Perspectives on Loss Estimation Models and Metrics Chapter

abstract

• Several broad themes emerge in this chapter to point the way for strategic directions in the development of HAZUS and other tools for estimating losses from disasters. These include expanding and enhancing data types, data sources and data collection schedules. New empirical data collection efforts including network, engineering and building data, and measures of social and economic changes have the potential to strengthen loss estimation models and metrics. Network data, data on non-economic losses, and additional input from sociologists and social models are seen as essential elements, currently missing from existing methodology.

authors

• Peacock, Walter

author list (cited authors)

• Chang, S., Peacock, W. G., & French, S. P.

citation count

• 0

complete list of authors

• Chang, Stephanie||Peacock, Walter Gillis||French, Steven P

editor list (cited editors)

• Bostrom, A., French, S., & Gottlieb, S.

Book Title

• Risk Assessment, Modeling and Decision Support

publication date

• January 2008

publisher

• Springer Nature  Publisher

published in

• n2512-3076ISSN  Journal

keywords

• Behavioral And Social Science
• Generic Health Relevance

Digital Object Identifier (DOI)

• 10.1007/978-3-540-71158-2_7

International Standard Book Number (ISBN) 13

• 9783540711575

start page

• 171

end page

• 183

URL

• http://dx.doi.org/10.1007/978-3-540-71158-2_7