Martens Andy, Sainudiin Raazesh, Sibley Chris G, Schimel Jeff, Webber David
University of Canterbury, Christchurch, New Zealand.
University of Auckland, Auckland, New Zealand.
PLoS One. 2014 Apr 22;9(4):e93732. doi: 10.1371/journal.pone.0093732. eCollection 2014.
Highly lethal terrorist attacks, which we define as those killing 21 or more people, account for 50% of the total number of people killed in all terrorist attacks combined, yet comprise only 3.5% of terrorist attacks. Given the disproportionate influence of these incidents, uncovering systematic patterns in attacks that precede and anticipate these highly lethal attacks may be of value for understanding attacks that exact a heavy toll on life. Here we examined whether the activity of terrorist groups escalates--both in the number of people killed per attack and in the frequency of attacks--leading up to highly lethal attacks. Analyses of terrorist attacks drawn from a state-of-the-art international terrorism database (The Global Terrorism Database) showed evidence for both types of escalation leading up to highly lethal attacks, though complexities to the patterns emerged as well. These patterns of escalation do not emerge among terrorist groups that never commit a highly lethal attack.
我们将造成21人及以上死亡的袭击定义为高致死性恐怖袭击,此类袭击导致的死亡人数占所有恐怖袭击造成的死亡总人数的50%,但在恐怖袭击总数中仅占3.5%。鉴于这些事件的影响不成比例,揭示在这些高致死性袭击之前和预示这些袭击的袭击中的系统模式,可能有助于理解那些造成重大生命损失的袭击。在此,我们研究了恐怖组织的活动在导致高致死性袭击的过程中是否会升级——包括每次袭击造成的死亡人数和袭击频率。对来自一个最先进的国际恐怖主义数据库(全球恐怖主义数据库)的恐怖袭击进行分析后发现,在导致高致死性袭击的过程中,这两种升级类型都有证据,但模式也出现了复杂性。在从未实施过高致死性袭击的恐怖组织中,不会出现这些升级模式。