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Empirical post-event survey methods for vulnerability evaluation may not fit the purpose of seismic risk analysis at class level and a pure analytical approach may be required.
These empirical methods for vulnerability estimation are essentially based on the feedback from past earthquakes and a crude appraisal of structural characteristics from rapid visual inspections.
Riedel et al. (2014, 2015), and Guettiche et al. (2017) have shown that large scale-based methods for vulnerability assessment can provide relevant forecasting of damage (D4 + D5) for a given seismic intensity.
As a unifying interface to analyzing, describing, and compiling various methods for vulnerability assessment, a platform was established according to the state-of-the-art SMW, which is easy to use.
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The method for vulnerability analysis makes use of the Failure-Attack-CounTermeasure (FACT) graph.
Based on literature review, we first present a model of concepts related to climate change vulnerability, and then we give our numerical method for vulnerability assessment.
In order to overcome such issue, this study provides a new evaluation method for vulnerability of urban road network based on the concept of macroscopic fundamental diagram (MFD).
Global Environmental Change 12, 25 40) built an indexing method for vulnerability based on the hypothesis that the adaptive capacity for any system facing a vector of external stresses could be explained by the weakest of its underlying determinants the so-called "weakest link" hypothesis.
The most common method for vulnerability assessment in multiple hazard research at the global scale involves index-based methods in which fragility, adaptability or coping capability, and other vulnerability characteristics are calculated using different indicators and integrated to achieve an indirect reflection of degree of vulnerability (UNDP 2004; UNU-EHS 2013; JRC 2014).
With the advent of GIS digital maps technology, adoption of such methods for creating vulnerability maps is an easy task.
Despite the limited adoption of statistical methods for aquifer vulnerability studies, other branches of the earth sciences have extensively used these approaches in a wide range of applications (e.g., Conoscenti et al. 2013; Lombardo et al. 2014; Sahragard and Chahouki 2015).
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