2013
DOI: 10.1080/13669877.2012.737820
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A composite indicator model to assess natural disaster risks in industry on a spatial level

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Cited by 38 publications
(14 citation statements)
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“…Indicators reduction (based on correlation) is actually a very big dilemma in the development of composite indicators. There will always be positive correlation among indicators [8], while Saisana & Tarantola (2002 in [54]) opined that completely independent indicators cannot be selected if they measure the same phenomena. Though it is desired to use independent indicators, still some authors considered this issue as "unrealistic" [8].…”
Section: Data Treatmentmentioning
confidence: 99%
“…Indicators reduction (based on correlation) is actually a very big dilemma in the development of composite indicators. There will always be positive correlation among indicators [8], while Saisana & Tarantola (2002 in [54]) opined that completely independent indicators cannot be selected if they measure the same phenomena. Though it is desired to use independent indicators, still some authors considered this issue as "unrealistic" [8].…”
Section: Data Treatmentmentioning
confidence: 99%
“…Particularly in densely populated and highly industrialized regions, fast-burning crises carry the risk of rapid propagation and escalation (Pederson et al, 2007). When critical infrastructures such as transportation, communication or power systems are disrupted, even for a short time, large regions can be impacted and incur important economic losses (Chang et al, 2007;Merz et al, 2013). To prevent harm to the population, environment and economy, fast and effective response is crucial (Körte, 2003;Van Den Eede et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…However, like non-structural drift-sensitive cost ratios, structural repair cost ratios are expected to have lower impact in total building replacement costs when compared to nonstructural acceleration-sensitive components and contents; (iii) industrial activities with higher input dependency, i.e. higher equipment and labour intensity and degree of labour specialization (Merz et al, 2013), such as the pharmaceutical industry, are more vulnerable to earthquakes. The vulnerability of these industrial activities is also associated to higher levels of uncertainty, mostly because of the high variability in the value of the fixed assets (e.g.…”
Section: Derivation Of Vulnerability Curvesmentioning
confidence: 99%