This paper analyzes the problem of the inclusion of road infrastructure in the present environment; in fact many international and national studies and research have been carried out to address this aspect of road infrastructure construction. Although many approaches to this type of problem exist, now there are two main procedures to solve it: a) the surrounding environment seen from the road (i.e. from the perspective of the driver's eye), and b) the Whole surrounding environment observed from off the road (the point of view external to the road). The experimental analysis presented here shows a predictive model to assess the beauty of a scenario in which the road is introduced from the road. The model has been developed thanks to experimental investigation using a sample of 200 non-expert judges asked to express an opinion on 32 different scenes in conventional photographs selected from low-volume roads within the Province of Salerno. The coefficients of the resulting model have significance greater than 95% and the equation has a coefficient of determination equal to 0.86. By comparing the measured values with those derived from applying the predictive model, the effectiveness of the model is clear: the maximum error is less than 10%.
DESCRIPTORS IN SCENIC LOW-VOLUME ROADS ANALYSIS THROUGH VISUAL EVALUATION
Abbondati Francesco;
2016-01-01
Abstract
This paper analyzes the problem of the inclusion of road infrastructure in the present environment; in fact many international and national studies and research have been carried out to address this aspect of road infrastructure construction. Although many approaches to this type of problem exist, now there are two main procedures to solve it: a) the surrounding environment seen from the road (i.e. from the perspective of the driver's eye), and b) the Whole surrounding environment observed from off the road (the point of view external to the road). The experimental analysis presented here shows a predictive model to assess the beauty of a scenario in which the road is introduced from the road. The model has been developed thanks to experimental investigation using a sample of 200 non-expert judges asked to express an opinion on 32 different scenes in conventional photographs selected from low-volume roads within the Province of Salerno. The coefficients of the resulting model have significance greater than 95% and the equation has a coefficient of determination equal to 0.86. By comparing the measured values with those derived from applying the predictive model, the effectiveness of the model is clear: the maximum error is less than 10%.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
