Evaluating Street View Cognition of Visible Green Space in Fangcheng District of Shenyang with the Green View Index

Abstract

Street space is regarded as the skeleton of the urban built environment in a certain way, and one of the most important points for urban dwellers to perceive the image of the city directly. How to better understand the relationship between human cognitive behavior and visual perception and how to evaluate the urban space quantitatively from the human perspective is an important topic in urban studies. Based on the Green View Index(GVI) data and other spatial characteristic data obtained from massive street view images, this paper evaluates the experience and quality of street space closely related to residents' daily life, and discusses the matching relationship between visual data and cognitive data from the street scale. That is, on the basis of the numerical analysis of visual greenery rate, the cognitive experience is evaluated from the perspectives of point-level and line-level street space, which is of great significance for the reasonable optimization of green infrastructure of urban space.