灾害的不平等影响:评估美国社会脆弱性、公共援助、洪水保险和移民之间的相互作用

Urban informatics Pub Date : 2024-01-01 Epub Date: 2024-11-01 DOI:10.1007/s44212-024-00061-9
Yu Han, Xinyue Ye, Chunwu Zhu
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引用次数: 0

摘要

极端天气事件,如强降雨飓风和风暴潮,正在给世界各地的地方社区带来越来越多的挑战。这些灾害不仅造成巨大的财产损失,还导致大量人口流离失所。联邦灾害援助计划对于为灾害响应和恢复提供财政支持至关重要,但由于环境、社会和制度因素的复杂相互作用,这些资源的分配往往不平等。本研究依靠从不同来源收集的数据集,采用结构方程模型探讨了美国毗连地区各县的灾害损失(DD)、社会脆弱性(SV)、公共灾害援助(PDA)、国家洪水保险(NFI)和人口迁移(PM)之间的复杂关系。我们的研究结果表明,在美国各县中,SV 较低的社区往往经历较高水平的 DD。SV 与 PM、PDA 和 NFI 直接或间接呈负相关。此外,PDA 与 PM 呈正相关,而 DD 对 PM 有直接的负面影响,但通过 PDA 有间接的正面影响。
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The Unequal Impact of Disasters: Assessing the Interplay Between Social Vulnerability, Public Assistance, Flood Insurance, and Migration in the U.S.

Extreme weather events, such as hurricanes with intense rainfall and storm surges, are posing increasing challenges to local communities worldwide. These hazards not only result in substantial property damage but also lead to significant population displacement. Federal disaster assistance programs are crucial for providing financial support for disaster response and recovery, but the allocation of these resources often unequal due to the complex interplay of environmental, social, and institutional factors. Relying on datasets collected from diverse sources, this study employs a structural equation model to explore the complex relationships between disaster damage (DD), social vulnerability (SV), public disaster assistance (PDA), the national flood insurance (NFI), and population migration (PM) across counties in the contiguous US. Our findings reveal that communities with lower SV tend to experience higher levels of DD across US counties. SV is negatively associated with PM, PDA, and NFI, both directly and indirectly. Furthermore, PDA is positively linked to PM, whereas DD has a direct negative effect on PM but an indirect positive effect through PDA.

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