Riccardo Di Clemente, Associate Professor in the Network Science Institute at Northeastern University London
Tuesday, May 17, 2024, 12:30 PM CUSP NYU
Our mobility patterns are constructed based on spatio-temporal dimensions linked to routines and commuting habits. Studying how people move and the timing of their movements helps us identify the effects of urban mobility and interactions on social and economic levels. With the introduction of passive data analytics, mobility patterns have been incorporated into city-segregation studies, but they often offer only a static view of the uneven distribution of social groups in physical space.
In my presentation, I will explore innovative measures of urban interactions dependent on the synchronicity of citizens’ commuting patterns. I will describe how we captured the differences in time-mobility habits during the COVID-19 disruption. Our findings indicate that various income groups experienced and responded differently to COVID-19 mobility policies. Additionally, asynchronous mobility patterns emerged primarily due to the enforcement of mobility restriction policies and the adoption of new working habits during the pandemic.
Finally, I will present how citizens from different income groups interact with the urban landscape, connecting their visitation time-patterns with neighborhood topology, and analyzing social income-mixing at different times of the day.