Built environment system resiliency subject to extreme events with fema ihp

Repairing and rebuilding structures following an extreme event requires capital. Due to shifting demographics, high-risk settlements are increasingly placing both populations and the built environment at substantial loss exposure to such extreme events. Instead of retaining extreme event risks associated with these settlements, owners tend to transfer the risk to government. The primary purpose of this research is to develop a post-disaster model to analyze the public structural indemnification influences on building construction resiliency and to develop a quantitative basis for pre-disaster planning to increase this resiliency. The framework consists of designing a model for analyzing the impact of extreme event reconstruction project municipal financing on built environment resiliency and ascertaining the primary stakeholder risk transfer. Specifically, the methodology entails an operational analysis and modeling of current post-disaster Federal Emergency Management Agency (FEMA) Individual and Households Program and determining its impact upon residential built environment resiliency. While resiliency is hazard specific, spatially dependent, and a complex amalgamation of many socioeconomic factors, a regional multistate approach will focus on Presidentially Declared Disasters concentrating on the coastal regions of Western Florida, Alabama, and Eastern Mississippi. The model establishes a quantitative metric for future public policy decision analysis pertaining extreme event indemnification, risk allocation, and resiliency.

Grantor dc:publisher

University of Alabama Libraries

Year dc:date.issued

2015

Author dc:creator

• Lester, Henry

Advisor dc:contributor.advisor

• Moynihan, Gary P.

Contributors dc:contributor

• Back, W. Edward
• Vereen, Stephanie C.
• Marks, Eric D.
• Perry, Marcus B.

• Civil engineering
• Industrial engineering
• Systems science

Statement dc:rights

• All rights reserved by the author unless otherwise indicated.

Language dc:language.iso

en_US, English

Dc Identifier Other

u0015_0000001_0002139
Lester_alatus_0004D_12535

OAI identifier oai:identifier

oai:ir.ua.edu:123456789/3034