• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.2
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• pp.93-103
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• 1995

The changes of rural landscape are currently spread everywhere and are rapidily being processed both in quality and in quantities of changes From such aspects, it is urgent to control the land scape change, and is required to know what is valued or preferred in rural landscape, This study was conducted to investigate preferences and differences of the responses between urban and rural residents to rural scenery. As a method, color-slide surrogates for rural landscape settings are shown to urban and rural residents, For a given 52 scenes of rural landscapes the respondents judged the familiarity, orality, and preference along a ten point scale. The following facts are found: 1) Refponses to certain types of landscape settings are influenced by the place of residence of the respondents. The urban residents highly rated natural components of the rural landscape. In contrast rural residents preferred the scenes with visible sign of development 2) The relations among the estimation of preference, familiarity and rurality in rural landscape were deeply correlated. When the rural lands(:ape is adequately ref resented as 'familiarity' or 'rurality' well the landscape is more preferred 3) It is found what is valued or preferred in rural landscape : Readjusted agricultural land, big tree, grassland hi dominated visually were preferred in rural landscape. The implication of this study is that successful planning of development or management in rural area will occur only when these different needs and values are acknowledged and accommodated.

• Journal of Korean Society of Forest Science
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• v.95 no.6
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• pp.768-777
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• 2006

The purpose of this study lies in formulating the landscape preference model using a conditional logit that involves the effect of visual elements as well as landscape itself on landscape preferences. To measure landscape preferences, a photo-questionnaire composed of paired photographs of the Cairngorms National Park of Scotland and the Jirisan National Park of Korea was distributed to visitors to the Jirisan National Park of Korea. Visual elements of landscape quantitatively measured by photogrammetry were reduced to orthogonal principal components that were subsequently used as explanatory variables in a conditional logit. As a result, the mixed conditional logit including the effect of landscape itself satisfied the Independence of Irrelevant Alternatives (IIA) property and showed reliable goodness of fit (${\rho}^2=0.25$). It was concluded that the mixed conditional logit including the effect of landscape itself was appropriate for landscape preference model rather than usual conditional logit excluding the effect.