Application of Multidisciplinary Community Resilience Modeling to Reduce Disaster Risk: Building Back Better

被引:1
|
作者
Wang, Wanting Lisa [1 ]
van de Lindt, John W. [1 ]
Johnston, Blythe [1 ]
Crawford, P. Shane [2 ]
Yan, Guirong [3 ]
Dao, Thang [2 ,4 ]
Do, Trung [5 ]
Skakel, Katie [1 ]
Harati, Mojtaba [1 ]
Nguyen, Tu
Umeike, Robinson [2 ]
Croope, Silvana [6 ]
R. Barbosa, Andre [7 ]
机构
[1] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA
[2] Univ Alabama, Dept Civil Construct & Environm Engn, Tuscaloosa, AL 35487 USA
[3] Missouri Univ Sci & Technol, Dept Civil Architectural & Environm Engn, Rolla, MO 65409 USA
[4] Univ S Alabama, Dept Civil Coastal & Environm Engn, Mobile, AL 36688 USA
[5] Colorado State Univ, Ctr Risk Based Community Resilience Planning, Ft Collins, CO 80523 USA
[6] Univ Alabama, Alabama Transportat Inst, Tuscaloosa, AL 35487 USA
[7] Oregon State Univ, Sch Civil & Construct Engn, Corvallis, OR 97331 USA
关键词
Building design changes; Disaster recovery; Forecast; Hindcast; Residential buildings; Tornado resilience; PORTFOLIOS; RECOVERY;
D O I
10.1061/JPCFEV.CFENG-4650
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
From December 10 to December 11, 2021, a deadly tornado outbreak struck across several states in the US, including Arkansas, Illinois, Kentucky, and Tennessee. This tornado outbreak resulted in at least $3.9 billion in damage, more than 90 fatalities, and hundreds of injuries. Mayfield, Kentucky, a small city in the eastern United States, was hit by a long-track tornado rated as an Enhanced Fujita 4 (EF4) scale and was one of the communities most heavily damaged during the tornado outbreak. Following the 2021 tornado event, an analysis was performed in the Interdependent Networked Community Resilience Modeling Environment (IN-CORE) for the City of Mayfield to investigate a design code change for residential structures and its effect on communitywide metrics related to functionality and dislocation. Specifically, the IN-CORE modeling environment was used to hindcast the community-level building damage and forecast the community-level building recovery in Mayfield for residential buildings. This required the development of a Mayfield test bed for IN-CORE with a focus on buildings. The generalization of multidisciplinary community resilience modeling from a test bed community to a real community impacted by a recent major tornado event is intended to benchmark that IN-CORE has a strong potential and capability to forecast/hindcast community resilience and provide what-if scenarios for decision makers, city planners, and stakeholders in communities with similar sizes.
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页数:12
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