Mapping global variation in human mobility
Mapping global variation in human mobility
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DOI：
10.1038/s41562-020-0875-0
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发表时间：
2020-05-18
影响因子：
29.9
通讯作者：
Brownstein, John S.
中科院分区：
文献类型：
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作者：
Kraemer, Moritz U. G.;Sadilek, Adam;Brownstein, John S.
人类活动的地理变化在很大程度上是未知的，主要是由于缺乏准确和可扩展的数据。在这里，我们描述了全球人口流动模式，汇总了超过 3 亿智能手机用户的数据。这些数据涵盖几乎所有国家和地球人口表面的 65%，包括跨境流动和国际移民。这种规模和覆盖范围使我们能够开发全球综合的人类运动类型学。我们量化人类流动模式在社会人口和环境背景下的变化，并呈现跨国界的国际流动模式。通过拟合统计模型，我们验证了我们的数据，发现人类移动规律适用于短 10 倍的距离，并且在低收入环境中移动下降速度要快 40%。这些结果和数据可用于进一步了解人类运动在应对人口、经济和环境快速变化方面的作用。Kraemer 等人利用大规模数据。发现人类流动模式在全球范围内存在差异，其规模因环境和社会人口背景而异。根据各国的经济发展情况，流动模式存在十倍的差异。
The geographic variation of human movement is largely unknown, mainly due to a lack of accurate and scalable data. Here we describe global human mobility patterns, aggregated from over 300 million smartphone users. The data cover nearly all countries and 65% of Earth's populated surface, including cross-border movements and international migration. This scale and coverage enable us to develop a globally comprehensive human movement typology. We quantify how human movement patterns vary across sociodemographic and environmental contexts and present international movement patterns across national borders. Fitting statistical models, we validate our data and find that human movement laws apply at 10 times shorter distances and movement declines 40% more rapidly in low-income settings. These results and data are made available to further understanding of the role of human movement in response to rapid demographic, economic and environmental changes.Using large-scale data, Kraemer et al. find that human mobility patterns vary across the globe and in scale by environmental and sociodemographic contexts. There are tenfold differences in mobility patterns depending on the countries' economic development.