Spatial-temporal Distribution and Risk Analysis of Terrorist Attack Fires

The word focused on the terrorist attack fires (TAFs). The frequency-fatality distribution and the spatial-temporal evolution of TAFs under the influence of targets, regions, and years were investigated. The power low and scale invariance theory was used to identify the distribution and evolution of TAFs. Gini coefficients were used to investigate the inequality of TAFs and explore the hot spots of attacks. It indicated that the frequency-fatality followed a power law distribution and had scale invariance. A smaller scaling exponent of power law corresponded to a slow decrease of frequency along with the increase of fatalities. Targets of transportation and private citizens, regions of Sub-Sahara Africa and Middle East and North Africa were associated with high fatality level. The inequality studies showed that TAFs were threatening more and more regions. TAFs tend to target the particular objectives such as business and private citizens. Comparing to the conventional fire, TAFs would cause more fatalities. This study will enable civilians and policymakers to predict the terrorist attack fires.