2018
DOI: 10.3390/su10030768
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Comparison of Flood Vulnerability Assessments to Climate Change by Construction Frameworks for a Composite Indicator

Abstract: Abstract:As extreme weather conditions due to climate change can cause deadly flood damages all around the world, a role of the flood vulnerability assessment has become recognized as one of the preemptive measures in nonstructural flood mitigation strategies. Although the flood vulnerability is most commonly assessed by a composite indicator compiled from multidimensional phenomena and multiple conflicting criteria associated with floods, directly or indirectly, it has been often overlooked that the construct… Show more

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Cited by 29 publications
(12 citation statements)
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“…Sensitivity analysis on an aggregation and weights issue is investigated by several studies with different outcomes. Works on weighting and aggregation sensitivity were carried by [72][73][74][75][76] for flood-specific index and by [77,78] for broader natural-disasters. Further sensitivity analysis are sometimes applied limited to social vulnerability sub-indicators, as in [79][80][81][82], or with an hazard-oriented view, as in [83][84][85].…”
Section: Discussionmentioning
confidence: 99%
“…Sensitivity analysis on an aggregation and weights issue is investigated by several studies with different outcomes. Works on weighting and aggregation sensitivity were carried by [72][73][74][75][76] for flood-specific index and by [77,78] for broader natural-disasters. Further sensitivity analysis are sometimes applied limited to social vulnerability sub-indicators, as in [79][80][81][82], or with an hazard-oriented view, as in [83][84][85].…”
Section: Discussionmentioning
confidence: 99%
“…The weighted normalized indicators are aggregated into its respective flood vulnerability factors using Equation (9) [8,28,[58][59][60]62];…”
Section: Aggregationmentioning
confidence: 99%
“…The normalization of each of the indicators allows dimensionless values [75] to be obtained to enable the comparison of results not only in different periods but also in different study areas. However, not all normalization processes allow this multi-area analysis [64,102]. To achieve this goal, normalization must avoid the use of the maximum value obtained in the specific study area and work with generic concepts that can be assigned as minimum and maximum values.…”
Section: Discussionmentioning
confidence: 99%