Environmental Studies and ForestryNature Sustainability
Revealing building operating carbon dynamics for multiple cities
W. Yap, A. N. Wu, et al.
Researchers Winston Yap, Abraham Noah Wu, Clayton Miller, and Filip Biljecki present an open science framework that blends building energy data, geospatial inputs, and graph deep learning to estimate urban building emissions. Tested across five cities, the model explains 78.4% of emission variation and reveals how planning history, urban form, and wealth patterns shape carbon footprints—sometimes in surprisingly uneven ways.
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