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.

翻译：社会经济结构与城市拓扑是塑造人类移动模式的关键因素。在2019冠状病毒病大流行期间，这些模式在其组成部分上被重塑：空间维度（以每日出行距离表示）和时间维度（以通勤作息同步时间表示）。本文利用去标识化手机用户的基于位置的数据观察到，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。解除城市移动限制后，空间维度比时间维度恢复得更快。此外，移动性的恢复因城市化水平和经济分层而异。在农村和低收入地区，空间移动维度相较于城市化与高收入地区受到更严重的破坏；相反，时间维度在城市化与高收入地区比在农村和低收入地区受到的影响更大。