본 연구는 와첩 구성경관에 관한 이론정립과 와첩 관련 경관의 설계와 연출 근거를 제공할 목적으로 시도되었다. 이를 위해 중국 하남성 신양시 향촌경관을 사례로 SBE-SD법을 결합하여 와첩 경관에 대 한 경관미를 평가하고 선호요인을 규명한 것이다. 연구결과 와첩 구성경관에 대한 반응은 대부분 인 구통계학적 특성에 관계없이 일관적인 심미성을 보였지만 거주지 속성에는 차이를 보였다. 예술과 문화가치는 와첩 구성경관의 경관미에 긍정적인 영향을 주는 반면에 평면구성 및 색채구성의 복잡도 는 오히려 경관미에 부정적인 영향을 미쳤다. 다중회귀분석을 통한 와첩 구성경관에 대한 선호요인 을 추적한 결과 지역의 장소성 구현이 와첩 경관 연출의 우선적 고려사항임이 밝혀졌다. 또한 주변 경 관요소에 부합되는 척도 구성은 와첩 구성경관에 대한 결정적 선호요인으로 작용하였다. 그리고 와 첩 구성경관이 대부분 근경의 경관요소로 작용하는 것과 관련하여 기와(瓦) 자체의 질감은 긍정적 선 호요인으로 드러났으나 색채의 풍부도나 다양한 색상의 경관 연출은 경관미에 부정적 영향을 미치는 것으로 확인되었다.
본 연구는 시설원예단지의 경관개선점을 찾아보고 친환경적 조성방법과 생태계 서비스 기능이 최소화로 저감될 수 있는 방안제시를 목표로 했다. 연구결과 대부분의 평가요소에서 네덜란드, 일본 경관은 긍정적인 결과였으나 우리나라 경관은 다소 부정적으로 분석되어 비닐하우스는 일본을 유리온실은 네덜란드 경관으로 개선방향을 설정할 것을 제안하였다. 따라서 미래세대에 지속가능한 농업경관을 제공하기 위한 방안으로 생태계서비스 기능 중 경관창출을 고려한 친환경 온실단지 조성을 제안을 제안하였으며, 앞으로 추진될 대규모 간척지 개발 사업에도 본 연구가 활용되길 기대하였다.
For rural landscape management to run in virtuous circle, the present study has paid attention to the roles and activities of local residents and administration, which are the main sectors of managing landscape. In this respect, this study is aimed to arrange the roles of local residents and administration for landscape management and propose the basic data necessary to develope evaluation index for effectiveness of rural landscape policy. Key findings and implications are as follows. First, literature reviews of 18 landscape management studies found 37 administrative roles and 7 roles of local residents. And those roles were classified into 3 factors by similar concept: 'local government support system', 'landscape management planning', and 'promoting the participation of residents'. Second, two Delphi surveys were conducted with landscape experts to verify the validity of those evaluation items by sector. Third, factor analysis was carried out to analyze the hierarchical structure of those evaluation items. 3 sub-factors were extracted from 'local government support system' sector; 2 sub-factors from the 'landscape management planning' sector; and 4 sub-factors from the 'promoting participation of residents' sector. Fourth, the hierarchy of those evaluation factors was divided into high and low classes and sub-indexes were structured to examine the relative importance of each class and assign a relative weight on each index. The most important sub-factors were turned out as follows: 'local residents' will to practice landscape activities (0.112)', 'local government budget for rural landscape management (0.088), and 'restriction on buildings by village regulation (0.068). It indicates the viewpoints of the landscape experts that local residents' voluntary participation in landscape activities and agreement of local residents on landscape management by village, e.g. village regulation, are preconditions for successful landscape management. In addition, it is significant for a local government to secure the budget of landscape management to support local residents support.
This study has intended to build a rural landscape evaluation model based on an integrated landscape assessment paradigm of rural region using an additive integration index method and applied the model to the Seondong Region of Gochang-gun, Jeollabuk-do, Korea. To reach this goal, this study developed a model to calculate Integrated Landscape Assessment Index. The model has employed the Objective Landscape Index, the Subjective Landscape Index, and the weighted values, and was applied to the Seondong region. This study has found the following results: 1) forests and water spaces were assessed with relatively better visual preferences and better landscape ecosystem; 2) the historic cultural area and scenic agriculture as well as general farm land were assessed with moderate ratings; and, 3) the villages included in development plan, their adjacent arable farming land, and the village watercourses were forming relatively poorer landscape.
The purpose of this study is to suggest a landscape resources evaluation strategy of rural waterfront villages along the river. This strategy consists of three phases: 1) an evaluation of rural amenity landscape resources, 2) an evaluation of water landscape resources, and 3) development of a positioning map based on the results of phase 1) and 2) the study result as follows. First, the evaluation method used in phase 1) was modified as a set of proposed evaluation indicators to assess development potential on rural waterfront villages. Second, to evaluate water landscape resources in rural waterfront villages, a series of evaluation index was developed including water area, diversity of water resources, biodiversity, and landscape quality. And the last, the positioning map showed relative position of waterfront villages obtained from two evaluation results: rural amenity landscape resources and water landscape resources. The study examined the proposed strategy as a possible alternative to evaluate landscape quality to 398 rural waterfront villages along the Han River. Landscape resources evaluation strategy proposed here could contribute to government officials and planners to operate systematic planning and management of rural waterfront villages.
