Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pandemic impact human mobility. In all three countries, we find that following the implementation of mobility restriction measures, human movement decreased substantially. Importantly, we also uncover large and persistent differences in mobility reduction between wealth groups: on average, users in the top decile of wealth reduced their mobility up to twice as much as users in the bottom decile. For decision-makers seeking to efficiently allocate resources to response efforts, these findings highlight that smartphone location data can be leveraged to tailor policies to the needs of specific socioeconomic groups, especially the most vulnerable.

中文翻译：

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使用位置数据揭示 COVID-19 大流行期间出行减少方面的社会经济差距

我们使用来自哥伦比亚、墨西哥和印度尼西亚的智能手机位置数据，调查旨在减轻 COVID-19 大流行蔓延的非药物政策干预如何影响人类流动。在所有三个国家中，我们发现在实施行动限制措施后，人员流动大幅减少。重要的是，我们还发现财富群体之间流动性减少的巨大且持续的差异：平均而言，财富最高十分之一的用户减少的流动性是最低十分之一用户的两倍。对于寻求有效地为响应工作分配资源的决策者而言，这些发现强调可以利用智能手机位置数据来根据特定社会经济群体（尤其是最弱势群体）的需求制定政策。