Center for Risk and Economic Analysis of Terrorism Events,University of Southern California, Los Angeles, CA, USA.
Risk Anal. 2011 Jul;31(7):1133-40. doi: 10.1111/j.1539-6924.2010.01565.x. Epub 2011 Jan 14.
Over the past decade, terrorism risk has become a prominent consideration in protecting the well-being of individuals and organizations. More recently, there has been interest in not only quantifying terrorism risk, but also placing it in the context of an all-hazards environment in which consideration is given to accidents and natural hazards, as well as intentional acts. This article discusses the development of a regional terrorism risk assessment model designed for this purpose. The approach taken is to model terrorism risk as a dependent variable, expressed in expected annual monetary terms, as a function of attributes of population concentration and critical infrastructure. This allows for an assessment of regional terrorism risk in and of itself, as well as in relation to man-made accident and natural hazard risks, so that mitigation resources can be allocated in an effective manner. The adopted methodology incorporates elements of two terrorism risk modeling approaches (event-based models and risk indicators), producing results that can be utilized at various jurisdictional levels. The validity, strengths, and limitations of the model are discussed in the context of a case study application within the United States.
在过去的十年中,恐怖主义风险已成为保护个人和组织福祉的一个突出考虑因素。最近,人们不仅有兴趣量化恐怖主义风险,而且还希望将其置于包括事故和自然灾害以及故意行为的全灾害环境中。本文讨论了为此目的开发的区域恐怖主义风险评估模型的发展。所采用的方法是将恐怖主义风险建模为一个因变量,以预期的年度货币形式表示,作为人口集中和关键基础设施属性的函数。这允许对区域恐怖主义风险本身进行评估,以及与人为事故和自然危害风险进行比较,以便能够以有效的方式分配缓解资源。所采用的方法结合了两种恐怖主义风险建模方法(事件模型和风险指标)的要素,产生了可以在各个管辖级别使用的结果。本文还在美国的一个案例研究应用中讨论了模型的有效性、优势和局限性。