Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior
An integral part of disaster risk management is identifying and prioritizing hazards and their potential impacts in a meaningful way to support risk-reduction planning. There has been considerable use and subsequent criticism of threat prioritization efforts that simply compare likelihoods and consequences of plausible threats. This data supports an article that summarizes a new mixed-methods and scalable approach for prioritizing risks in a multi-hazard, multi-objective, and multi-criteria organizational context. This data describes (1) hazard characterizations using subject-matter-expert (SME) elicitation, (2) expressed preferences in planning priorities provided by emergency managers, and (3) quantitative estimates of asset exposure to hazards using geospatial data and geographic-information-systems (GIS) software. This data was derived from a case study designed to support multi-hazard mitigation and response planning done by the U.S. Department of the Interior (DOI) Office of Emergency Management, which required a national understanding of the risks posed by 75 different various natural, technological, and adversarial hazards to DOI lands, facilities, people, revenues, and resources.
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[ "010:12" ] |
| contactPoint |
{ "fn": "Kevin D Henry", "@type": "vcard:Contact", "hasEmail": "mailto:khenry@usgs.gov" } |
| description | An integral part of disaster risk management is identifying and prioritizing hazards and their potential impacts in a meaningful way to support risk-reduction planning. There has been considerable use and subsequent criticism of threat prioritization efforts that simply compare likelihoods and consequences of plausible threats. This data supports an article that summarizes a new mixed-methods and scalable approach for prioritizing risks in a multi-hazard, multi-objective, and multi-criteria organizational context. This data describes (1) hazard characterizations using subject-matter-expert (SME) elicitation, (2) expressed preferences in planning priorities provided by emergency managers, and (3) quantitative estimates of asset exposure to hazards using geospatial data and geographic-information-systems (GIS) software. This data was derived from a case study designed to support multi-hazard mitigation and response planning done by the U.S. Department of the Interior (DOI) Office of Emergency Management, which required a national understanding of the risks posed by 75 different various natural, technological, and adversarial hazards to DOI lands, facilities, people, revenues, and resources. |
| distribution |
[ { "@type": "dcat:Distribution", "title": "Digital Data", "format": "XML", "accessURL": "https://doi.org/10.5066/P9RKTXCT", "mediaType": "application/http", "description": "Landing page for access to the data" }, { "@type": "dcat:Distribution", "title": "Original Metadata", "format": "XML", "mediaType": "text/xml", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.632254d1d34e71c6d67ab690.xml" } ] |
| identifier | http://datainventory.doi.gov/id/dataset/USGS_632254d1d34e71c6d67ab690 |
| keyword |
[ "USGS:632254d1d34e71c6d67ab690", "coastal processes", "environment", "hazard preparedness", "hazards", "mitigation of coastal hazards", "ocean processes", "society" ] |
| modified | 2022-10-20T00:00:00Z |
| publisher |
{ "name": "U.S. Geological Survey", "@type": "org:Organization" } |
| spatial | -178.2100, 18.9200, 179.7700, 71.3500 |
| theme |
[ "geospatial" ] |
| title | Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior |
