Risk Analysis and Management: Engineering Resilience Hardback
by Ivo Haring
The book introduces basic risk concepts and then goes on to discuss risk management and analysis processes and steps.
The main emphasis is on methods that fulfill the requirements of one or several risk management steps.
The focus is on risk analysis methods including statistical-empirical analyses, probabilistic and parametrized models, engineering approaches and simulative methods, e.g. for fragment and blast propagation or hazard density computation. Risk management is essential for improving all resilience management steps: preparation, prevention, protection, response and recovery.
The methods investigate types of event and scenario, as well as frequency, exposure, avoidance, hazard propagation, damage and risks of events.
Further methods are presented for context assessment, risk visualization, communication, comparison and assessment as well as selecting mitigation measures.
The processes and methods are demonstrated using detailed results and overviews of security research projects, in particular in the applications domains transport, aviation, airport security, explosive threats and urban security and safety.
Topics include: sufficient control of emerging and novel hazards and risks, occupational safety, identification of minimum (functional) safety requirements, engineering methods for countering malevolent or terrorist events, security research challenges, interdisciplinary approaches to risk control and management, risk-based change and improvement management, and support of rational decision-making. The book addresses advanced bachelor students, master and doctoral students as well as scientists, researchers and developers in academia, industry, small and medium enterprises working in the emerging field of security and safety engineering.
- Format: Hardback
- Pages: 365 pages, 55 Illustrations, color; 123 Illustrations, black and white; XLI, 365 p. 178 illus., 55 i
- Publisher: Springer Verlag, Singapore
- Publication Date: 19/02/2016
- Category: Probability & statistics
- ISBN: 9789811000133
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