TY - JOUR
T1 - Using street view images to examine the association between human perceptions of locale and urban vitality in Shenzhen, China
AU - Wu, Chao
AU - Ye, Yu
AU - Gao, Fanzong
AU - Ye, Xinyue
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China ( 41901326 , 52078343 ), the Natural Science Foundation of Jiangsu Province ( BK20190742 ), Social Science Foundation of Jiangsu Province ( 21SHC005 ) and the Scientific Research foundation of Nanjing University of Posts and Telecommunications ( NY219036 ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/1
Y1 - 2023/1
N2 - There is a high correlation between the physical environment, human perception, and urban vitality. However, fine-scale variations in urban vitality are complex, and human perceptions of locale are difficult to measure. In this study, EasyGo data provided by Tencent, are used to distinguish differences in daytime and nighttime vitality in Shenzhen, China. Then, a series of subjective and objective variables is calculated to reflect human perceptions of locale based on street view images (SVIs). Finally, random forest and spatial lag regressions are adopted to analyze the driving forces of urban vitality. The results suggest that differences in urban vitality are manifestations of the unbalanced allocation of urban function, accessibility, building form, and human perceptions. The dominant variable category is urban function. There are obvious distinctions between daytime and nighttime vitality, particularly because the human perception category is increasingly important to nighttime vitality. This work sheds light on the relationships between human perceptions and urban vitality, providing suggestions for urban microrenewal and the construction of high-quality streets and liveable communities.
AB - There is a high correlation between the physical environment, human perception, and urban vitality. However, fine-scale variations in urban vitality are complex, and human perceptions of locale are difficult to measure. In this study, EasyGo data provided by Tencent, are used to distinguish differences in daytime and nighttime vitality in Shenzhen, China. Then, a series of subjective and objective variables is calculated to reflect human perceptions of locale based on street view images (SVIs). Finally, random forest and spatial lag regressions are adopted to analyze the driving forces of urban vitality. The results suggest that differences in urban vitality are manifestations of the unbalanced allocation of urban function, accessibility, building form, and human perceptions. The dominant variable category is urban function. There are obvious distinctions between daytime and nighttime vitality, particularly because the human perception category is increasingly important to nighttime vitality. This work sheds light on the relationships between human perceptions and urban vitality, providing suggestions for urban microrenewal and the construction of high-quality streets and liveable communities.
KW - Human perception
KW - Random forest
KW - Spatial regression
KW - Spatial-temporal variations
KW - Urban vitality
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U2 - 10.1016/j.scs.2022.104291
DO - 10.1016/j.scs.2022.104291
M3 - Article
AN - SCOPUS:85141517067
SN - 2210-6707
VL - 88
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
M1 - 104291
ER -