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Identification of heat risk and resilience response in a mountainous megacity from a supply–demand perspective

delete2026-07-29
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PRE
AI
Y
Yu Gao
Z
Ziyao Wang
C
Chi Li *
DOI:10.1016/j.scs.2026.107741delete
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Abstract

Abstract

En 中文
• A supply-demand framework evaluates ecological resilience and heat risk mismatch. • Integrated XGBoost-SHAP and OPGD models reveal non-linear drivers and spatial couplings. • Strong negative spatial correlations exist between ecological resilience and heat risk. • XGBoost-SHAP identifies P_GW as the dominant factor; elevation acts as a macro buffer. • Findings guide spatial strategic zoning for climate adaptation in mountainous megacities.
Keywords:
Mountainous megacities
Ecological resilience
Heat risk
Supply–demand matching
Machine learning

Journal

Sustainable Cities and Society cover
Sustainable Cities and Society
IF:
12
Papers:
7.7K
Citations:
5.2W

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