Impact of Urban Neighborhood Morphology on PM2.5 Concentration Distribution at Different Scale Buffers

Zhen Wang, Kexin Hu, Zheyu Wang, Bo Yang and Zhiyu Chen ()
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Zhen Wang: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Kexin Hu: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Zheyu Wang: School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Bo Yang: School of Architecture and Urban Planning, University of Arizona, Tucson, AZ 85721, USA
Zhiyu Chen: Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China

Land, 2024, vol. 14, issue 1, 1-25

Abstract: PM2.5 air pollution is a critical global health issue. This paper introduces an innovative framework to explore the multi-scale relationship between urban morphology and PM2.5 concentrations. An enhanced Land Use Regression (LUR) model integrates geographic, architectural, and visual factors, enabling analysis from neighborhood to regional scales. A stratified sampling strategy, combined with standardized mobile monitoring and fixed-site data, establishes a robust and verifiable data collection methodology. Cross-validation (CV R 2 > 0.70) further confirms the model’s reliability and robustness. The nested buffer analysis reveals scale-dependent effects of urban morphology on PM2.5 concentrations, providing quantitative evidence for planning interventions. Quantitative analysis shows land use (β = 0.42, p < 0.01), visual factors (β = 0.38, p < 0.01), and building density (β = 0.35, p < 0.01) in descending order of influence. Geographic factors are significant at the regional scale (2000–3000 m) while architectural parameters dominate at the neighborhood scale (50–500 m), informing both macro-scale spatial optimization and micro-scale design. This framework, through standardized parameters and reproducible procedures, supports cross-regional and cross-scale air quality assessments, providing quantitative metrics for urban planning, neighborhood optimization, and public space design.

Keywords: air quality; pollutant dispersion; urban neighborhood morphology; Land Use Regression (LUR); different scale buffers (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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