This study is to make value estimating system to valuate prototype landscape of rural and to derive itemized importance to select priority preservable object The results of the study are summarized as follows, It is examined value estimating standard by analyzing prototype landscape related previous study, law and order. Also, It is derived conclusive prototype landscape value estimating system by doing attribute assessment of preserving objects while surveying the site and interviewing professionals, Value estimating system is classified into five items of physical value which are integration, harmony, diversity, symbolism and aesthetics, The historical-cultural value are divided into four categories which are religious value, originality, historicity and scarcity, The communal values are divided into three categories which are sociality, continuing and regional locality and also divided into three categories which are rarity, primitiveness and diversity as the ecological value, Relative priority of prototype landscape value estimating system result is derived as historical-cultural value as the superior position and physical value, communal value and ecological value as the priority order. In the subordinate, historical categories are derived to be the most valuable and originality, symbolism, integration, regional locality, continuing, harmony, aesthetics, religious value, primitiveness, diversity of physical values and diversity of ecological value in order of the priority assessment The results of the study have the meaning of practical use in prior selection and preservation plan of preserving prototype landscape as practical alternative plan for systematical preservation of damaging prototype landscape.
Rural landscape is an outcome of residents' life activity based on natural environment. Unlike city, rural residents make their own landscape over a period of time interacting with nature through cultivating and building houses and huts based on the background. Therefore, residents' role in rural area is of greater importance than city's and their recognition of landscape is a key factor to evaluate and manage rural landscape. Landscape Evaluation Map which utilizing Feeling Map method is a evaluation tool to [md out residents' recognition of landscape. In this tool, responses evaluate landscape around their living space and mark color dots which mean landscape grade on a map. This research is to examine effectiveness and applicability of the tool, Landscape Evaluation Map, which is recommended to estimate residents' evaluation of landscape. Through analyzing 7 cases of field application, the effectiveness of Landscape Evaluation Map has been verified and also demerits have been drawn. After modifying detailed techniques and developing resident education, Landscape evaluation map could be applied to [md out landscape resources rather than to evaluate whole rural landscape.
This study has intended to evaluate rural subjective landscape through participation of residents and visitors according to space types, and to perform comparative analysis of evaluation results between residents and visitors. This study has employed a survey method for which 58 residents of 8 villages within Seondong region at Gochang-gun and 70 visitors to Green Barley Field Festival in the target region have participated. 42 landscape view points were selected according to landscape scopes and space types, and then the preference was evaluated using landscape adjectives after showing pictures already taken for each landscape view point. This study has found the following results. First, whereas residents gave high points to natural landscape and artificial one at the historical culture areas in comparison with other landscape scopes, visitors gave them low points on the other hand. Second, visitors evaluated the cultivated area among space types of mixed landscapes with high value. Third, based on t-test for comparative analysis, the statistically significant differences of evaluation results appeared at 6 places among 8 natural landscapes, 3 places among 12 artificial landscapes, and 3 places among mixed landscapes.
This study has intended to elicit the definition of rural landscape, to classify rural landscape type, and to develop the evaluation indicators of rural landscape, meeting the definition through delphi expert survey method. The survey was performed five times for 80 days by 20 experts. The delphi expert survey asked experts as follows: 1) to fill out open-ended questions regarding the definition of rural landscape, and classification of rural landscape types, and evaluation indicators; 2) to provide their own feasibility evaluation regarding the results of the previous answer; and 3) to reevaluate the feasibility of the definition, types, and indicators. Based on the survey results, this study has found the appropriate definition of rural landscape like the comprehensive complex of physical (objective) and nonphysical (subjective) factors characterizing natural and/or artificial scenary of rural village itself Also, this study has developed the evaluation indicators of rural landscape in accordance with space types and landscape units classified. The developed indicators included areal ratio, the degree of green naturality, the building coverage ratio for physical landscape field, and skyline, landscape adjectives, color landscape, semantic scale.
The purpose of this study is to find the bi-polar adjectives for rural stream landscape evaluation by the semantic differential scale and to suggest the major determinants of visual preference in rural stream landscapes. For this, the bi-polar adjectives for rural stream landscape evaluation was found by the method of the reliability test, and the spatial image was analyzed by the factor analysis. The level of visual preference was measured by slide simulation test, and these data were analyzed by the multiple regression. The major findings of this study can be summarized as follows : 1) Of the bi-polar adjectives expressing psychological and physical characteristics, the hi-polar adjectives which demonstrated reliability and consistency run as follows : Bi-polar adjectives expressing psychological characteristics : 'calm-bustling', 'unfamiliar-familiar', 'still-active','depressing-brisk', 'discomfortable-comfortable', 'suppressed-free', 'lifeless-living', 'quiet-noisy', 'unpleasant-pleasant'. Bi-polar adjectives expressing physical characteristics : 'artificial-natural', 'narrow-wide', 'rocky-not rocky', 'desolate-fertile', 'dirty-clean', 'enclosed-open', 'flat-steep', 'not gravelly-gravelly', 'thicketed-not thicketed', 'not weedy-weedy'. 2) Two factors, the harmony and the movement, were derived from the factor analysis for the psychological variables. Three factors, the naturalness, the rock, and the vegetation, were derived from the factor analysis for the physical variables. 3) Rural stream landscape types were classified into four types by the multi-dimensional scaling method. Type III, IV obtained higher rank of visual preference and type I, II obtained lower. 4) For all types, the factors determining the level of visual preference were found to be the harmony, the naturalness, and the vegetation. The visual preference determinants of rural stream landscape need to be considered in improving or restoring the rural stream landscapes.