The importance of indicator weights for vulnerability indices and implications for decision making in disaster management

Cox et al. Boulder Deposits and Storm Waves during storms and should therefore be re-evaluated. This is especially important for CBD that have been incorporated into long-term coastal risk assessments, which are compromised if the CBD are misinterpreted. CBD dynamics can be better determined from a combination of detailed field measurements, modeling, and experiments. A clearer understanding of emplacement mechanisms will result in more reliable hazard analysis.

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“…histories (Mastronuzzi et al, 2013;Terry et al, 2015Torab and Dalal, 2015;Main et al, 2018;Papathoma-Köhle et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Systematic Review Shows That Work Done by Storm Waves Can Be Misinterpreted as Tsunami-Related Because Commonly Used Hydrodynamic Equations Are Flawed

et al. 2020

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“…Following on from the methodological approaches proposed in previous studies [42,[51][52][53][54], this study formulates and applies a research method for overall vulnerability assessment, which is based on the following steps: (i) identification of the main exposed elements (natural and anthropic) located in the investigated area; (ii) definition of their relative exposure level, in economic and ecological terms; (iii) assessment of the social vulnerability of the population living in the investigated area; (iv) calculation of the overall vulnerability by means of a combined index. As highlighted in [55] the use of an index as an evaluation tool requires the definition, weighting and aggregation of a number of indicators, which are defined as variables that are "an operational representation of a characteristic or quality of a system" [56,57].…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Coastal Vulnerability Assessment along the North-Eastern Sector of Gozo Island (Malta, Mediterranean Sea)

Rizzo

Vandelli

Buhagiar

et al. 2020

Water

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The coastal landscape of the Maltese Islands is the result of long-term evolution, influenced by tectonics, geomorphological processes, and sea level oscillations. Due to their geological setting, the islands are particularly prone to marine-related and gravity-induced processes, exacerbated by climate change. This study aligns different concepts into a relatively concise and expedient methodology for overall coastal vulnerability assessment, taking the NE sector of Gozo Island as a test case. Geomorphological investigation, integrated with analysis of marine geophysical data, enabled characterization of coastal dynamics, identifying this stretch of coast as being potentially hazardous. The study area features a high economic value derived from tourist and mining activities and natural protected areas, that altogether not only make coastal vulnerability a major concern but also the task of assessing it complex. Before introducing the methodology proposed for overall vulnerability assessment, an in-depth revision of the vulnerability concept is provided. The evaluation was carried out by using a set of key indicators related to local land use, anthropic and natural assets, economic activities, and social issues. Results show that the most critical areas are located east of Marsalforn including Ramla Bay, an important tourist attraction hosting the largest sandy beach in Gozo. The method combines physical exposure and social vulnerability into an overall index. It proves to be cost effective in data management and processing and is suitable for the identification and assessment of overall vulnerability of coastal areas to consequences of climate- and marine-related processes, such as coastal erosion, landslides and sea level rise.

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“…The core element in deriving a vulnerability index is the indicator itself (Krellenberg and Welz, 2017), hence, careful attention has to be given to which variables are chosen as indicators. The selection of indicators is one of the main challenges of vulnerability assessment (Marleen et al, 2017;Papathoma-Köhle et al, 2019) because a suboptimal selection of indicators will consequently lead to an information bias or even loss (Günther 2006). Before a variable is qualified to be an indicator, certain criteria have to be considered to allow for consistency and methodical soundness.…”

Section: Indicator Selection 255mentioning

confidence: 99%

An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

Malgwi¹,

Fuchs²,

Keiler³

2019

Preprint

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10Although the vulnerability indicator method has been applied to several data-scarce regions, a missing linkage with damage grades had hindered its application for loss evaluation to complement disaster risk reduction efforts. To address this gap, we present a review of physical vulnerability indicators and flood damage models to gain insights on best practice. Thereafter, we present a conceptual framework for linking the vulnerability indicators and damage grades using three phases (i) developing a vulnerability index, (ii) identifying regional damage grades, and (iii) linking vulnerability index classes with 15 damage grades. The vulnerability index comprehensively integrates elements of the hazard using a Building Impact Index (BII) on one hand, and exposure, susceptibility and local protection elements using a Building Resistance Index (BRI) on the other hand. For the damage grades, local expert assessments are used for identifying and categorizing frequently observed regional damage patterns. Finally, by means of synthetic what-if analysis, experts are asked to estimate damage grades for each interval of the BII and class of BRI to develop a vulnerability curve. The proposed conceptual framework can be used 20 for damage prediction in data-scarce regions to support loss assessment and to provide guidance for disaster risk reduction.

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The importance of indicator weights for vulnerability indices and implications for decision making in disaster management

Cited by 67 publications

References 50 publications

Systematic Review Shows That Work Done by Storm Waves Can Be Misinterpreted as Tsunami-Related Because Commonly Used Hydrodynamic Equations Are Flawed

Systematic Review Shows That Work Done by Storm Waves Can Be Misinterpreted as Tsunami-Related Because Commonly Used Hydrodynamic Equations Are Flawed

Coastal Vulnerability Assessment along the North-Eastern Sector of Gozo Island (Malta, Mediterranean Sea)

An adaptive regional vulnerability assessment model: Review and concepts for data-scarce regions

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