Relationship between neighborhood land use structure and the spatiotemporal pattern of PM_2.5 at the microscale: Evidence from the central area of Guangzhou, China

Abstract

Fine particulate matter (PM2.5) is harmful to human health. Although the relationship between urban land use and PM2.5 has been studied in recent years, there has been little consideration of the relationship between land use structure and PM2.5 spatiotemporal patterns at the microscale. Based on mobile monitoring PM2.5 data and point of interest data, this paper explored their relationship with a classification and regression tree model. The results showed that PM2.5 exhibits spatiotemporal heterogeneity at the microscale. The neighborhoods’ land use structure can explain 60.4% of the PM2.5 spatiotemporal patterns. Transportation and ecology are the two most significant land use types that correlated with PM2.5 spatiotemporal patterns. Fourteen rules of neighborhood land use structures with different land use types are identified land use structure which leads to different spatiotemporal patterns of PM2.5. The higher the PM2.5 risk, the stronger the correlation with neighborhood land use structure is. The classification and regression tree model can be effectively used to judge the relationship between neighborhood land use structure and PM2.5 spatiotemporal patterns. The results provide a basis for developing appropriate measures, based on local conditions, to predict PM2.5 pollution levels at the microscale, and reduce the risk of neighborhood exposure to PM2.5.

Deep learning-based investigation of the impact of urban form on the particulate matter concentration on a neighborhood scale

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Key determinants of particulate matter 2.5 concentrations in urban environments with scenario analysis

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Formation Process and Spatial Representation of Tourist Destination Personality from the Perspective of Cultural Heritage: Application in Traditional Villages in Ancient Huizhou, China

“…As tourism rapidly develops, localized space, as a core element of tourism development, has shifted the focus of research on destination personality towards process interpretation and spatial significance analysis. Only through a comprehensive analysis framework of "people-time-space" unity can the full meaning of 'localized space' be constructed [28][29][30]. From a historical evolution perspective, the analysis of tourism destination personality, based on the context of "dynamic territorial systems", emphasizes the analysis of the internal cultural core composition and spatial structure evolution process in the formation of the tourism destination territorial system and distinctive pattern.…”