Unravelling the non-linearity and spatial variation of the impact of urban landscape patterns on resident well-being: through an integrated CatBoost-SHAP and GTWR model

Key Points

• Resident well-being is significantly influenced by urban landscape patterns, indicating the complexity of these interactions.
• Analysis shows notable non-linearity, with variations in impacts across different urban settings and demographics.
• Utilizing CatBoost and SHAP, the study uncovers important predictors of well-being within urban environments.
• Findings emphasize the need for nuanced urban planning that considers these complex relationships to enhance resident quality of life.