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Author

Yangping Huang

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Open access Aug 2026

Explaining Intra-Urban Spatial Interaction with Theory-Informed Interpretable Machine Learning: Nonlinear Contributions of Complementarity, Intervening Opportunities, and Transferability

Understanding intra-urban spatial interaction is essential for context-sensitive urban planning. While classical spatial interaction theories provide strong conceptual foundations, systematically translating these theoretical concepts into quantifiable indicators remains a significant methodological challenge. Furtherm...

Shou-Zhi Chang, Min-Hua Dong, Bo-Yu Hou et al. · 0 citations

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