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Dynamic scenario analysis and prediction of embodied carbon emissions in China's building sector

A hybrid interpretable machine learning model

Bibliographic Data

ID11368495
AuthorsZhike Zheng (Beijing Jiaotong University), Qing Shuang (0000-0003-2355-683X, Beijing Jiaotong University, corresponding author)
Year2026
Volume116
Pages108119
Publication date2026-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Impact Assessment Review (JOURNAL)
Journal identifiersISSN: 0195-9255 • E-ISSN: 1873-6432
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.eiar.2025.108119
OpenAlexW4413143834
LanguageEN
Citations received3
References cited84

Architectural engineering · China · Economics · Embodied cognition · Environmental economics · Greenhouse gas · Machine learning · Natural resource economics · Political science · Sustainability · Computer Science · Energy, Environment, Economic Growth · Engineering · Environmental Impact and Sustainability · Environmental Science · Artificial Intelligence · Ecology

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Unique citing works3
Citations per year3
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 3
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