Journal
SUSTAINABLE CITIES AND SOCIETY
Volume 88, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.scs.2022.104291
Keywords
Human perception; Urban vitality; Random forest; Spatial regression; Spatial -temporal variations
Ask authors/readers for more resources
There is a strong correlation between the physical environment, human perception, and urban vitality. This study uses EasyGo data to analyze differences in daytime and nighttime vitality in Shenzhen, China, and calculates subjective and objective variables based on street view images to reflect human perceptions. The results suggest that urban vitality is influenced by the allocation of urban function, accessibility, building form, and human perceptions, with daytime and nighttime vitality showing distinct differences.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available