Uncovering the foundation-capacity-performance logic of urban resilience: Identifying dynamic weights and nonlinear relationships through a spatial machine learning framework

Key Points

• Dynamic weights play a crucial role in assessing urban resilience, highlighting key performance factors.
• Spatial machine learning reveals complex nonlinear relationships affecting urban resilience outcomes.
• This analysis utilizes a spatial machine learning framework to uncover essential insights into resilience performance.
• Findings suggest that understanding these dynamics may improve urban planning and policy development.