FOCUS OF STUDY This study investigates the relationship between urban agglomerations and centers in Guangzhou using open-source Point of Interest (POI) data and machine learning techniques, particularly k-means clustering. It aims to identify distinct urban functional features and their interactions, moving beyond traditional density-focused methods. By analyzing a comprehensive dataset, the research reveals 63 agglomerations and 11 urban centers, emphasizing the multifunctional nature of urban spaces. The findings provide insights into urban planning, land use, and transportation strategies, highlighting the importance of integrating various urban functions to enhance efficiency and sustainability. POLICY RECOMMENDATION Urban planning policies should prioritize the development of multifunctional spaces that accommodate diverse urban activities. Enhancing public transit accessibility and promoting interagency coordination can significantly improve urban efficiency and sustainability, addressing the needs of various communities within the metropolitan area. FOCUS OF STUDY This study investigates the effects of urban greenery (UG) quality and quantity on mental health, particularly in the context of housing prices and homeownership. By analyzing data from 1,309 participants in the Pearl River Delta, it reveals that the quality of green spaces significantly enhances mental health through neighborhood ties and place attachment, while quantity affects mental health primarily through place attachment. The findings indicate that renters benefit more from high-quality UG than homeowners, especially in wealthier neighborhoods, highlighting the intricate relationship between urban greenery, mental health, and socioeconomic factors. POLICY RECOMMENDATION Urban planners should prioritize enhancing the quality of green spaces, particularly in tenure-mixed neighborhoods, to promote mental health equity and mitigate health disparities linked to housing prices. Zhu, Pengyu, Jianqi Li, and Zining Wang. “Identifying functional agglomerations and urban centers using open-source data and machine learning: Framework, applications and planning implications.” Journal of Urban Management (2025). Li, Qingyin, Rong Wu, and Pengyu Zhu. “Quality or quantity of urban greenery: Which matters more to mental health? Evidence from housing prices in the Pearl River Delta.” Landscape and Urban Planning 263 (2025): 105438. 28 Scholarly Showcase
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