Understanding the characteristics of urban street environment perception has important reference significance for both urban planning and renewal.Street view data has become an important data source for studying urban street environment fea-tures at present.Previous researches mainly evaluate street environment features(e.g.,greening,walkability)in a certain di-mension by semantic segmentation of street view images.However,it lacks the analysis of urban street classification based on multidimensional street perception characteristics.This study takes Xi'an as an example,based on the semantic segmentation re-sults of Baidu Street View images,quantifies the perceptual characteristics of streets from five dimensions,namely greenness,openness,enclosure,walkability and imageability,and analyzes the spatial heterogeneity characteristics of the perceptual varia-bles in each dimension.On this basis,the perceptual vectors describing the street environment are constructed with the percep-tual variables of the five dimensions.K-Means clustering algorithm is used to cluster the street perceptual vectors and categorize the streets with similar perceptual characteristics.The results are shown as follows.① Street perception in Xi'an presents spa-tial differentiation,in which the hot spots and cold spots of greenness perception are staggered,the spatial distribution of open-ness and imageability is gradual,and the enclosure and walkability are distributed in scattered clusters.② Streets can be divided into four categories based on perception characteristics,in which the difference between the categories of enclosure and walk-ability is small,while the difference between the other categories of perception variables is significant.The first category of streets(C1)has the strongest greenness perception,the second category of streets(C2)has the strongest openness perception,the third category of streets(C3)has strong imaging perception,and the difference between the perception elements of the fourth category of streets(C4)is small.The results of this study are helpful to understand the spatial heterogeneity of urban street perception and provide reference for urban street renewal and planning.
关键词
街景影像/语义分割/街景感知特征/空间特征
Key words
street view imagery/semantic segmentation/perception characteristics of street view/spatial feature
万方数据