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A machine learning framework for urban heat mitigation in informal settlements

Climate-resilient planning in Kabul, Afghanistan

Bibliographic Data

ID21233146
AuthorsEmal Ahmad Hussainzad (0000-0002-5100-6352, Wuhan University), Zhonghua Gou (0000-0001-9627-4724, Wuhan University, corresponding author)
Year2025
Volume133
Pages106845
Publication date2025-10-01
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2025.106845
OpenAlexW4414444211
LanguageEN
Citations received5
References cited66

Arid · Climate change · Human settlement · Informal settlements · Population · Urban climate · Urban heat island · Urban planning · Building Energy and Comfort Optimization · Climate Change and Health Impacts · Urban Heat Island Mitigation

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  • Exploring the heterogeneity in relationship between heat exposure and land development in Mumbai, India

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  • Urban morphology in China

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  • Examining the suitability of the local climate zones (LCZ) framework in informal urban settlements

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  • The impacts and thresholds detection of 2D/3D urban morphology on the heat island effects at the functional zone in megacity during heatwave event

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  • Urban form and green space structure as drivers of urban heat mitigation

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  • Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones

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  • Revealing the impact of urban spatial morphology on land surface temperature in plain and plateau cities using explainable machine learning

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  • Fringe more than context

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Citations per year5
Citation span2026 - 2026 (1)
Highly citedNo
Open DOI
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