The following paper illustrates the application and the verification of detailed methodologies employed by international agencies to assess the Scenic Quality of a landscape. Several States determine a landscape’s visual quality using predictor variables. This research aims to validate the recognized ability of these predictor variables to reproduce untrained observers’ preferences. The definition of the Scenic Quality of a landscape is often infected by subjective opinions but sometimes exceptions exist. Publicjudgment recognizes a high Visual Quality to landscape when natural reserves, national parks, and archaeological interest exist. Various procedurescollected in international literature suggest the use of predictor indicators to evaluate public preferences. Three variables have been chosen to analyze a series of selected Italian landscapes: Vividness, Intactness and Unity. Photographic inventories were created for different landscapes. Pools of landscape architects judged the slides associated to each landscape using a 7-point scale for the three indicators. Identical slides were then shown to untrained observers composed of 201 students that used a 10-point scale to evaluate Scenic Beauty for each picture. Students’ judgments were then related to the expert judgments using correlation and regression analysis. The results indicate that vividness is most correlated with Scenic Beauty that presents a much weaker correlation with intactness. Unity has weak correlation with Scenic Beauty and it has no significant presence into regression equation in predicting community predilections. The research therefore aims to assess landscape perception from the road environment. Road evaluation from the surrounding landscape is considered as a possible future application using simulation or rendering techniques.
Abstract