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

1 code implementation • 31 Aug 2023 • Felix Wagner, Florian Nachtigall, Lukas Franken, Nikola Milojevic-Dupont, Rafael H. M. Pereira, Nicolas Koch, Jakob Runge, Marta Gonzalez, Felix Creutzig

Here, we address all three gaps via causal graph discovery and explainable machine learning to detect urban form effects on intra-city car travel, based on mobility data of six cities across three continents.

Causal Discovery Specificity

Heat increases experienced racial segregation in the United States

no code implementations • 1 Jun 2023 • Till Baldenius, Nicolas Koch, Hannah Klauber, Nadja Klein

We use large-scale foot traffic data for millions of places in 315 US cities between 2018 and 2020 to estimate an index of experienced isolation in daily visits between whites and other ethnic groups.