Data schemas for multiple hazards, exposure and vulnerability
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...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/146634 |
| _version_ | 1811682415747268608 |
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| author | Murnane, Richard J. Allegri, Giovanni Bushi, Alphonce Dabbeek, Jamal de Moel, Hans Duncan, Melanie Fraser, Stuart Galasso, Carmine Giovando, Cristiano Henshaw, Paul Horsburgh, Kevin Huyck, Charles Jenkins, Susanna F. Johnson, Cassidy Kamihanda, Godson Kijazi, Justice Kikwasi, Wilberforce Kombe, Wilbard Loughlin, Susan Løvholt, Finn Masanja, Alex Mbongoni, Gabriel Minas, Stelios Msabi, Michael Msechu, Maruvuko Mtongori, Habiba Nadim, Farrokh O’Hara, Mhairi Pagani, Marco Phillips, Emma Rossetto, Tiziana Rudari, Roberto Sangana, Peter Silva, Vitor Twigg, John Uhinga, Guido Verrucci, Enrica |
| author2 | Earth Observatory of Singapore |
| author_facet | Earth Observatory of Singapore Murnane, Richard J. Allegri, Giovanni Bushi, Alphonce Dabbeek, Jamal de Moel, Hans Duncan, Melanie Fraser, Stuart Galasso, Carmine Giovando, Cristiano Henshaw, Paul Horsburgh, Kevin Huyck, Charles Jenkins, Susanna F. Johnson, Cassidy Kamihanda, Godson Kijazi, Justice Kikwasi, Wilberforce Kombe, Wilbard Loughlin, Susan Løvholt, Finn Masanja, Alex Mbongoni, Gabriel Minas, Stelios Msabi, Michael Msechu, Maruvuko Mtongori, Habiba Nadim, Farrokh O’Hara, Mhairi Pagani, Marco Phillips, Emma Rossetto, Tiziana Rudari, Roberto Sangana, Peter Silva, Vitor Twigg, John Uhinga, Guido Verrucci, Enrica |
| author_sort | Murnane, Richard J. |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:56:29Z |
| format | Journal Article |
| id | ntu-10356/146634 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:56:29Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1466342021-03-03T08:53:48Z Data schemas for multiple hazards, exposure and vulnerability Murnane, Richard J. Allegri, Giovanni Bushi, Alphonce Dabbeek, Jamal de Moel, Hans Duncan, Melanie Fraser, Stuart Galasso, Carmine Giovando, Cristiano Henshaw, Paul Horsburgh, Kevin Huyck, Charles Jenkins, Susanna F. Johnson, Cassidy Kamihanda, Godson Kijazi, Justice Kikwasi, Wilberforce Kombe, Wilbard Loughlin, Susan Løvholt, Finn Masanja, Alex Mbongoni, Gabriel Minas, Stelios Msabi, Michael Msechu, Maruvuko Mtongori, Habiba Nadim, Farrokh O’Hara, Mhairi Pagani, Marco Phillips, Emma Rossetto, Tiziana Rudari, Roberto Sangana, Peter Silva, Vitor Twigg, John Uhinga, Guido Verrucci, Enrica Earth Observatory of Singapore Science::General Disaster Risk Fragility 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. 2021-03-03T08:53:48Z 2021-03-03T08:53:48Z 2019 Journal Article Murnane, R. J., Allegri, G., Bushi, A., Dabbeek, J., de Moel, H., Duncan, M., . . . Verrucci, E. (2019). Data schemas for multiple hazards, exposure and vulnerability. Disaster Prevention and Management, 28(6), 752-763. doi:10.1108/DPM-09-2019-0293 0965-3562 0000-0002-9744-8471 https://hdl.handle.net/10356/146634 10.1108/DPM-09-2019-0293 2-s2.0-85074408038 6 28 752 763 en Disaster Prevention and Management © 2019 Emerald Publishing Limited. All rights reserved. |
| spellingShingle | Science::General Disaster Risk Fragility Murnane, Richard J. Allegri, Giovanni Bushi, Alphonce Dabbeek, Jamal de Moel, Hans Duncan, Melanie Fraser, Stuart Galasso, Carmine Giovando, Cristiano Henshaw, Paul Horsburgh, Kevin Huyck, Charles Jenkins, Susanna F. Johnson, Cassidy Kamihanda, Godson Kijazi, Justice Kikwasi, Wilberforce Kombe, Wilbard Loughlin, Susan Løvholt, Finn Masanja, Alex Mbongoni, Gabriel Minas, Stelios Msabi, Michael Msechu, Maruvuko Mtongori, Habiba Nadim, Farrokh O’Hara, Mhairi Pagani, Marco Phillips, Emma Rossetto, Tiziana Rudari, Roberto Sangana, Peter Silva, Vitor Twigg, John Uhinga, Guido Verrucci, Enrica Data schemas for multiple hazards, exposure and vulnerability |
| title | Data schemas for multiple hazards, exposure and vulnerability |
| title_full | Data schemas for multiple hazards, exposure and vulnerability |
| title_fullStr | Data schemas for multiple hazards, exposure and vulnerability |
| title_full_unstemmed | Data schemas for multiple hazards, exposure and vulnerability |
| title_short | Data schemas for multiple hazards, exposure and vulnerability |
| title_sort | data schemas for multiple hazards exposure and vulnerability |
| topic | Science::General Disaster Risk Fragility |
| url | https://hdl.handle.net/10356/146634 |
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