Applying the Land Use Portfolio Model with Hazus to analyse risk from natural hazard events
International Journal of Risk Assessment and Management
By: Laura B. Dinitz and Richard A. Taketa
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Abstract
This paper describes and demonstrates the integration of two geospatial decision-support systems for natural-hazard risk assessment and management. Hazus is a risk-assessment tool developed by the Federal Emergency Management Agency to identify risks and estimate the severity of risk from natural hazards. The Land Use Portfolio Model (LUPM) is a risk-management tool developed by the U.S. Geological Survey to evaluate plans or actions intended to reduce risk from natural hazards. We analysed three mitigation policies for one earthquake scenario in the San Francisco Bay area to demonstrate the added value of using Hazus and the LUPM together. The demonstration showed that Hazus loss estimates can be input to the LUPM to obtain estimates of losses avoided through mitigation, rates of return on mitigation investment, and measures of uncertainty. Together, they offer a more comprehensive approach to help with decisions for reducing risk from natural hazards.
Suggested Citation
Dinitz, L.B., and Taketa, R.A., 2013, Applying the Land Use Portfolio Model with Hazus to analyse risk from natural hazard events: International Journal of Risk Assessment and Management, v. 17, no. 1, p. 69-88, https://doi.org/10.1504/IJRAM.2013.054381.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Applying the Land Use Portfolio Model with Hazus to analyse risk from natural hazard events |
| Series title | International Journal of Risk Assessment and Management |
| DOI | 10.1504/IJRAM.2013.054381 |
| Volume | 17 |
| Issue | 1 |
| Year Published | 2013 |
| Language | English |
| Publisher | Inderscience Publishers |
| Contributing office(s) | Western Geographic Science Center |
| Description | 20 p. |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | International Journal of Risk Assessment and Management |
| First page | 69 |
| Last page | 88 |