Literature DB >> 18093043

Benchmark analysis for quantifying urban vulnerability to terrorist incidents.

Walter W Piegorsch1, Susan L Cutter, Frank Hardisty.   

Abstract

We describe a quantitative methodology to characterize the vulnerability of U.S. urban centers to terrorist attack, using a place-based vulnerability index and a database of terrorist incidents and related human casualties. Via generalized linear statistical models, we study the relationships between vulnerability and terrorist events, and find that our place-based vulnerability metric significantly describes both terrorist incidence and occurrence of human casualties from terrorist events in these urban centers. We also introduce benchmark analytic technologies from applications in toxicological risk assessment to this social risk/vulnerability paradigm, and use these to distinguish levels of high and low urban vulnerability to terrorism. It is seen that the benchmark approach translates quite flexibly from its biological roots to this social scientific archetype.

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Year:  2007        PMID: 18093043     DOI: 10.1111/j.1539-6924.2007.00977.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  4 in total

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2.  Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes.

Authors:  Jingyu Liu; Walter W Piegorsch; A Grant Schissler; Susan L Cutter
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2017-10-10       Impact factor: 2.483

3.  Translational benchmark risk analysis.

Authors:  Walter W Piegorsch
Journal:  J Risk Res       Date:  2010-07

4.  Modeling and Risk Analysis of Chemical Terrorist Attacks: A Bayesian Network Method.

Authors:  Rongchen Zhu; Xiaofeng Hu; Xin Li; Han Ye; Nan Jia
Journal:  Int J Environ Res Public Health       Date:  2020-03-19       Impact factor: 3.390

  4 in total

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