This study aimed to systematically adjust rural area development projects that have been carried out by a variety of government departments for activation of rural areas and overcome inefficient problems caused by the policies and projects promoted separately. As its alternative, this study aimed to explore efficient improvement scheme of rural villages associated with various projects. Major agriculture/rural policies and projects that have been promoted were classified by the target space of the policies and projects as Environment space, living space, and production space. Each space was categorized into five sub-items without duplication. By assessment results of rural area improvement level and preference by Analytic Hierarchy Process(AHP) method, maintenance of rural areas was classified into four types. And outer space structure was analyzed by using Space Syntax Method(SSM). Based on the analysis result above, facilities for improvement of rural villages were placed around representative facilities. Facility allocation was based on selection and concentration in terms of facility maintenance and on type attributes in terms of spatial aspects. And finally, alternatives schemes for setting up the basic direction of improvement of rural villages are local area characteristics and environmentally conscious business plan.
Pro-environmental life styles, foundations of a collective civilization and preservation of our tradition at rural communities hold a great public profit value, of which importance has been strongly emphasized during last decade. Here, the environmental color is one of the most influential elements that determine the image of the rural landscape. Whenever an alternative color element is introduced to rural town, it is very important to examine its effect on the existing environmental color. Typically, a preference-surveying method has been used to evaluate the suitability of such environmental color balance. However, we note that the reliability of this method is limited by the subjectivity of a respondent. And thus, it is highly desirable to develop a more objective method. We propose a feasibility study for using an aesthetic-measure to evaluate the environmental color of a rural town. In this work, we looked into the validity of our approach by comparing its result with that of the preference-based-method as a way to determine the environmental color. Our study is based on 20 photo images from Ansung-city Yangsung-myeon Donghang 2ri Kyo-dong town in Kyongki Province.
This survey was performed with 262 dwellers who live in the city from April 1 to 30, 2009. The following analysis methods were executed; frequency analysis, reliability analysis, factor analysis, and multiple regression analysis. This study analyzed the relationship between rural tourism motivation and rural experiential tourism program preference of city dwellers. Rural tourism motivations are novelty experience, advantageousness, self-attainment, aesthetics, deviation, relationship, relaxation, and nature-scenery. And rural experiences are divided into farmhouse life experience, traditional rural culture experience, outdoor activities experience, wellbeing healthcare experience. Authors found that rural tourism motivations affect rural experiential tourism program preference. So, authors argue that rural tourism needs market segmentation strategy.
Building a dam that is not considering the environmental impact and human social impact can cause the loss of entire ecospheres such as fragmentary green network, disturbance of plants ecosystem, the destruction of social and cultural indigenous resources, therefore, it can occur the environment change and distortion of ecosystem. The purpose of this study is that presenting the methods of ecosystem maintenance and ecosystem damage compensation about for environmentally direct impact i.e. the ecosystem change in the intended place for building a dam. According to the planning progress, the study was proceeded to planning site examine, assessment, conception plan. As the results of examine and assessment, it must be necessary to offered the maintenance and damage compensation if the site where include the 1st degree of biotope area, the 2nd degree of biotope and the 8th degree of green naturality area were damaged by being submerged and constructing road. In addition, according to the conception plan, we suggest the mitigation proposals such as plant communities transplant, planning of connecting green network against for influencing direct impact ecosystem that is destroying plant communities, damaging inhabitants, noise pollution, water pollution, etc.
Land cover and land use change data are important in many studies including climate change and hydrological studies. Although the various theories and models have been developed, it is difficult to identify the driving factors of the land use change because land use change is related to policy options and natural and socio-economic conditions. This study is to attempt to simulate the land cover change using the CLUE model based on a statistical analysis of land-use change. CLUE model has dynamic modeling tools from the competition among land use change in between driving force and land use, so that this model depends on statistical relations between land use change and driving factors. In this study, Yongin, Icheon and Anseong were selected for the study areas, and binary logistic regression and factor analysis were performed verifying with ROC curve. Land cover probability map was also prepared to compare with the land cover data and higher probability areas are well matched with the present land cover demonstrating CLUE model applicability.
This study aims to understand the degree of inequality of surveyed amenity resources and identify which resource and region have the highest concentration by estimating Lorenz Curve and the Gini's Coefficient. The Lorenz Curve and Gini's Coefficient derived from economics are introduced as tools for investigating and quantifying regional variability of amenity resources concentration. This study describes the concepts underlying the application of the Gini's coefficient to measure the concentration of amenity resources in 11 regions, Chungbuk Province, Korea. The Lorenz Curve presents a graphical view of the cumulative distribution of amenity resources and the Gini's Coefficient provides a single-parameter measure of the distributional concentration of amenity resources. Also the Gini's Coefficient is compared to the number of amenity resource for understanding distributional difference between concentration and quantitative distribution of amenity resources. The results demonstrate significantly different regional variation according to the amenity variables: almost intact nature, interaction between nature and man, man-made.