Florian Nachtigall is a PhD candidate at the Technical University of Berlin, supervised by Prof. Dr. Felix Creutzig and part of the Land Use, Infrastructure and Transport working group at MCC. As part of the AI4UP project, he aims to advance low-carbon urban planning using geospatial data and machine learning. His research focuses on estimating the effects of transport policies and infrastructure interventions on travel behavior and related GHG emissions using causal machine learning. In addition, he supports the working group as a data engineer and maintains the European building stock database, EUBUCCO.
His personal website can be found here.
Latest Publications
Comparing urban form influences on travel distance, car ownership, and mode choice
Transportation Research Part D: Transport and Environment
Type
Peer Review
Predicting building age from urban form at large scale
Computers, Environment and Urban Systems
Type
Peer Review
EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
Nature Scientific Data
Type
Peer Review
