Can Thanksgiving Destinations Predict Climate Migration Patterns?

Findings Pub Date : 2024-06-14 DOI:10.32866/001c.117432
Chaeyeon Han, Uijeong Hwang, S. Guhathakurta
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Abstract

This research explores the relationship between climate-induced migration destination choice and social ties in the US, using anonymized smartphone data from SafeGraph. It shows that Thanksgiving travel patterns correlate with relocations following Hurricanes Harvey, Irma, and Maria. Findings reveal a statistically significant positive correlation, suggesting that states with a greater change in visitors during Thanksgiving week compared to regular week are likelier destinations for post-disaster relocation, emphasizing social ties’ crucial role in such decisions. This research highlights the need for urban planning and emergency management to consider the spatial distribution of social networks, which could inform evacuation strategies and disaster recovery policies.
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感恩节目的地能否预测气候迁移模式?
本研究利用 SafeGraph 的匿名智能手机数据,探讨了美国气候引起的移民目的地选择与社会关系之间的关系。研究表明,感恩节旅行模式与飓风哈维、伊尔玛和玛丽亚之后的迁移相关。研究结果表明,在统计学上存在显著的正相关性,这表明感恩节周与正常周相比游客变化较大的州更有可能成为灾后迁移的目的地,这也强调了社会关系在此类决策中的关键作用。这项研究强调,城市规划和应急管理需要考虑社交网络的空间分布,这可以为疏散战略和灾后恢复政策提供参考。
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