Evaluating low-carbon urban planning strategies across urban typologies using causal machine learning
H 3005With climate change and rapid urban migration, cities face the question of where to locate new residents to minimize travel and related CO2 emissions. While the IPCC suggests general planning concepts such as compact or transit-oriented development, a place-specific understanding of how this translates to the local context is lacking. Here, we introduce a novel […]
Conference Theme: Climate Solutions for Cities and other Human Settlements
Research Methods: Digital evidence synthesis and machine-learning methods, Policy evaluation – Quasi-experiments