Publications

What we’ve published…

Multimodal Deep Learning from Satellite and Street-Level Imagery for Measuring Income, Overcrowding, and Environmental Deprivation in Urban Areas

Remote Sensing of Environment 2021 doi:10.1016/j.rse.2021.112339

Data collected at large scale and low cost (e.g. satellite and street level imagery) have the potential to substantially improve resolution, spatial coverage, and temporal frequency of measurement of urban inequalities. …

An Agent Based Model for London: Exploratory Case Study

European Transport Conference 2019 Association for European Transport (AET) 2019

Agent based modelling is a modelling paradigm which may transform how key policy decisions are made. Agent Based Models (ABMs) simulate actions and interactions of agents with a view to assessing their effects on the …