Investigating the relationship between built environment and urban vitality using big data
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View abstract on PubMed
Summary
This summary is machine-generated.Urban vitality, driven by resident activity and environment interaction, is key to city development. This study uses big data and spatial analysis in Yinchuan to reveal how the built environment impacts urban vitality, offering strategies for enhancement.
Area Of Science
- Urban studies
- Environmental science
- Spatial analysis
Background
- Urban vitality is crucial for social and economic development, influencing urban quality and resident well-being.
- Existing research often neglects big data integration and spatial heterogeneity in urban environments.
- Understanding these factors is vital for sustainable urban planning and development.
Purpose Of The Study
- To measure urban vitality using multi-source big data in Yinchuan.
- To analyze the influence of 2D/3D built environment variables on urban vitality.
- To investigate the spatially heterogeneous relationships between the built environment and urban vitality using Geographically Weighted Regression (GWR).
Main Methods
- Utilized multi-source big data for urban vitality measurement.
- Incorporated 2D/3D variables to characterize the built environment.
- Applied a Geographically Weighted Regression (GWR) model to explore spatial heterogeneity.
Main Results
- Built environment factors significantly impact urban vitality, especially in central districts.
- Positive spatial autocorrelation and clustering patterns were observed in the influence of built environment on vitality.
- Significant spatial heterogeneity was found across different regions of Yinchuan.
Conclusions
- The built environment is a key determinant of urban vitality, with spatially varying effects.
- Targeted, multidimensional strategies are proposed for enhancing urban vitality.
- Findings offer theoretical support and practical guidance for Yinchuan and other cities facing similar urban challenges.
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