SCC-PG: Flood Hazard Management & Practitioner Information Network for Florida Coastal Communities

SCC-PG：洪水灾害管理

• 批准号: 1951997
• 负责人: Ravi Srinivasan
• 金额: $ 15万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-15 至 2021-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1951997&HistoricalAwards=false
• 关键词: SCC; PG; Flood; Hazard; Management

Florida ranks first in the nation for estimated potential residential exposure to hurricane storm surge damage. Fundamental to pre-disaster planning and post-disaster recovery activities is the availability of integrated datasets that can help communities better understand the type and quantity of affordable housing stock at risk. However, oftentimes, even when available, these datasets may be outdated, incomplete, not shared across local departmental jurisdictions, or need significant processing to become more useful for planning and recovery activities. There is an urgent need for practitioners to be able to leverage each other’s information, skills, and experience to develop forward-looking strategies to create a more resilient affordable housing system. This Planning Grant project creates a Flood Hazard Management and Practitioner Information Network for Florida Coastal Communities to establish the foundation for future pre- and post-disaster management as well as strengthening technological and social/planning issues related to coastal communities. This project will focus on co-producing a more comprehensive description of the problem and the challenges to creating more resilient affordable housing, as well as co-producing a process to develop solutions that are both effective and useful to the community. To seed this new Practitioner Information Network, University of Florida will collaborate with a county and a Regional Planning Council in Florida which can be scaled across broader regions. This Smart & Connected Communities Planning Grant project creates a Flood Hazard Management and Practitioner Information Network for Florida Coastal Communities to establish the foundation for future pre- and post-disaster management as well as strengthening technological and social/planning issues related to coastal communities. This project answers integrative research challenges under three Research Trusts: (1) Data and Information: Creating a Neighborhood Flood Hazard typologies; (2) Increasing Information Access - Smart and Connected Information Infrastructure; and (3) Connecting Communities - Flood Hazard Management and Practitioner Information Network. Among others, this project develops and tests novel scalable methods to seamlessly acquire, validate, and transfer data related to three pilot communities in a county’s residential structures’ Lowest Floor Elevation and other pertinent characteristics that determines flood hazard to a Housing Information System. Scalable methods include image-based processing via publicly available street views and data gathered via crowd source. Through two community-based participatory workshops, this project co-produces a more comprehensive description of the problem and the challenges to creating more resilient affordable housing as well as a process to develop solutions that are both effective and useful to the community.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.

据估计，佛罗里达的住宅可能遭受飓风风暴潮的破坏，在全国排名第一。灾前规划和灾后恢复活动的基础是提供综合数据集，帮助社区更好地了解面临风险的经济适用住房的类型和数量。然而，即使有可用的数据集，这些数据集通常也可能过时、不完整、未在当地部门管辖范围内共享，或者需要进行大量处理才能对规划和恢复活动更有用。从业者迫切需要能够利用彼此的信息，技能和经验来制定前瞻性战略，以创建更具弹性的经济适用房系统。该规划补助金项目为佛罗里达沿海社区创建了一个洪水灾害管理和从业人员信息网络，为未来的灾前和灾后管理奠定基础，并加强与沿海社区有关的技术和社会/规划问题。该项目将侧重于共同制作一份关于问题和挑战的更全面的描述，以创建更具弹性的负担得起的住房，以及共同制作一个过程，以制定对社区既有效又有用的解决方案。为了建立这个新的从业者信息网络，佛罗里达大学将与佛罗里达的一个县和一个区域规划理事会合作，该委员会可以在更广泛的地区扩大规模。这个智能互联社区规划赠款项目为佛罗里达沿海社区创建了一个洪水灾害管理和从业人员信息网络，为未来的灾前和灾后管理奠定基础，并加强与沿海社区相关的技术和社会/规划问题。该项目回答了三个研究信托下的综合研究挑战：（1）数据和信息：创建一个社区洪水灾害类型学;（2）增加信息访问-智能和互联的信息基础设施;和（3）连接社区-洪水灾害管理和从业人员信息网络。除其他外，该项目开发和测试新的可扩展方法，以无缝地获取，验证和传输与一个县的住宅结构的最低楼层高度和其他相关特征，确定洪水危害的三个试点社区的数据到住房信息系统。可扩展的方法包括通过公开的街景和通过众包收集的数据进行基于图像的处理。通过两个以社区为基础的参与式研讨会，该项目共同制作了一个更全面的描述问题和挑战，以创造更具弹性的负担得起的住房，以及一个过程，以制定解决方案，既有效又有益于社区。这个奖项反映了NSF的法定使命，并已被认为是值得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的支持。