School of Biological Sciences, University of Southampton, Southampton, UK.
Ocean and Earth Science, National Oceanography Centre, University of Southampton, Southampton, UK.
Int J Health Geogr. 2021 Dec 4;20(1):46. doi: 10.1186/s12942-021-00299-5.
Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which resulted in changes to mobility across different regions. An understanding of how these policies impacted travel patterns over time and at different spatial scales is important for designing effective strategies, future pandemic planning and in providing broader insights on the population geography of the country. Crowd level data on mobile phone usage can be used as a proxy for population mobility patterns and provide a way of quantifying in near-real time the impact of social distancing measures on changes in mobility.
Here we explore patterns of change in densities, domestic and international flows and co-location of Facebook users in the UK from March 2020 to March 2021.
We find substantial heterogeneities across time and region, with large changes observed compared to pre-pademic patterns. The impacts of periods of lockdown on distances travelled and flow volumes are evident, with each showing variations, but some significant reductions in co-location rates. Clear differences in multiple metrics of mobility are seen in central London compared to the rest of the UK, with each of Scotland, Wales and Northern Ireland showing significant deviations from England at times. Moreover, the impacts of rapid changes in rules on international travel to and from the UK are seen in substantial fluctuations in traveller volumes by destination.
While questions remain about the representativeness of the Facebook data, previous studies have shown strong correspondence with census-based data and alternative mobility measures, suggesting that findings here are valuable for guiding strategies.
自 2020 年 3 月初以来,新冠疫情在英国各地蔓延,导致实施了一系列社交距离政策,从而改变了不同地区的出行模式。了解这些政策如何随时间推移和在不同空间尺度上影响出行模式,对于制定有效的策略、未来的大流行规划以及更广泛地了解该国的人口地理分布具有重要意义。手机使用量的人群数据可用作人口流动模式的代理指标,并可用于实时量化社交距离措施对移动性变化的影响。
本文探讨了 2020 年 3 月至 2021 年 3 月期间,英国脸书用户密度、国内和国际流动以及同地居住的变化模式。
我们发现,时间和地区之间存在很大的异质性,与大流行前的模式相比,变化显著。封锁期间对旅行距离和流量的影响是明显的,每个指标都有所不同,但同地居住率明显降低。与英国其他地区相比,伦敦市中心在多项流动性指标上存在明显差异,苏格兰、威尔士和北爱尔兰在某些时候与英格兰有明显差异。此外,英国国内外旅行规则的快速变化对旅行者数量产生了重大影响,目的地旅行者数量波动明显。
尽管关于脸书数据的代表性问题仍存在疑问,但先前的研究表明,该数据与人口普查数据和替代流动性指标具有很强的一致性,这表明这里的发现对于指导策略具有重要价值。