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Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data
Understanding the location of risk to natural hazards, namely the areas of high exposure and vulnerability is a major priority that was identified by the Sendai framework for Disaster Reduction 2015–2030 in order to reach substantial reduction of disaster risk. It is also a necessary decision-making...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837195/ https://www.ncbi.nlm.nih.gov/pubmed/36635379 http://dx.doi.org/10.1038/s41598-023-27831-w |
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author | Raduszynski, Theo Numada, Muneyoshi |
author_facet | Raduszynski, Theo Numada, Muneyoshi |
author_sort | Raduszynski, Theo |
collection | PubMed |
description | Understanding the location of risk to natural hazards, namely the areas of high exposure and vulnerability is a major priority that was identified by the Sendai framework for Disaster Reduction 2015–2030 in order to reach substantial reduction of disaster risk. It is also a necessary decision-making tool for disaster mitigation policy-makers in Japan and around the world. This paper successfully develops a simple methodology using only open data to build the first large-scale (whole country), fine resolution (sub-municipal level) social vulnerability analysis in the context of five different types of natural hazards (earthquake, tsunami, storm surge, flooding and landslide). The result is then compared to an indicator of exposure of population to these hazards in Japan in order to propose a representation of disaster risk. Results show that vulnerability in Japan is highly heterogeneous with urban/rural and north/south fractures. Combining the social vulnerability index with exposure analysis, results show a wide variety of spatial patterns of risk areas in Japan. |
format | Online Article Text |
id | pubmed-9837195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98371952023-01-14 Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data Raduszynski, Theo Numada, Muneyoshi Sci Rep Article Understanding the location of risk to natural hazards, namely the areas of high exposure and vulnerability is a major priority that was identified by the Sendai framework for Disaster Reduction 2015–2030 in order to reach substantial reduction of disaster risk. It is also a necessary decision-making tool for disaster mitigation policy-makers in Japan and around the world. This paper successfully develops a simple methodology using only open data to build the first large-scale (whole country), fine resolution (sub-municipal level) social vulnerability analysis in the context of five different types of natural hazards (earthquake, tsunami, storm surge, flooding and landslide). The result is then compared to an indicator of exposure of population to these hazards in Japan in order to propose a representation of disaster risk. Results show that vulnerability in Japan is highly heterogeneous with urban/rural and north/south fractures. Combining the social vulnerability index with exposure analysis, results show a wide variety of spatial patterns of risk areas in Japan. Nature Publishing Group UK 2023-01-12 /pmc/articles/PMC9837195/ /pubmed/36635379 http://dx.doi.org/10.1038/s41598-023-27831-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Raduszynski, Theo Numada, Muneyoshi Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data |
title | Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data |
title_full | Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data |
title_fullStr | Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data |
title_full_unstemmed | Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data |
title_short | Measure and spatial identification of social vulnerability, exposure and risk to natural hazards in Japan using open data |
title_sort | measure and spatial identification of social vulnerability, exposure and risk to natural hazards in japan using open data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837195/ https://www.ncbi.nlm.nih.gov/pubmed/36635379 http://dx.doi.org/10.1038/s41598-023-27831-w |
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