Abstract
The purpose of this study is to investigate the factors of identification on streetscape, and clarify the relationship between streetscape identification and sensitivity evaluation. In the psychological experiment, the streetscape of Chengdu, China has been set as an object of the study. We selected 32 students as respondents to classify the 120 sheets of typical streetscape images by operating the method of binary tree classification three times. At the same time, we got the impression of comfort and activity for each image. Following this, Multivariate regression tree was employed to process and analyze the identification data which was collected by the result of images classification. Finally, we got five types of groups. The width of sidewalk, the presence of shops, and the quality of the pavement were found to be the influential factors on identification. It was also revealed that the quality of the pavement is a significant impact on the comfort of streetscape.
