Timely identification of disaster-prone neighborhoods and examination of disparity in disaster exposure are critical for policymakers to plan efficient disaster management strategies. Many studies have investigated racial, ethnic, and geographic disparities and populations most vulnerable to disasters. However, little attention has been paid to the development of easily accessible and reusable tools to enable: (1) the prompt identification of vulnerable neighborhoods; and (2) the examination of social disparity in disaster impact. In this research, we have developed a visual analytics tool that allows users to: (1) delineate neighborhoods based on their selection of variables; and (2) explore which neighborhoods are susceptible to the impacts of disasters based on specific socioeconomic and demographic characteristics. Through an exploration of COVID-19 data in the case study, we revealed that the tool can provide new insights into the identification of vulnerable neighborhoods that need immediate attention for disaster control, management, and relief.

中文翻译：

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探索社区级社会脆弱性以进行灾害风险管理的网络GIS方法

及时识别易受灾害的社区并检查受灾情况的差异对于政策制定者规划有效的灾害管理战略至关重要。许多研究调查了种族、民族和地理差异以及最容易遭受灾害的人群。然而，人们很少关注开发易于访问和可重复使用的工具，以实现：（1）及时识别脆弱社区；(2) 审查灾害影响的社会差异。在这项研究中，我们开发了一种可视化分析工具，允许用户：（1）根据他们选择的变量来描绘社区；(2) 根据具体的社会经济和人口特征，探讨哪些社区容易受到灾害的影响。通过对案例研究中的 COVID-19 数据的探索，我们发现该工具可以为识别需要立即关注灾害控制、管理和救援的脆弱社区提供新的见解。