We combine theory, empirical analysis, spatial data, and computational modelling to investigate urban processes across scales. Our work draws on geographic information systems, space syntax, simulation, virtual reality, urban climate modelling, and quantitative and qualitative methods for the study of cities.
Segregation Wiki: A collaborative knowledge platform that maps the many forms of segregation identified across disciplines
CHASM — QGIS Plugin: A spatial analysis tool for measuring segregation through the accessibility afforded to different social groups by street networks using zone-based (e.g. census) data.
SegX — Model of Experienced Segregation: A model for analysing how segregation is experienced through daily movement, encounters, and exposure across urban space.
AIM2 — Analysis of Information in Morphology and Morphospace: A computational model for measuring information, density, and permeability in urban form and positioning settlements within morphospace.
MUM — Model of Urban Morphogenesis: A simulation model for exploring how cities emerge through the interaction of density, movement, proximity, and social complexity.
CUE — Cooperation in Urban Environments: An agent-based model for studying how urban environments shape movement, interaction, information exchange, and social cooperation.
SEA — Architectural Effects Simulator: A probabilistic simulation tool for exploring how architectural form may shape pedestrian presence.