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Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change
The IPCC Third Assessment Report presents a conceptual framework for vulnerability to climate change with the three attribute components of exposure, sensitivity, and coping. Since the vulnerability assessments have been conducted mainly by the composite indicators aggregated from the IPCC’s compone...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920364/ https://www.ncbi.nlm.nih.gov/pubmed/31852964 http://dx.doi.org/10.1038/s41598-019-55994-y |
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author | Il Choi, Hyun |
author_facet | Il Choi, Hyun |
author_sort | Il Choi, Hyun |
collection | PubMed |
description | The IPCC Third Assessment Report presents a conceptual framework for vulnerability to climate change with the three attribute components of exposure, sensitivity, and coping. Since the vulnerability assessments have been conducted mainly by the composite indicators aggregated from the IPCC’s components, it is necessary to assess aggregation frameworks for constructing the composite indicators that have an influence on vulnerability assessment outcomes. This study therefore investigates the robustness of assessment outcomes for flood vulnerability to climate change through a comparative analysis of the six vulnerability indicators aggregated from the IPCC’s components by the conventional aggregation frameworks. The comparative analysis has been illustrated through both the possible combinations of reference values for vulnerability attribute components and a case study on the flood vulnerability assessment to climate change for coastal areas in the Republic of Korea. The study demonstrates that there can be large fluctuations and reversals in ranking orders across the six vulnerability outcomes by different aggregation frameworks. It concludes that for flood vulnerability assessment to climate change in coastal areas, the vulnerability indicator needs to be aggregated by a multiplicative utility function from all the three assessment components with positive elasticity to vulnerability. |
format | Online Article Text |
id | pubmed-6920364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69203642019-12-20 Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change Il Choi, Hyun Sci Rep Article The IPCC Third Assessment Report presents a conceptual framework for vulnerability to climate change with the three attribute components of exposure, sensitivity, and coping. Since the vulnerability assessments have been conducted mainly by the composite indicators aggregated from the IPCC’s components, it is necessary to assess aggregation frameworks for constructing the composite indicators that have an influence on vulnerability assessment outcomes. This study therefore investigates the robustness of assessment outcomes for flood vulnerability to climate change through a comparative analysis of the six vulnerability indicators aggregated from the IPCC’s components by the conventional aggregation frameworks. The comparative analysis has been illustrated through both the possible combinations of reference values for vulnerability attribute components and a case study on the flood vulnerability assessment to climate change for coastal areas in the Republic of Korea. The study demonstrates that there can be large fluctuations and reversals in ranking orders across the six vulnerability outcomes by different aggregation frameworks. It concludes that for flood vulnerability assessment to climate change in coastal areas, the vulnerability indicator needs to be aggregated by a multiplicative utility function from all the three assessment components with positive elasticity to vulnerability. Nature Publishing Group UK 2019-12-18 /pmc/articles/PMC6920364/ /pubmed/31852964 http://dx.doi.org/10.1038/s41598-019-55994-y Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Il Choi, Hyun Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change |
title | Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change |
title_full | Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change |
title_fullStr | Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change |
title_full_unstemmed | Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change |
title_short | Assessment of Aggregation Frameworks for Composite Indicators in Measuring Flood Vulnerability to Climate Change |
title_sort | assessment of aggregation frameworks for composite indicators in measuring flood vulnerability to climate change |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6920364/ https://www.ncbi.nlm.nih.gov/pubmed/31852964 http://dx.doi.org/10.1038/s41598-019-55994-y |
work_keys_str_mv | AT ilchoihyun assessmentofaggregationframeworksforcompositeindicatorsinmeasuringfloodvulnerabilitytoclimatechange |