Reversed Urbanism

Predicting Urban Performance Through Behavioral Patterns in Temporal Telecom Data

This study explores a novel method to analyze diverse behavioral patterns in large urban populations and to associate them with discrete urban features. This work utilizes machine learning and anonymized telecom data obtained by Andorra Telecom as part of MIT Media Lab City Science and the State of Andorra collaboration.

Use the top menu to browse the different outcomes of the research.Please note that this is work in progress and is constantly updating.