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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2023

Shared Mobility in Berlin: An Analysis of Ride-Pooling with Car Mobility Data

Alexander Schmaus, Felix Creutzig, Nicolas Koch +1

In face of the threat of a climate catastrophe and the resulting urgent need for decarbonization together with the widespread emergence of the sharing economy, shared pooled mobili…

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…