We employed a series of multilevel models to explore the within and between city variations in the relationship across ethnic segregation, and key socioeconomic and built environment features of neighbourhoods.
We provide high resolution estimates (450m2) of spatio-temporal changes in urban energy consumption in response to COVID-19.
This presentation summarises collaborative work on internal migration in Latin American cities. It also proposes ways how twitter data and machine learning can be used to measure internal migration and an approach to measure the relative importance …
The project aims to develop and employ analytical approaches to measure the evolution of cities using machine learning and satellite imagery.