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 main two 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:社会经济结构和城市地形学是人类流动模式的关键驱动因素。在COVID-19大流行期间,这些模式在其主要两个组成部分中重新形成:每天旅行的距离所代表的空间层面,以及以同步通勤时间表示的时间层面。我们观察到,在封闭式限制期间,空间流动性的减少与无同步流动动态的出现交织在一起。取消对城市流动性的限制使得空间层面的恢复速度快于时间层面。此外,流动性的恢复取决于城市化水平和经济分层。在农村和低收入地区,与城市化和高收入地区相比,空间流动性层面受到更大的干扰。相比之下,时间层面在城市和高收入地区比在农村和低收入地区受到的影响更大。