• Korean Journal of Environment and Ecology
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• v.23 no.5
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• pp.460-470
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• 2009

The purpose of this research is to suggest appropriate directions for the desirable ecotourist attraction management through the investigation of the tourist's satisfaction with ecotourism in case of Geumgang birdwatching destination. This research focus on the identification of the determinants of the ecotourist's satisfaction and the estimated regression model. The results of this study for the tourist's satisfaction with the ecotourism are summarized as follows. First, as a result of the factor analysis of the tourist's satisfaction variables, five factors like 'knowledge information', 'experience', 'ecological value', 'guide service', 'facilities environment' are deduced. Second, as a result of the test of significance, the difference of the satisfaction with ecotourism in aspect of the tourist's demographic characteristics like age and academic background is confirmed to be statistically significant except sex. Third, the tourist's satisfaction with ecotourism appears to be positively correlative with the tourist's overall satisfaction.

• Korean Journal of Environment and Ecology
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• v.20 no.4
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• pp.374-390
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• 2006

The analysis of correlation between the 9 element (used as the classification standard of stream typology out of the 25 elements pertinent to the survey of hydromorphological structure) and both emerged benthic macroinvertebrate as well as vegetation indicated that the substrate diversity, curvature, and degree of development of the transverse bar had a high correlation with the species composition. Only COD concentration was found to have the statistically significant correlation with the distribution of benthos among the 12 aquatic and chemical elements. Specifically, the analysis of the biotic and abiotic factors in this study indicated that there was a statistically significant correlation between the sand river and cobble river in the positive(+) and negative(-) aspects, suggesting that there is a distinctive difference between the two types of rivers in terms of hydromorphologlcal structure and ecological characteristics. Therefore, the findings of this study imply that the consideration of a biotop is prerequisite for the evaluation of stream status regarding stream restoration or the ecological topology of streams.

• Journal of Korean Society on Water Environment
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• v.35 no.5
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• pp.425-431
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• 2019

Recently, people have been attracting attention to the good quality of water resources as well as water welfare. to improve the quality of life. This study is a papers on the prediction of benthic macroinvertebrate index (BMI), which is a aquatic ecological health, using the machine learning based CFS (Correlation-based Feature Selection) method and the random forest model to compare the measured and predicted values of the BMI. The data collected from the Han River's branch for 10 years are extracted and utilized in 1312 data. Through the utilized data, Pearson correlation analysis showed a lack of correlation between single factor and BMI. The CFS method for multiple regression analysis was introduced. This study calculated 10 factors(water temperature, DO, electrical conductivity, turbidity, BOD, $NH_3-N$, T-N, $PO_4-P$, T-P, Average flow rate) that are considered to be related to the BMI. The random forest model was used based on the ten factors. In order to prove the validity of the model, $R^2$, %Difference, NSE (Nash-Sutcliffe Efficiency) and RMSE (Root Mean Square Error) were used. Each factor was 0.9438, -0.997, and 0,992, and accuracy rate was 71.6% level. As a result, These results can suggest the future direction of water resource management and Pre-review function for water ecological prediction.

• Journal of People, Plants, and Environment
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• v.23 no.4
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• pp.433-443
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• 2020

Background and objective: The boom in urban agriculture has also resulted in the creation of many school gardens. With the increase in various hands-on education programs, people are interested in assessing the value of school gardens. This study was conducted to derive indicators for service value assessement of educational farming experience using school gardens. Methods: Through literature review, we selected assessment items and sub-factors. The indicators for evaluating the effectiveness of school gardens are classified using the Delphi method that involve a focus group experts. In order to increase the reliability and validity of the selected and classified items, an exploratory factor analysis was conducted. In addition, the relative importance and priority of each factor in each field were assessed using the analytic hierarchy process (AHP). Results: We classified the indicators into 4 criteria and come up with 13 items and 33 sub-factors in educational value, health value, economic value, and ecological and environmental value. Most of the items for the 4 value criteria derived were significant for assessing the value of agricultural experience services with content validity ratio (CVR) higher than 0.59 and reliability higher than .6 . In the value criteria, the experts rated educational value as the most important, followed by health value, ecological and environmental value, and economic value. In the assessment items, the most important was improvement of social functions. In the sub-factors, the most important was strengthening of ties (friendly interactions). Conclusion: Among the derived indicators assessing the value of school gardens, 4 criteria, 12 evaluation items and 29 sub-factors showed significance. The schematic index would be useful for the assessment.

