Spatial-temporal Distribution and Risk Analysis of Terrorist Attack Fires
Guohui Li, Cheng Wang, Lizeng Zhao, Weiping Han, Ying Wang
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.108How to use a DOI?
- Terrorist attack fire; Power law; Gini coefficient; Risk analysis
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Guohui Li AU - Cheng Wang AU - Lizeng Zhao AU - Weiping Han AU - Ying Wang PY - 2016/11 DA - 2016/11 TI - Spatial-temporal Distribution and Risk Analysis of Terrorist Attack Fires BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press SP - 673 EP - 678 SN - 1951-6851 UR - https://doi.org/10.2991/rac-16.2016.108 DO - https://doi.org/10.2991/rac-16.2016.108 ID - Li2016/11 ER -