Developing A "Living Laboratory" for Examining Community Recovery and Resilience After Disaster

开发“生活实验室”来检查灾后社区的恢复和复原力

• 批准号: 0928926
• 负责人: Shannon Van Zandt
• 金额: $ 37.4万
• 依托单位: Texas A&M Research Foundation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0928926&HistoricalAwards=false
• 关键词: Developing; Living; Laboratory; Examining; Community; Developing; Living; Laboratory; Examining; Community

This research builds upon several existing research initiatives along the Texas coast to provide a "living laboratory" for examining community recovery and resilience after a disaster. The Texas coast is quickly becoming the fastest growing area in the United States, exposing potentially millions more people to the adverse impacts of meteorologically-based disasters. Most recently, Hurricane Ike made landfall overnight on September 12, 2008 near Galveston, Texas. Prior to Hurricane Ike, the Texas Coastal Communities Planning Atlas documented the physical, environmental, regulatory, and social development patterns present along the Texas Coast (see coastalatlas.tamug.edu). Data collection under NSF Small Grant for Exploratory Research (SGER) CMMI-0901605 provided immediate data on impact, dislocation, and early repair and rebuilding decisions. These data provide baseline measures for the proposed research measuring community recovery at multiple scales over a two-year period. Using the original sample, the researchers will establish a series of panel studies of households, housing units, business owners, businesses, and business structures to track recovery trajectories and adaptive learning. A geo-coded parcel-level dataset allows us to aggregate units to draw conclusions at multiple scales. In addition, the researchers will, through participatory observation analysis, qualitative interviews, and documentary analysis, track policy changes by county and city governments to assess adaptive management and social learning.The disaster research community has called for increasingly systematic and quantitative approaches to modeling the impacts and recovery processes following a disaster, with greater attention to measuring recovery at multiple levels, to better model community resilience. Systematic identification of the key decisions made by public authorities regarding disaster preparedness, response, recovery and mitigation planning and policy development is also needed to assess a critical dimension of resiliency associated with adaptive learning. The synergy of this research with existing projects provides the ability to do just that - to quantitatively model the dynamics of the built, regulatory, and social environment from pre-hazard event to community response, learning, and recovery - each of which are key dimensions in resilience. Findings from this research will leverage existing outreach tools to further knowledge that will enable local communities and professionals involved in the design, regulation, and management of the built and natural environments to construct communities that are more socially and physically resilient.

这项研究基于德克萨斯海岸沿线的几项现有研究举措，为灾难发生后的社区恢复和韧性提供了“活实验室”。 得克萨斯州海岸迅速成为美国增长最快的地区，使数百万的人遭受基于气象的灾难的不利影响。 最近，艾克飓风于2008年9月12日在得克萨斯州加尔维斯顿附近登陆。 在伊克飓风之前，得克萨斯州沿海社区计划地图集记录了德克萨斯州沿海地区存在的物理，环境，监管和社会发展模式（请参阅Coastalatlas.tamug.edu）。 NSF小型资助探索性研究（SGER）CMMI-0901605的数据收集提供了有关影响，错位以及早期维修和重建决策的即时数据。 这些数据为拟议的研究提供了基线措施，该研究在两年期间测量了多个尺度的社区恢复。 使用原始样本，研究人员将对家庭，住房单位，企业主，企业和企业结构进行一系列小组研究，以跟踪恢复轨迹和自适应学习。 地理编码的包裹级数据集使我们能够汇总单位以多个尺度得出结论。 此外，研究人员将通过参与式观察分析，定性访谈和文献分析，跟踪县和城市政府的政策变化，以评估自适应管理和社会学习。灾难研究社区呼吁采取越来越多的系统和定量方法来建模灾难的影响和恢复过程，并在多个层次上恢复恢复，以更好地建模社区的恢复，以更好地建模社区的恢复。 还需要系统地确定公共当局在准备灾难，响应，恢复和缓解计划和政策制定方面做出的关键决策，以评估与自适应学习相关的弹性的关键维度。 这项研究与现有项目的协同作用提供了做到这一点的能力 - 定量地对从危险事件到社区响应，学习和恢复的建筑，监管和社会环境的动态建模 - 每一个都是弹性的关键维度。 这项研究的发现将利用现有的外展工具来进一步的知识，这将使参与建筑和自然环境的设计，法规和管理的当地社区和专业人员能够建立在社会和身体上更有弹性的社区。