions and satisfaction factors influence each other in order to further advance the understanding of the constraints and satisfaction that are experienced by the airport employees.
This study aims to identify more reasonable and efficient development plans to engage local university students in landscape improvement projects in rural areas. To survey university students, residents, administrators and experts involved in such projects on important considerations in this regard, SWOT analysis was employed to identify important factors, followed by analytic hierarchy process (AHP) to evaluate their relative importance, identify problems and suggest implications for improvement. The results are summarized as follows: the relative importance of the SWOT group was in the order of opportunity, strength, threat, and weakness. For each SWOT factor, the relative importance of strengths was in the order of students' aspiration and passion, availability of creative ideas and designs, and improved attachment to their community. The relative importance of weaknesses was in the order of the lack of spontaneous participation of residents, short preparation periods and insufficient budgets, and the lack of experience in similar projects. The relative importance of opportunities was in the order of young students' activity itself being a boost factor to the community, students' endeavors arising a consensus among residents, and students feeling a sense of duty as representatives of their school. The relative importance of threats was in the order of projects being one-shot, temporary events, immaturity, and differences in preferences between older and younger generations. To draw an overall ranking of the sub-factors evaluated, the overall relative importance of the decision-making factors was evaluated. Among the sub-factors for each SWOT group, young students' activity itself being a boost factor to the community as an opportunity factor was shown to be the most important, while the lack of experience in similar projects was shown to be the least important as administrators and experts made appropriate interventions in each stage.
KSCE Journal of Civil and Environmental Engineering Research
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v.34
no.6
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pp.1837-1844
/
2014
The study of safety culture estimate has received a wide attentions in many other industries, rather in the contexture of railroad stands at an initial phase. A factor analysis and internal reliability test were conducted to check if the survey results are reliable by looking at how the factors are dimensioned and how the questionnaires are sub-grouped in accordance with such factors, and further if there are any other common attributes being extracted as a new factor. The designed 5 factors were expanded to 7 through the test, and they were renamed accordingly. The questionnaires are reorganized according to the new 7 factors. It implicates that thorough investigation of the common attributes is important in reducing the gaps between interviewers' and interviewees' understanding. Moreover, the results of internal reliability test represent the new design of questionnaire is reasonably acceptable with the high reliable values. We expect such approaches can be applied for the railway culture survey study to be more reliable and applicable.
In this study, we analyzed the water quality characteristics of major tributaries of Nakdong River through statistical analysis such as correlation analysis, principal component and factor analysis, and cluster analysis. Organic matter and nutrients are highly correlated, and are high in spring and autumn, and seasonal water quality management is required. Principal component and factor analysis showed that 82% of total variance could be explained by 4 principal components such as organic matter, nutrients, nature, and weather. BOD, COD, TOC, and TP items were analyzed as major influencing factors. As a result of the cluster analysis, the four clusters were classified according to seasonal organic matter and nutrient pollution. Kumho River watershed showed high pollution characteristics in all seasons. Therefore, effective management of water quality in tributary streams requires measures in consideration of spatio-temporal characteristics and multivariate statistical techniques may be useful in water quality management and policy formulation.
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