论文标题

高分辨率的人类流动数据揭示了灾难疏散模式中的种族和财富差异

High-resolution human mobility data reveal race and wealth disparities in disaster evacuation patterns

论文作者

Deng, Hengfang, Aldrich, Daniel P., Danziger, Michael M., Gao, Jianxi, Phillips, Nolan E., Cornelius, Sean P., Wang, Qi Ryan

论文摘要

极端天气事件等重大灾难会放大和加剧预先存在的社会差异,而处于不利成本的人口不成比例。尽管对公平和紧急计划有影响,但我们对这些社会断层线如何转化为在大规模紧急情况下的不同行为方面缺乏定量理解。在这里,我们在哈维飓风的背景下调查了这个问题,使用了超过3000万个匿名的GPS记录,来自大休斯顿地区的15万名选定用户,以量化灾难造成的搬迁活动模式之前,期间和之后。我们表明,从种族和财富分类的不同类型的社区中的个体中,疏散距离是高度同质的,遵守了截断的幂律分布。然而,相似之处结束了:我们发现种族和财富都会影响疏散模式,而处于不利的少数民族人口比较富裕的白人居民疏散的可能性更低。最后,关于种族和财富的出发时间和返回时间,存在很大的差异,在目的地选择中,从优越的社区中撤离的社会凝聚力很强。这些经验发现为移动性和撤离提供了新的见解,为居民,决策者和灾难经理提供了政策建议。

Major disasters such as extreme weather events can magnify and exacerbate pre-existing social disparities, with disadvantaged populations bearing disproportionate costs. Despite the implications for equity and emergency planning, we lack a quantitative understanding of how these social fault lines translate to different behaviors in large-scale emergency contexts. Here we investigate this problem in the context of Hurricane Harvey, using over 30 million anonymized GPS records from over 150,000 opted-in users in the Greater Houston Area to quantify patterns of disaster-inflicted relocation activities before, during, and after the shock. We show that evacuation distance is highly homogenous across individuals from different types of neighborhoods classified by race and wealth, obeying a truncated power-law distribution. Yet here the similarities end: we find that both race and wealth strongly impact evacuation patterns, with disadvantaged minority populations less likely to evacuate than wealthier white residents. Finally, there are considerable discrepancies in terms of departure and return times by race and wealth, with strong social cohesion among evacuees from advantaged neighborhoods in their destination choices. These empirical findings bring new insights into mobility and evacuations, providing policy recommendations for residents, decision makers, and disaster managers alike.

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