RAPID: Exploring Impacts of Cascading Failure and Recovery Efforts of Interdependent Critical Infrastructure in Socially Vulnerable Puerto Rican Communities After Hurricane Fiona

RAPID：探索飓风菲奥娜后波多黎各社会脆弱社区中相互依存的关键基础设施的级联故障和恢复工作的影响

• 批准号: 2308524
• 负责人: Diana Ramirez-Rios
• 金额: $ 5万
• 依托单位: SUNY at Buffalo
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2308524&HistoricalAwards=false
• 关键词: RAPID; Exploring; Impacts; Cascading; Failure

Hurricane Fiona severely impacted Southwestern Puerto Rico, provoking landslides, unleashing flooding across the Island, and obliterating the power grid. Such impacts are quite unusual for a Category 1 hurricane, raising concerns about disaster-preparedness of the US Territory that faces a multilayered socioeconomic crisis rooted in long-standing policy, migration, and poor budget practices. While it is well-known that disasters and subsequent recovery efforts exacerbate the socioeconomic disparities among marginalized groups, there is a lack of understanding of how these groups are being impacted by the cascading critical infrastructure (CI) failures and delays in the restoration process. While the role of CI interdependencies has gained importance for analyzing cascading failures, their linkage to restoration activities after a hurricane and the compounding effect on community recovery have not yet been extensively studied or systematically documented. This Grant for Rapid Response Research (RAPID) award supports the collection of time-sensitive data to study the impacts of cascading hurricane-induced failures of electric and transportation networks on socially vulnerable Puerto Rican communities and to understand the relationships between CI restoration activities and faster community recovery. The research findings will fill an important data gap for the development of community-based multi-infrastructure optimal recovery and reconstruction strategies.This research will quantify the impacts of cascading failures of power grid and transportation systems on socially vulnerable communities and capture the dynamic relationships of CI restoration interdependencies with the community recovery process. In addition to data collected from publicly available sources, the research team will conduct interviews and focused-group surveys of the emergency managers and infrastructure operators to understand the multidimensional impacts on the hardest-hit Puerto Rican communities and investigate how the restoration decisions are associated with the challenges and resource constraints. The team will also conduct a focused-group survey of the households from communities of high social vulnerability to document their actual and perceived harms owing to hurricane-induced infrastructure failure and the delayed community recovery. This project will generate valuable information to better inform decision-makers to anticipate future disruptions in CI systems and plan for efficient and equitable restoration strategies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

飓风菲奥娜严重影响了波多黎各西南部，引发山体滑坡，引发全岛洪水，并摧毁了电网。对于 1 级飓风来说，这种影响相当不寻常，引发了人们对美国领土备灾工作的担忧，美国领土面临着源于长期政策、移民和不良预算实践的多层次社会经济危机。众所周知，灾害和随后的恢复工作加剧了边缘化群体之间的社会经济差距，但人们缺乏了解这些群体如何受到连锁关键基础设施 (CI) 故障和恢复过程延误的影响。虽然 CI 相互依赖性的作用对于分析级联故障越来越重要，但它们与飓风后恢复活动的联系以及对社区恢复的复合效应尚未得到广泛研究或系统记录。该快速响应研究资助 (RAPID) 奖项支持收集时间敏感数据，以研究飓风引发的电力和交通网络连锁故障对社会脆弱的波多黎各社区的影响，并了解 CI 恢复活动和更快的社区恢复之间的关系。研究结果将为制定基于社区的多基础设施最优恢复和重建策略填补重要的数据空白。本研究将量化电网和交通系统的级联故障对社会脆弱社区的影响，并捕捉CI恢复相互依赖与社区恢复过程的动态关系。除了从公开来源收集的数据外，研究团队还将对应急管理人员和基础设施运营商进行访谈和焦点小组调查，以了解对受灾最严重的波多黎各社区的多维影响，并调查恢复决策如何与挑战和资源限制相关。该小组还将对社会高度脆弱社区的家庭进行焦点小组调查，记录他们因飓风引起的基础设施故障和社区恢复延迟而造成的实际和感知的伤害。该项目将产生有价值的信息，以便更好地为决策​​者提供信息，以预测 CI 系统未来的中断，并规划有效和公平的恢复策略。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。