  Socio-economic constructs and urban topology are crucial drivers of human
mobility patterns. During the coronavirus disease 2019 pandemic, these patterns
were reshaped in their components: the spatial dimension represented by the
daily travelled distance, and the temporal dimension expressed as the
synchronization time of commuting routines. Here, leveraging location-based
data from de-identified mobile phone users, we observed that, during lockdowns
restrictions, the decrease of spatial mobility is interwoven with the emergence
of asynchronous mobility dynamics. The lifting of restriction in urban mobility
allowed a faster recovery of the spatial dimension compared with the temporal
one. Moreover, the recovery in mobility was different depending on urbanization
levels and economic stratification. In rural and low-income areas, the spatial
mobility dimension suffered a more considerable disruption when compared with
urbanized and high-income areas. In contrast, the temporal dimension was more
affected in urbanized and high-income areas than in rural and low-income areas.
