Measurement of urban vitality and the influence mechanism of the built environment on it based on multi-source data: A case study of Yantai City
Yanfeng Zhang, Xiaohui Wang, Longsheng Wang, Yige Zhang, Yu Ye, Hongqiang Jiang, Yihao Chi, Guodong Liu, Shimou Yao
TL;DR
This study uses multi-source data to measure urban vitality in Yantai City and explores how the built environment influences it.
Contribution
The paper introduces a novel index system for the built environment and applies advanced methods to analyze urban vitality patterns.
Findings
Urban vitality in Yantai shows a composite spatial structure with 'multi-center' and 'clustered' characteristics.
Functional aspects of the built environment are more critical for daytime and nighttime vitality than other dimensions.
Factors like BPOI, integration, and accessibility positively impact vitality clustering, while human perception enhances nighttime vitality.
Abstract
Under a human-centered approach, accurately identifying the spatial patterns of urban vitality and revealing the mechanisms through which the built environment affects it can scientifically guide the organic cultivation of urban vitality. In light of this, the main urban area of Yantai City is taken as a case study, utilizing multi-source geographic big data to conduct both theoretical and empirical research. An index system for the urban built environment is established based on four dimensions: human perception, functional, accessibility, and building form. Advanced methods, including Deep Fully Convolutional Neural Networks (SegNet), Random Forest Regression (RFR), and Spatial Lag Regression (SLR), are employed to explore the impact of the built environment on urban vitality. The research findings indicate that: (1) Urban vitality presents a composite spatial structure that embodies…
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Taxonomy
TopicsUrban Transport and Accessibility · Human Mobility and Location-Based Analysis · Urban Design and Spatial Analysis