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Socio-economic constructs and urban topology are crucial drivers of humanmobility patterns. During the coronavirus disease 2019 pandemic, these patternswere reshaped in their components: the spatial dimension represented by thedaily travelled distance, and the temporal dimension expressed as thesynchronization time of commuting routines. Here, leveraging location-baseddata from de-identified mobile phone users, we observed that, during lockdownsrestrictions, the decrease of spatial mobility is interwoven with the emergenceof asynchronous mobility dynamics. The lifting of restriction in urban mobilityallowed a faster recovery of the spatial dimension compared with the temporalone. Moreover, the recovery in mobility was different depending on urbanizationlevels and economic stratification. In rural and low-income areas, the spatialmobility dimension suffered a more considerable disruption when compared withurbanized and high-income areas. In contrast, the temporal dimension was moreaffected in urbanized and high-income areas than in rural and low-income areas.

COVID-19 is linked to changes in the time-space dimension of human mobility