Developing Optimal Hazard Investment Strategies
There has been a significant increase in natural disasters that have negatively affected the U.S. economy in recent decades. The Government Accountability Office reported that the U.S. is not well prepared to manage large-scale natural disasters either through emergency response or financial relief. It is essential to develop integrated post-disaster investment strategies that avoid many of the pitfalls that have been observed following recent catastrophic events. This paper proposes a conceptual framework to build theoretical foundation and demonstrate technologies for creating a decision support system for optimizing stakeholders' resource allocation in natural hazards. The proposed framework will: (1) minimize the total costs associated with implementing such investment strategies and (2) maximize the uniformity of welfare distribution among all associated parties. This would provide broad members of the emergency management community as well as policy makers with easy-to-use preparedness and decision support tool, which would help in creating better societal financial resilience towards natural hazards.
I. H. El-Adaway and O. H. El-Anwar, "Developing Optimal Hazard Investment Strategies," Proceedings of the 2010 Construction Research Congress (2010, Banff, Alberta, Canada), pp. 420-429, American Society of Civil Engineers (ASCE), May 2010.
The definitive version is available at https://doi.org/10.1061/41109(373)42
Construction Research Congress 2010: Innovation for Reshaping Construction Practice (2010: May 8-10, Banff, Alberta, Canada)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Catastrophic event; Conceptual frameworks; Decision support tools; Emergency management; Emergency response; Government accountability offices; Investment strategies; Investment strategy; Multi agent simulation; Natural disasters; Natural hazard; Policy makers; Post-disaster financial relief; Theoretical foundations; Total costs, Artificial intelligence; Decision making; Decision support systems; Decision theory; Disaster prevention; Disasters; Economics; Investments; Research; Risk management; Strategic planning, Multiobjective optimization
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2010 American Society of Civil Engineers (ASCE), All rights reserved.
01 May 2010