Literature DB >> 17362402

Understanding the economic costs and benefits of catastrophes and their aftermath: a review and suggestions for the U.S. federal government.

Michael R Greenberg1, Michael Lahr, Nancy Mantell.   

Abstract

The number and magnitude of devastating natural and human events make it imperative that we actively and systematically estimate the costs and benefits of policy decisions in affected localities, regions, states, and nations. Such strategic risk management preparedness efforts should forecast well into the future and include scenarios with and without enhanced engineered structures; with reduced vulnerability through land-use planning and design; with the impact of resiliency and mitigation; with evacuation and relocation; and with the costs and benefits of recovery and restoration. We describe different kinds of regional economic models that can be used in these preparedness planning efforts, explore critical data needs, and advocate a shared federal-state-local strategic planning effort to accomplish the objective.

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Year:  2007        PMID: 17362402     DOI: 10.1111/j.1539-6924.2006.00861.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  3 in total

1.  Passenger rail security, planning, and resilience: application of network, plume, and economic simulation models as decision support tools.

Authors:  Michael Greenberg; Paul Lioy; Birnur Ozbas; Nancy Mantell; Sastry Isukapalli; Michael Lahr; Tayfur Altiok; Joseph Bober; Clifton Lacy; Karen Lowrie; Henry Mayer; Jennifer Rovito
Journal:  Risk Anal       Date:  2013-05-29       Impact factor: 4.000

2.  Ten most important accomplishments in risk analysis, 1980-2010.

Authors:  Michael Greenberg; Charles Haas; Anthony Cox; Karen Lowrie; Katherine McComas; Warner North
Journal:  Risk Anal       Date:  2012-05       Impact factor: 4.000

3.  Stay in Risk Area: Place Attachment, Efficacy Beliefs and Risk Coping.

Authors:  Chen Qing; Shili Guo; Xin Deng; Wei Wang; Jiahao Song; Dingde Xu
Journal:  Int J Environ Res Public Health       Date:  2022-02-18       Impact factor: 3.390

  3 in total

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