Data schemas for multiple hazards, exposure and vulnerability

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dc.contributor.authorMurnane, Richard J.
dc.contributor.authorAllegri, Giovanni
dc.contributor.authorBushi, Alphonce
dc.contributor.authorDabbeek, Jamal
dc.contributor.authorMoel, Hans de
dc.contributor.authorDuncan, Melanie
dc.contributor.authorFraser, Stuart
dc.contributor.authorGalasso, Carmine
dc.contributor.authorGiovando, Cristiano
dc.contributor.authorHenshaw, Paul
dc.contributor.authorHorsburgh, Kevin
dc.contributor.authorHuyck, Charles
dc.contributor.authorJenkins, Susanna
dc.contributor.authorJohnson, Cassidy
dc.contributor.authorKamihanda, Godson
dc.contributor.authorKijazi, Justice
dc.contributor.authorKikwasi, Wilberforce
dc.contributor.authorKombe, Wilbard
dc.contributor.authorLoughlin, Susan
dc.contributor.authorLøvholt, Finn
dc.contributor.authorMasanja, Alex
dc.contributor.authorMbongoni, Gabriel
dc.contributor.authorMinas, Stelios
dc.contributor.authorMsabi, Michael
dc.contributor.authorMsechu, Maruvuko
dc.contributor.authorMtongori, Habiba
dc.contributor.authorNadim, Farrokh
dc.contributor.authorO’Hara, Mhairi
dc.contributor.authorPagani, Marco
dc.contributor.authorPhillips, Emma
dc.contributor.authorRossetto, Tiziana
dc.contributor.authorRudari, Roberto
dc.contributor.authorSangana, Peter
dc.contributor.authorSilva, Vitor
dc.contributor.authorTwigg, John
dc.contributor.authorUhinga, Guido
dc.contributor.authorVerrucci, Enrica
dc.date.accessioned2020-09-07T08:23:31Z
dc.date.available2020-09-07T08:23:31Z
dc.date.issued2019
dc.descriptionAbstract. The full-text article is available at https://doi.org/10.1108/DPM-09-2019-0293en_US
dc.description.abstractPurpose: Using risk-related data often require a significant amount of upfront work to collect, extract and transform data. In addition, the lack of a consistent data structure hinders the development of tools that can be used with more than one set of data. The purpose of this paper is to report on an effort to solve these problems through the development of extensible, internally consistent schemas for risk-related data. Method: The consortia coordinated their efforts so the hazard, exposure and vulnerability schemas are compatible. Hazard data can be provided as either event footprints or stochastic catalogs. Exposure classes include buildings, infrastructure, agriculture, livestock, forestry and socio-economic data. The vulnerability component includes fragility and vulnerability functions and indicators for physical and social vulnerability. The schemas also provide the ability to define uncertainties and allow the scoring of vulnerability data for relevance and quality. Findings: As a proof of concept, the schemas were populated with data for Tanzania and with exposure data for several other countries. Research limitations/implications: The data schema and data exploration tool are open sources and, if widely accepted, could become widely used by practitioners. Practical implications: A single set of hazard, exposure and vulnerability schemas will not fit all purposes. Tools will be needed to transform the data into other formats.en_US
dc.identifier.citationMurnane, R. J., Allegri, G., Bushi, A., Dabbeek, J., de Moel, H., Duncan, M., ... & Horsburgh, K. (2019). Data schemas for multiple hazards, exposure and vulnerability. Disaster Prevention and Management: An International Journal.en_US
dc.identifier.otherDOI: 10.1108/DPM-09-2019-0293
dc.identifier.urihttp://hdl.handle.net/20.500.12661/2471
dc.language.isoenen_US
dc.publisherEmerald Publishing Limiteden_US
dc.subjectHazardsen_US
dc.subjectHazard dataen_US
dc.subjectVulnerabilityen_US
dc.subjectSchemasen_US
dc.subjectData schemasen_US
dc.subjectMultiple hazardsen_US
dc.subjectVulnerability schemasen_US
dc.subjectHazard schemasen_US
dc.subjectExposure schemasen_US
dc.subjectVulnerability dataen_US
dc.subjectRisk-related dataen_US
dc.titleData schemas for multiple hazards, exposure and vulnerabilityen_US
dc.typeArticleen_US
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