After a disaster, there is an urgent need for information on population mobility. Our analysis examines the suitability of Twitter data for measuring post-disaster population mobility using the case of Hurricane Maria in Puerto Rico. Among Twitter users living in Puerto Rico, we show how many were displaced, the timing and destination of their displacement, and whether they returned. Among Twitter users arriving in Puerto Rico after the disaster, we show the timing and destination of their trips. We find that 8.3% of resident sample relocated during the months after Hurricane Maria and nearly 4% of were still displaced 9 months later. Visitors to Puerto Rico fell significantly in the year after Hurricane Maria, especially in tourist areas. While our Twitter data is not representative of the Puerto Rican population, it provides broad evidence of the effect of this disaster on population mobility and suggests further potential use.

中文翻译：

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使用带有地理标记的推文来跟踪飓风玛丽亚之后进出波多黎各的人口流动

灾难发生后，迫切需要有关人口流动的信息。我们的分析以波多黎各的飓风玛丽亚为例，检验了 Twitter 数据在衡量灾后人口流动方面的适用性。在居住在波多黎各的 Twitter 用户中，我们展示了流离失所的人数、流离失所的时间和目的地以及他们是否返回。在灾难后抵达波多黎各的 Twitter 用户中，我们显示了他们旅行的时间和目的地。我们发现 8.3% 的居民样本在飓风玛丽亚之后的几个月内搬迁，近 4% 的居民样本在 9 个月后仍然流离失所。在飓风玛丽亚之后的一年里，波多黎各的游客人数大幅下降，尤其是在旅游区。虽然我们的 Twitter 数据不能代表波多黎各人口，