Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the COVID-19 pandemic, these patterns were re-shaped in their components: the spatial dimension represented by the daily travelled distance, and the temporal dimension expressed as the synchronisation time of commuting routines. 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 to the temporal one. Moreover, the recovery in mobility was different depending on urbanisation levels and economic stratification. In rural and low-income areas, the spatial mobility dimension suffered a more significant disruption when compared to urbanised and high-income areas. In contrast, the temporal dimension was more affected in urbanised and high-income areas than in rural and low-income areas.

翻译：社会经济结构及城市拓扑是塑造人类移动模式的关键驱动因素。在COVID-19疫情期间，这些模式在其构成要素上发生了重塑：空间维度的日出行距离与时间维度的通勤同步时长。通过利用去标识化手机用户的位置数据，我们观察到，在封锁限制期间，空间移动性的下降与异步移动动态的出现相互交织。城市移动限制的解除使得空间维度的恢复速度快于时间维度。此外，移动性的恢复因城市化水平及经济分层而异。在乡村及低收入地区，空间移动维度相较于城市化和高收入地区遭受了更严重的破坏；相反，时间维度在城市化和高收入地区较之乡村及低收入地区受到的影响更为显著。