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.

中文翻译：

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绘制全球人口流动变化图。

人们活动的地理变化在很大程度上是未知的，这主要是由于缺乏准确和可扩展的数据。在这里，我们描述了超过3亿智能手机用户的全球人类出行方式。数据涵盖了几乎所有国家和地球人口的65％，包括跨界运动和国际移民。这种规模和覆盖范围使我们能够开发出全球范围内全面的人类运动类型学。我们量化了人类运动方式在社会人口学和环境背景下的变化方式，并提出了跨越国界的国际运动方式。通过拟合统计模型，我们验证了我们的数据，发现在低收入环境中，人类运动规律适用的距离要短10倍，运动下降速度要快40％。