Recent major earthquakes, tsunamis, hurricanes, floods and other natural phenomena have resulted in huge losses in terms of human life and property destruction. A new range of human-made disasters have afflicted humanity in modern times; terrorist activities have been added to more classical disasters such as those due to the failure of industrial installations. It is important to understand the nature of these global risks to be able to develop strategies to prepare for these events and plan effective responses in terms of disaster management and the associated human health impacts. The selected papers contained in this book have been written by academics and professionals and represent some of the latest developments in the field.

Reliability, Risk and Safety: Back to the Future covers topics on reliability, risk and safety issues, including risk and reliability analysis methods, maintenance optimization, human factors, and risk management. The application areas range from nuclear engineering, oil and gas industry, electrical and civil engineering to information technology and communication, security, transportation, health and medicine or critical infrastructures. Significant attention is paid to societal factors influencing the use of reliability and risk assessment methods, and to combinatorial analysis, which has found its way into the analysis of probabilities and risk, from which quantified risk analysis developed. Integral demonstrations of the use of risk analysis and safety assessment are provided in many practical applications concerning major technological systems and structures. Reliability, Risk and Safety: Back to the Future will be of interest to academics and engineers interested in nuclear engineering, oil and gas engineering, electrical engineering, civil engineering, information technology, communication, and infrastructure.

Risk science is becoming increasingly important as businesses, policymakers and public sector leaders are tasked with decision-making and investment using varying levels of knowledge and information. Risk Science: An Introduction explores the theory and practice of risk science, providing concepts and tools for understanding and acting under conditions of uncertainty. The chapters in this work cover the fundamental concepts, principles, approaches, methods and models for how to understand, assess, communicate, manage and govern risk. These topics are presented and examined in a way which details how they relate, for example, how to characterize and communicate risk with particular emphasis on reflecting uncertainties; how to distinguish risk perception and professional risk judgments; how to assess risk and guide decision-makers, especially for cases involving large uncertainties and value differences; and how to integrate risk assessment with resilience-based strategies. The text provides a variety of examples and case studies that relate to highly visible and relevant issues facing risk academics, practitioners and non-risk leaders who must make risk-related decisions. Presenting both the foundational and most recent advancements in the subject matter, this work particularly suits students of risk science courses at college and university level. The book also provides broader key reading for students and scholars in other domains, including business, engineering and public health.

Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models: Modeling Risk and Uncertainty comes handy in demystifying the underlying quantitative finance concepts. With a limited use of mathematical formalism, the book explains thoroughly the models, their hypotheses, principles and other building blocks. A particular care is given to model limitations and their misuse for investment strategies, asset pricing, or risk management. Its reader-friendly nature provides readers with a head start in quantitative finance.

This memorial collection of papers authored and co-authored by Ian Langford represents some of the most thoughtful and innovative contributions to the literature regarding the holistic analysis of environmental and health risk issues. It provides important foundations for the development of a mixed methodological approach to addressing such issues. These carefully chosen papers span a number of disciplines, including statistics, environmental risk analysis, human geography and economics and represent the diversity, innovation and analytical rigour of Ian Langford's writing.

This volume encompasses latest research presented on the 6th edition of the Disaster Management Conference. The research published in this book is contributed by academics and experts on public health, security and disaster management in order to assess the potential risk from various disasters and discuss ways to prevent or alleviate damage. As the human population has continued to concentrate in urban areas the number of people and the value of property affected by both natural and man-produced disasters has also grown. Earthquakes, floods, hurricanes, cyclones, tornadoes and forest fires have all taken their toll, as have man-made catastrophes such as industrial spillages and terrorist attacks. It is important to understand the nature of these global risks to be able to develop strategies to prepare for these events and plan effective responses in terms of disaster management and the associated human health impacts. The included paper cover various subject areas, including: Disaster analysis; Disaster monitoring and mitigation; Emergency preparedness; Risk mitigation; Risk and security; Resilience; Socio-economic issues; Health risk; Human factors; Multi-hazard risk assessment; Case studies; Learning from disasters and man-made disasters.

This book is a joint endeavour of the three partner universities to develop a book with in-depth and state-of-art analysis for the academic community of East Asia and the world. Past disasters, like the 2008 Great Sichuan Earthquake in China and the 2011 Great East Japan Earthquake, saw good efforts of East Asian countries in helping each other. Such a trend has been further strengthened in these countries' recent cooperation and mutual support in their fight against Covid-19 pandemic. While China, Japan, and South Korea are geographically and culturally contiguous and hence may share some characteristics in their risk management principles and practices, there may also be many significant differences due to their different socioeconomic and political systems. The commonalities and variances in East Asia risk management systems are also reflected by their recent responses to the Covid-19 challenges. While all three countries demonstrated overall success in controlling the epidemic, the measures taken by them were different. This research will be of interest to policymakers, scholars and economists.

Risk management is a vital concern in any organization. In order to succeed in the competitive modern business environment, the decision-making process must be effectively governed and managed. Research, Practices, and Innovations in Global Risk and Contingency Management is a critical scholarly resource that provides an all-encompassing holistic discussion of risk management and perception, while giving readers innovations on empirical risk-contingency management research and case studies. Featuring coverage on a broad range of topics, such as contingency planning, project management, and risk mitigation, this book is geared towards academicians, practitioners, and researchers seeking current research on risk and contingency management issues.

This book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.

The Value TRAI is a four part classification which has been developed to enable any business entity, process, project or job to be broken down into its component value elements. This then provides a framework for the identification, prioritisation, evaluation and management of business risks. In addition to the value TRAI this book introduces a series of simple tools which address business risks: both threats and opportunities.The Author, Chris Duggleby, has spent over thirty years managing chemicals businesses around the world working with several internationally respected partners. His recent work focused on the management of Joint Ventures and the design of Management of Change processes for transformation projects. His first-hand knowledge of managing industrial business risks has been used in the design of the tools and processes described in this book.Using a standardised set of easy to apply risk management tools is fundamental to the introduction of an enterprise wide risk management system. This book, supported by the www.bizchangers.com website, describes these tools and how to apply them.

Top businesses recognise risk management as a core feature of their project management process and approach to the governance of projects. However, a mature risk management process is required in order to realise its benefits; one that takes into account the design and implementation of the process and the skills, experience and culture of the people who use it. To be mature in the way you manage risk you need an accepted framework to assess your risk management maturity, allowing you to benchmark against a recognised standard. A structured pathway for improvement is also needed, not just telling you where you are now, but describing the steps required to reach the next level. The Project Risk Maturity Model detailed here provides such an assessment framework and development pathway. It can be used to benchmark your project risk processes and support the introduction of effective in-house project risk management. Using this model, implementation and improvement of project risk management can be managed effectively to ensure that the expected benefits are achieved in a way that is appropriate to the needs of each organisation. Martin Hopkinson has developed The Project Risk Maturity Model into a robust framework, and this book allows you to access and apply his insights and experience. A key feature is a downloadable resource containing a working copy of the QinetiQ Project Risk Maturity Model (RMM). This will enable you to undertake maturity assessments for as many projects as you choose. The RMM has been proven over a period of 10 years, with at least 250 maturity assessments on projects and programmes with a total value exceeding AGBP60 billion. A case study in the book demonstrates how it has been used to deliver significant and measurable benefits to the performance of major projects.