Spatial-temporal Distribution and Risk Analysis of Terrorist Attack Fires

DOI

10.2991/rac-16.2016.108How to use a DOI?

Keywords

Terrorist attack fire; Power law; Gini coefficient; Risk analysis

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
PB  - Atlantis Press
SP  - 673
EP  - 678
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.108
DO  - 10.2991/rac-16.2016.108
ID  - Li2016/11
ER  -