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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.
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 |
