Data schemas for multiple hazards, exposure and vulnerability

Richard J. Murnane*, Giovanni Allegri, Alphonce Bushi, Jamal Dabbeek, Hans de Moel, Melanie Duncan, Stuart Fraser, Carmine Galasso, Cristiano Giovando, Paul Henshaw, Kevin Horsburgh, Charles Huyck, Susanna Jenkins, Cassidy Johnson, Godson Kamihanda, Justice Kijazi, Wilberforce Kikwasi, Wilbard Kombe, Susan Loughlin, Finn LøvholtAlex Masanja, Gabriel Mbongoni, Stelios Minas, Michael Msabi, Maruvuko Msechu, Habiba Mtongori, Farrokh Nadim, Mhairi O’Hara, Marco Pagani, Emma Phillips, Tiziana Rossetto, Roberto Rudari, Peter Sangana, Vitor Silva, John Twigg, Guido Uhinga, Enrica Verrucci

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Purpose: 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. Design/methodology/approach: 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 source 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. Originality/value: This paper describes extensible, internally consistent, multi-hazard, exposure and vulnerability schemas that can be used to store disaster risk-related data and a data exploration tool that promotes data discovery and use.

Original languageEnglish
Pages (from-to)752-763
Number of pages12
JournalDisaster Prevention and Management: An International Journal
Volume28
Issue number6
DOIs
Publication statusPublished - 4 Nov 2019

Keywords

  • Damage
  • Disaster risk
  • Exposure
  • Fragility
  • Multi-hazard
  • Natural hazards
  • Vulnerability

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