Piegorsch Walter W, Cutter Susan L, Hardisty Frank
Interdisciplinary Program in Statistics, BIO5 Institute, University of Arizona, Tucson, AZ 85721, USA.
Risk Anal. 2007 Dec;27(6):1411-25. doi: 10.1111/j.1539-6924.2007.00977.x.
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.
我们描述了一种定量方法,通过基于地点的脆弱性指数以及恐怖事件和相关人员伤亡数据库,来刻画美国城市中心对恐怖袭击的脆弱性。通过广义线性统计模型,我们研究了脆弱性与恐怖事件之间的关系,发现我们基于地点的脆弱性指标能够显著描述这些城市中心的恐怖事件发生率以及恐怖事件导致的人员伤亡情况。我们还将毒理学风险评估应用中的基准分析技术引入到这种社会风险/脆弱性范式中,并利用这些技术来区分城市对恐怖主义的高脆弱性和低脆弱性水平。可以看出,基准方法能够相当灵活地从其生物学根源转换到这种社会科学原型。