This paper describes a method for assessing scenic quality along existing roadsides in Connecticut (USA) based on a cognitive approach reflecting the complexity of human/landscape interaction. Landscape types (land yse and land cover) which could be used in making spatially related land use and planning decisions were selected and photographed. A sample of representative scenes was rated for seven psychological predictors of theoretical interest. Thirty-six photographs representing nine landscape categories were shown to 249 people from three sample groups (highway residents, transportation planners, and the general public). Scenes were rated for preference on a five point scale, and mean preference rating were calculated for individual images and landscape categories. The underlying patterns in preference ratings were examined by factor analysis which indicated four major dimensions of preference. The relationships among the landscape categories, the psychological predictors, and the dimensions derived by factor analysis are discussed. Results of this investigation indicate that preferences for roadside landscapes are determined both by pattern of land cover and land use and by psychological information. Differences in responses based on sample group or respondents' background are not discussed.
Abstract