Talk at the Alan Turing Institute event in Leeds.
Towards Urban Analytics 2.0
Human mobility patterns are driven by socio-economic features and urbanisation levels. During the COVID-19, these patterns were re-shaped in their components: the spatial dimension, as the daily travelled distance, and the temporal dimension, as synchronisation time of commuting routines. Leveraging from location-based data from mobile phone users, we observed that during the lockdowns restrictions, the decrease of spatial mobility is interwoven with the emergence of asynchronous mobility dynamics. Whilst lifting of restriction allowed a faster recovery of the spatial dimension rather than the temporal, and it enhanced the principal component of mobility signature depending on urbanisation levels and economic stratification.