Our research proposes a reproducible framework to quantify and address socio-economic inequalities in accessibility to urban services.
Network criticality analysis, often used for prioritising transport interventions, is typically conducted using a utilitarian principle.
In the path to more inclusive and sustainable cities, our research aims to identify pluralistic public values and their conflicts
Engaging and understanding communities affected by urban development leads to better planning decisions and improved social outcomes
MATCASC is an open source MATLAB based tool to analyse cascading failures in power grids.
This research project develops a spatial tool to support integrated decision-making in cities
This course will introduce you to practices in data analysis and computational methods in the context of urban planning.