• The Journal of Economics, Marketing and Management
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• v.12 no.2
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• pp.27-36
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• 2024

Purpose: As the number of vegetarians continues to rise in tandem with the development of consumer culture, a novel economic trend named 'Vegenomics' has surfaced. In addition, as interest in social and environmental sustainability such as health, environment, and animal welfare grows due to the COVID-19 pandemic, the alternative protein food market is expanding, focusing on plant-based alternative meat. Research design, data, and methodology: Therefore, this study aims to investigate the impact of the consumption value of alternative protein products on self-efficacy and purchase intention. This study collected a total of 187 questionnaires by conducting an online survey from May 1 to July 10, 2023, to verify the research model and hypothesis. The collected data were subjected to exploratory factor analysis, confirmatory factor analysis, and discriminant validity analysis using SPSS 20.0 and AMOS 20.0 programs for structural equation modeling. Results: The results of analyzing consumers' self-efficacy and purchase intention regarding the functional value, health-oriented value, ethical value, and ecological value of alternative protein products are as follows. First, among the consumption values of alternative protein products, ecological value was found to have a significant positive (+) effect on self-efficacy. Second, consumers' self-efficacy for alternative protein products was found to have a significant positive (+) effect on purchase intention. Conclusion: This study is anticipated to provide valuable insights for the formulation of effective marketing strategies for alternative protein products and the development of products that align with consumer needs.

• KIEAE Journal
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• v.4 no.4
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• pp.11-18
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• 2004

In this study, the measurement system was developed for the measurement of pollutants from building materials, and specimens were made with concrete, gypsum board, mortar and wall paper. Characteristics of VOCs and TVOC concentration and Emission Factor as a function of time were assessed, and the conclusion was drawn as follows. (1) From predicting TVOC concentration decrease of specimen 7 with the wall paper attached to the concrete, the graph may become linear by converting the value of y-axis into the log function, and the prediction equation can be expressed as $y=34906{\ast}e^{-0.0093{\ast}time}$. Moreover, chi-square value was 0.83 which is relatively high value, indicating that TVOC concentration can be properly predicted if the same materials are used indoors. (2) From predicting VOCs Emission Factor decrease of specimen 7, the prediction equation can be expressed as $EF=15111{\ast}e^{-0.0093{\ast}time}$, and chi-square value was 0.83. (3) From predicting TVOC concentration decrease of specimen 7, prediction equation can be considered to be $y=254323{\ast}(1-e^{-0.1046{\ast}time})$, and chi-square was 0.994 which is significantly high value, indicating that indoor TVOC concentration can be properly predicted if the same materials are used indoors. Furthermore, the prediction of concentration decrease using cumulative value of hourly measured concentration is considered to be more accurate than that using just hourly measured value directly. (4) From predicting Emission Factor decrease with cumulative hourly data of Emission Factor, chi-square appeared to be higher than that by just using hourly data of Emission Factor directly. Therefore, the prediction of Emission Factor with cumulative hourly data can provide more reliable prediction equation than the case by using just hourly concentration directly.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.2
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• pp.72-87
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• 2022

For the sustainable development and conservation of the national land, planned development and efficient environmental conservation must be accompanied. To this end, it is possible to induce development and conservation to harmonize by deriving factors affecting development through analysis of previously developed areas and applying appropriate management measures to areas with high development pressure. In this study, the relationship between the area where the land cover changed from forest to urbanization and various social, geographical, and restrictive factors was implemented in a regression formula through logistic regression analysis, and potential development sites were analyzed for Yongin City. The factor that has the greatest impact on the analysis of potential development area is the restrict factors such as Green Belt and protected areas, and the factor with the least impact is the population density. About 148km²(52%) of Yongin-si's forests were analyzed as potential development area. Among the potential development sites, the area with excellent environmental value as a protected area and 1st grade on the Environment Conservation Value Assessment Map was derived as about 13km². Protected areas with high development potential were riparian buffer zone and special measurement area, and areas with excellent natural scenery and river were preferred as development areas. Protected areas allow certain actions to protect individual property rights. However, there is no clear permit criteria, and the environmental impact of permits is not understood. This is identified as a factor that prevents protected areas from functioning properly. Therefore, it needs to be managed through clear exception permit criteria and environmental impact monitoring.

