Risk Analysis of Urban Dirty Bomb Attacking Based on Bayesian Network

Zheng Tang, Yijia Li, Xiaofeng Hu and Huanggang Wu
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Zheng Tang: School of Information Technology and Network Security, People’s Public Security University of China, Beijing 102628, China
Yijia Li: School of Information Technology and Network Security, People’s Public Security University of China, Beijing 102628, China
Xiaofeng Hu: School of Information Technology and Network Security, People’s Public Security University of China, Beijing 102628, China
Huanggang Wu: School of International Police Studies, People’s Public Security University of China, Beijing 102628, China

Sustainability, 2019, vol. 11, issue 2, 1-12

Abstract: Urban dirty bomb attacking is a type of unconventional terrorism threatening the urban security all through the world. In this paper, a Bayesian network of urban dirty bomb attacking is established to analyze the risk of urban dirty bomb attacking. The impacts of factors such as occurrence time, location, wind fields, the size of dirty bomb, emergency response and defense approaches on casualty from both direct blast and radiation-caused cancers are examined. Results show that sensitivity of casualty from cancers to wind fields are less significant; the impact of emergency response on the direct casualty from blast is not large; the size of the dirty bomb results in more casualties from cancers than that from bomb explosions; Whether an attack is detected by the police is not that related to normal or special time, but significantly depends on the attack location; Furthermore, casualty from cancers significantly depends on the location, while casualty from blast is not considerably influenced by the attacking location; patrol and surveillance are less important than security check in terms of controlling the risk of urban dirt bomb, and security check is the most effective approach to decreasing the risk of urban dirty bomb.

Keywords: risk analysis; dirty bomb; Bayesian network; terrorism (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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