35 citations · 36 across the 2 of their papers we have counts for
3 papers
Using machine learning to understand causal relationships between urban form and travel CO2 emissions across continents
Felix Wagner, Florian Nachtigall, Lukas Franken +6
Climate change mitigation in urban mobility requires policies reconfiguring urban form to increase accessibility and facilitate low-carbon modes of transport. However, current poli…
Open government geospatial data on buildings for planning sustainable and resilient cities
Filip Biljecki, Lawrence Zheng Xiong Chew, Nikola Milojevic-Dupont +1
As buildings are central to the social and environmental sustainability of human settlements, high-quality geospatial data are necessary to support their management and planning. A…
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack +19
Climate change is one of the greatest challenges facing humanity, and we, as machine learning experts, may wonder how we can help. Here we describe how machine learning can be a po…