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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Notes
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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.
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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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