• Proceedings of the Korea Society of Environmental Biology Conference
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• 2003.06a
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• pp.1-5
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• 2003

In order to prepare a basis for ecological restoration of the Seoul Metropolitan area, ecological diagnoses on soil physico-chemical properties and vegetation structure were carried out. Land use patterns, actual vegetation, and biotope patterns were also investigated based on aerial photograph interpretation and field checks. I formulated landscape elements overlaying those data and evaluated the ecological value of each element. Soil pollution was evaluated by analyzing soil samples collected in each grid on the mesh map, divided by 2km $\times$ 2km intervals. Soil samples were collected in forests or grasslands escaped from direct human interference. Soil pollution evaluated from pH, and SO$_4$, Ca, Mg, and Al contents of soil was more severe in the urban outskirts than in the urban center. Those soil environmental factors showed significant correlation with each other. Vegetation in the urban area was different in species composition from that in suburban areas and showed lower diversity compared with that in the suburban areas. Successional process investigated by population structure of major species also showed a difference. That is, successional trend was normal in suburban areas, but that in urban areas showed a retrogressive pattern. The landscape ecological map of Seoul indicates that the urban center lacks vegetation and greenery space is restricted in urban outskirts. Such an uneven distribution of vegetation has caused a specific urban climate and thereby contributed to aggravation of air and soil pollution, furthermore causing vegetation decline. From this result, it was estimated that such uneven distribution of vegetation functioned as a trigger factor to deteriorate the urban environment. I suggested, therefore, a restoration plan based on landscape ecological principles, which emphasizes connectivity and even distribution of green areas throughout the whole area of the Seoul to solve this complex environmental problem. In this restoration plan, first of all, I decided the priority order for connection of the fragmented greenery spaces based on the distances from the core reserves comprised of green belt and rivers, which play roles as habitats of wildlife as well as for improvement of urban environment. Next, I prepared methods to restore each landscape element included in the paths of green network to be constructed in the future on the bases of such preferential order. Rivers and roads, which hold good connectivity, were chosen as elements to play important roles in constructing green network by linking the fragmented greenery spaces.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.236-248
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• 2014

The purpose of this study was to investigate the effects of human, social and cultural capital and ecological variables on volunteering among older adults. In this study, three variables of education, income and physical health were examined as human capital factors, two variables of formal and informal interaction as social capital factors, three variables of religion, cultural organization participation and quality of life as cultural capital factors, and three variables of existence of spouse, housing tenure and residence area as ecological factors. In addition, two variables of volunteering participation and continuous volunteering participation intention were considered as dependent variables. For this study, "Senior Job Replacement Project Participants" data collected by the Korea Labor Force Development Institute for the Aged were used and analyzed employing logistic regression analysis technique. This study found that three human capital variables(education, income, physical health) had positive effects on volunteering participation and continuous participation intention among older adults; of the two social capital variables, informal interaction had a positive effect on both volunteering participation and continuous participation intention, whereas formal interaction had a positive effect only on continuous participation intention; three cultural capital variables(religion, cultural organization participation, quality of life) had positive effects on both volunteering participation and continuous participation intention; and of three ecological variables, housing tenure and residence area had positive effects on volunteering participation and continuous participation intention, whereas existence of spouse had no significant effects on dependent variables.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.1
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• pp.1-14
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• 2017

A land cover map provides basic information to help understand the current state of a region, but its utilization in the ecological research field has deteriorated due to limited temporal and spatial resolutions. The purpose of this study was to investigate the possibility of using a land cover map with data based on high resolution images acquired by UAV. Using the UAV, 10.5 cm orthoimages were obtained from the $2.5km^2$ study area, and land cover maps were obtained from object-based and pixel-based classification for comparison and analysis. From accuracy verification, classification accuracy was shown to be high, with a Kappa of 0.77 for the pixel-based classification and a Kappa of 0.82 for the object-based classification. The overall area ratios were similar, and good classification results were found in grasslands and wetlands. The optimal image segmentation weights for object-based classification were Scale=150, Shape=0.5, Compactness=0.5, and Color=1. Scale was the most influential factor in the weight selection process. Compared with the pixel-based classification, the object-based classification provides results that are easy to read because there is a clear boundary between objects. Compared with the land cover map from the Ministry of Environment (subdivision), it was effective for natural areas (forests, grasslands, wetlands, etc.) but not developed areas (roads, buildings, etc.). The application of an object-based classification method for land cover using UAV images can contribute to the field of ecological research with its advantages of rapidly updated data, good accuracy, and economical efficiency.