| 摘 要： |
Human perception is a critical component of place attachment, but its contribution to people-oriented urban planning remains unclear. Global shifts have dramatically transformed the way people live, with a surge in engagement in online social spheres. Social media has risen to prominence as the principal conduit through which individuals articulate their views. However, current research lacks an overall consideration of the use of social media to link the urban environment with people's perceptions. Furthermore, complex social media data processing presents another technical difficulty. This study presents an innovative use of deep learning BERTbased techniques to analyze online data from social media and subdivide human perceptions into 9 emotions and 10 behaviors. On the basis of Spearman correlation, geographically weighted regression (GWR), and multilevel multinomial logistic regression, we investigate the impact of the quality of the urban built environment and individual differences on residents' perceptions. The results show that the greater the density of urban amenities and the more diverse urban land uses are, the more likely residents are to express positive emotions and the greater the number of types of activity. Women and older people are more likely to develop place attachment. Our research explores the impact of environmental quality on human perception from both theoretical and empirical perspectives and provides a deeper understanding of the human-land relationship. Urban planning that considers place attachment can create opportunities for sustainable urban development and improve the quality of human life. |
在线留言
联系我们
所长信箱