Optimizing Neighborhood Spatial Form for Sustainable and Resilient Urban Development through multisource approach

Urban areas face interconnected challenges such as urban sprawl, climate change, and social inequality, forming a complex web that requires comprehensive management strategies. Achieving sustainable and resilient urban development hinges on solutions that not only address local community needs but also identify root problems through participatory planning. Effective solutions blend vertical (local to regional) and horizontal (cross to sectoral) collaboration, offering promising perspectives for addressing these challenges. The paper reports a study combining ield surveys with multi-source big data analysis to assess neighborhood spatial elements that inluence resilience, with the aim to investigate the commonalities and conlicts in sustainable development and improve spatial form at the neighborhood scale. The study takes into account several aspects with qualitatively analyzed, including road networks, building layouts, and functional partition. Once the main features of each neighborhood are assessed, it is possible to address optimized solutions for increasing adaptability to social and environmental challenges. Optimization directions include improving road connectivity, redistributing public facilities, and promoting mixed-use zones. The indings offer actionable insights for urban planners and policymakers, providing strategies to better manage spatial resources and foster more resilient, sustainable urban environments.