In recent years, building resilient communities to disasters has become one of the core objectives in the field of disaster management globally. Despite being frequently targeted and severely impacted by disasters, the geographical extent in studying disaster resilience of the coastal communities of the United States (US) has been limited. In this study, we developed a composite community disaster resilience index (CCDRI) for the coastal communities of the conterminous US that considers different dimensions of disaster resilience. The resilience variables used to construct the CCDRI were justified by examining their influence on disaster losses using ordinary least squares (OLS) and geographically weighted regression (GWR) models. Results suggest that the CCDRI score ranges from −12.73 (least resilient) to 8.69 (most resilient), and northeastern communities are comparatively more resilient than southeastern communities in the study area. Additionally, resilience components used in this study have statistically significant impact on minimizing disaster losses. The GWR model performs much better in explaining the variances while regressing the disaster property damage against the resilience components (explains 72% variance) than the OLS (explains 32% variance) suggesting that spatial variations of resilience components should be accounted for an effective disaster management program. Moreover, findings from this study could provide local emergency managers and decision-makers with unique insights for enhancing overall community resilience to disasters and minimizing disaster impacts in the study area.

中文翻译：

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衡量美国沿海地区的社区抗灾能力

近年来，建设具有抗灾能力的社区已成为全球灾难管理领域的核心目标之一。尽管经常成为灾难的目标并受到灾难的严重影响，但是研究美国沿海社区（美国）的灾难复原力的地理范围仍然有限。在这项研究中，我们针对美国本土沿海地区开发了一个综合社区灾难复原力指数（CCDRI），该指数考虑了灾难复原力的不同方面。通过使用普通最小二乘（OLS）和地理加权回归（GWR）模型检查其对灾害损失的影响，证明了用于构建CCDRI的弹性变量是合理的。结果表明，CCDRI得分范围为-12.73（最低弹性）至8.69（最高弹性），在研究区域内，东北社区比东南社区更具弹性。此外，本研究中使用的弹性组件对减少灾难损失具有统计学上的显着影响。与OLS（解释为32％的方差）相比，GWR模型在解释方差时能更好地解释方差，同时将灾难属性损害针对弹性成分（解释为72％的方差）进行了回归，这表明应对弹性成分的空间变化可以有效地管理灾害程序。此外，这项研究的结果可以为当地的应急管理人员和决策者提供独特的见解，以增强社区对灾害的整体抵御能力，并最大程度地减少研究区域的灾害影响。