Abstract
Loss estimation for landslides has largely relied on historical slides to serve as a guide for what may be expected in future events. Little has been done to evaluate the role socio-economic factors may play. This paper uses data from the U.S. on landslide events combined with demographic data from the U.S. decennial census to create an econometric loss estimation model. The model shows how a similar event may differ in the amount of damage depending on changes in population, income and other variables and provides a proto-type for the development of future damage functions on landslides.
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Natural Hazards Center, Boulder CO.
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Information about the HAZAUS program can be found at: http://www.fema.gov/plan/prevent/hazus/index.shtm
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GINI coefficient is a measure of income inequality.
References
Greene WH (2003) Econometric analysis, 5th edn. Prentice Hall, Upper Saddle River, 1026 p. ISBN 0-13-066189-9
Hazards and Vulnerability Research Institute (2009) The spatial hazard events and losses database for the United States, Version 7.0 (Online Database). University of South Carolina, Columbia. URL: http://www.sheldus.org. Last accessed 8 Aug 2011
Heckman JJ (1976) The common structure of statistical models of Truncation, sample selection, and limited dependent variables and a simple estimator for such models. Ann Econ Soc Measure 5:475–492
Highland L (2006) Estimating landslide losses-preliminary results of a seven state pilot project. US Geological Survey, Open-File Report 2006-1032
National Research Council (1985) Reducing losses from landslides in the United States: committee on ground failure hazards, commission on engineering and technical systems. National Research Council, Washington, DC
Putnam WC, Sharp RP (1940) Landslides and Earthflows near Ventura, Southern California. Geograph Rev 30:591–600
US Geological Survey (2005) Southern California landslides – an overview. USGS Fact Sheet 2005-3107, URL: http://pubs.usgs.gov/fs/2005/3107/pdf/FS-3107.pdf. Last accessed 10 Aug 2011
Wang Y, Summers RD, Hofmeister RJ (2002) Landslide loss estimation: pilot project in Oregon. State of Oregon Department of Geology and Mineral Industries. Open-File Report O-02-05
Acknowledgements
I have been very fortunate to have the opportunity to work with the International Centre for Geohazards in Oslo, Norway while serving as a Fulbright Scholar during my sabbatical. Their assistance and guidance on this project has been invaluable. Additionally, I would like to thank the Landslide Mitigation Unit of the U.S. Geological Survey in Golden, CO. who helped me prepare for this project.
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Simmons, K.M. (2013). Landslide Damages: An Econometric Model for Estimating Potential Losses. In: Margottini, C., Canuti, P., Sassa, K. (eds) Landslide Science and Practice. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31313-4_16
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DOI: https://doi.org/10.1007/978-3-642-31313-4_16
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