Research

Our research develops computational methods to analyze built environments and human behavior in cities, focusing on mobility, land use, housing, and their connections to social, environmental, and health inequalities. Current projects particularly address the transition to net zero and key housing challenges in cities. We aim to:
 

1. Quantify city- and population-level changes at fine spatial scales using emerging digital and traditional data sources,
2. Model urban dynamics for forecasting and scenario testing, integrating agent-based models, spatial interaction models, and deep learning,
3. Investigate how individual behavior changes over time and in response to interventions in the context of cities.