most citedUsing machine learning to understand causal relationships between urban form and travel CO2 emissions across continents

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 1 cited

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…