• Journal of the Korean Institute of Landscape Architecture
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• v.18 no.1
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• pp.69-79
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• 1990

This study intends to define the concept of human scale and visual preference which is frequently being used by environmental designers, and to explore the dimension of buildings and courtyards which is perceived as "human scale" and "visually preferable" by users (college students). As the subjects of this experiment were college students, "human scale" and "visual preferenoe" that were professional terms must be changed to understandable and compatible concept. The compatible concept for human scale was defined as the degree of friendliness and comfort, and that for visual preference was declined as the degree of like or dislike. The subjects thought that buildings with the height of 2.73 ∼5. 83 storides, the length of 27.44∼44.00m and the height ratio of 1.81 ∼5.41 were in human scale, and that buildings with height 2.60 ∼ 6.00 stories, the length of 25.7∼55.00 and the height ratio of 1.32∼6.41 were visually preferred. The block game used in this study was Proved to he a reliable and valid experimental method.

• Journal of the Korean Institute of Landscape Architecture
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• v.27 no.3
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• pp.58-68
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• 1999

Purpose of this thesis is to find out the relationship among the amount of change and the visual cognition, and the visual preference which people like and can feel. Through the investigation of relationships between the amount of change, which indicates the degree of visual variation and the visual preference, the amount of change and the visual cognition, and the visual preference and the visual cognition, basic design data will be supplied, which can satisfy users' desire as much as possible in the most economic way. In order to investigate the relationship between the visually produced the amount of change and preferences, graphic simulation, in which variables other than the visual change are controlled, has been proceeded. Graphic factors of the visual change in the cyber exterior space are determined on the point of location (base plane, vertical plane, overhead plane), shape, size and color. As for the relationship between the amount of change and the preference, only the size is effective. since preferences on the location, shape and color are individual preferences, no common trend can be found. Therefore, we cannot say that which shape or color is better, Since the location, shape and color are qualitative change and the size is the quantitative change, the size can be the measurable change quantity. The relationship between the amount of change of size and the degree of preference is found to be inverse U-shape, i.e., as the amount of change of size increases the degree of preference first increases and, after a certain level, decreases. The same result has been obtained in photo simulation.

• Korean Journal of Agricultural Science
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• v.37 no.1
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• pp.27-35
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• 2010

A study examined visitors' satisfaction to urban arboretum in Daejeon metropolitan city, and analyzed utilization status. Also, the study was based on POE. POE is a last phase in the environmental planning and design process that follows the sequence of planning, programing, design construction, and use of a project. Urban arboretum contribute to improvement in the quality of living by providing urban citizens with places for refreshment, natural have important values on urban environment and to promote the quality of life for urbanite. So, the study aims to present data on the human activities responding to the physical environment of 'the Daejeon Hanbat Arboretum' by evaluating visitor's behavior and activity, visiting motivations, preference patterns, and the degree of visitor's satisfaction. This study is conducted by multi-method such as interviews and questionnaires surveys. On-site questionnaire surveys were conducted in the Hanbat arboretum on October 25-31 of 2009. Total of 265 questionnaires were analyzed for this study. The analysis of data was used SPSS 18.0 statistical analysis program. Data from visitors was analyzed by descriptive statistics, frequency analysis, multiple response analysis, and Anova. Then, the outcome will be compared and evaluated to install urban arboretum that reflect the desires of users in the future.