Dynamic Risk Assessment

Dynamic Risk Assessment is the key tool to support a holistic risk management framework. This book aims to help employers, managers and staff alike to understand how they can effectively integrate dynamic risk assessment into business management processes and systems to improve safety. With tips, examples and solutions throughout, this multi-disciplinary text delivers an effective and comprehensive approach to help you to understand how dynamic risk assessment (DRA) can be integrated into predictive (PRA) and strategic risk assessments (SRA) to enhance your organization’s effectiveness. The 3-Level Risk Management Model fully supports and complements the systematic ‘five steps to risk assessment’ process A multi-disciplinary approach to dynamic risk assessment that covers workers operating in teams and those working alone within the public, private and third sectors Contains practical examples, tips and case studies drawn from a wide range of organizations The book comes with access to downloadable materials from an accompanying website at: www.routledge.com/cw/dynamic-risk-assessment

Dynamic Risk Assessment is the key tool to support a holistic risk management framework. This book aims to help employers, managers and staff alike to understand how they can effectively integrate dynamic risk assessment into business management processes and systems to improve safety. With tips, examples and solutions throughout, this multi-disciplinary text delivers an effective and comprehensive approach to help you to understand how dynamic risk assessment (DRA) can be integrated into predictive (PRA) and strategic risk assessments (SRA) to enhance your organization’s effectiveness. The 3-Level Risk Management Model fully supports and complements the systematic ‘five steps to risk assessment’ process A multi-disciplinary approach to dynamic risk assessment that covers workers operating in teams and those working alone within the public, private and third sectors Contains practical examples, tips and case studies drawn from a wide range of organizations The book comes with access to downloadable materials from an accompanying website at: www.routledge.com/cw/dynamic-risk-assessment

Dynamic Risk Assessment and Management of Domino Effects and Cascading Events in the Process Industry provides insights into emerging and state-of-the-art methods for the dynamic assessment of risk and safety barrier performance in the framework of domino effect risk management. The book presents methods and tools to manage the risk of cascading events involving the chemical and process industry. It is an ideal reference for both safety and security managers, industrial risk stakeholders, scientists and practitioners. In addition, laymen may find the state-of-the-art methods concerning domino effects (large-scale accidents) and how to prevent their propagation an interesting topic of study. Includes dynamic hazard and risk assessment methods Presents methods for safety barrier performance assessment Addresses the effect of harsh environment on domino risk assessment Relates physical security in relation to domino effects Includes innovative methods and tools

Dynamic risk factors are the children of risk prediction. They were identified to help practitioners assess risk of recidivism and to set treatment targets likely to reduce reoffending. This resulted in the development of intervention programs designed to modify the characteristics of individuals and their environments associated with crime. The predictive nature of their legacy lies in their ability to provide reliable information about the likelihood of future reoffending. In this respect, dynamic risk factors are useful complements to static risk factors such as age, gender, and history of offending, and add incremental validity to recidivism prediction. Their treatment utility resides in the fact that practitioners increasingly rely on the identification of dynamic risk factors to direct correctional assessment and interventions. Thus, dynamic risk factors have a dual status. They are both useful predictors of reoffending and measures of risk status, and potential causes of reoffending, capable of serving an explanatory role as well as a predictive one. It is a simple and powerful conceptualization that has streamlined forensic and correctional research, program development, and the delivery of treatment. Despite its conceptual elegance we believe that the dual conceptualization of dynamic risk factors is problematic and these difficulties spill over into their role in assessment, assessment, treatment, and desistance contexts. In this publication, the nature and function of dynamic risk factors are investigated and their strengths and limitations identified. This book was originally published as a special issue of Psychology, Crime and Law.

Introduces risk assessment with key theories, proven methods, and state-of-the-art applications Risk Assessment: Theory, Methods, and Applications remains one of the few textbooks to address current risk analysis and risk assessment with an emphasis on the possibility of sudden, major accidents across various areas of practice—from machinery and manufacturing processes to nuclear power plants and transportation systems. Updated to align with ISO 31000 and other amended standards, this all-new 2nd Edition discusses the main ideas and techniques for assessing risk today. The book begins with an introduction of risk analysis, assessment, and management, and includes a new section on the history of risk analysis. It covers hazards and threats, how to measure and evaluate risk, and risk management. It also adds new sections on risk governance and risk-informed decision making; combining accident theories and criteria for evaluating data sources; and subjective probabilities. The risk assessment process is covered, as are how to establish context; planning and preparing; and identification, analysis, and evaluation of risk. Risk Assessment also offers new coverage of safe job analysis and semi-quantitative methods, and it discusses barrier management and HRA methods for offshore application. Finally, it looks at dynamic risk analysis, security and life-cycle use of risk. Serves as a practical and modern guide to the current applications of risk analysis and assessment, supports key standards, and supplements legislation related to risk analysis Updated and revised to align with ISO 31000 Risk Management and other new standards and includes new chapters on security, dynamic risk analysis, as well as life-cycle use of risk analysis Provides in-depth coverage on hazard identification, methodologically outlining the steps for use of checklists, conducting preliminary hazard analysis, and job safety analysis Presents new coverage on the history of risk analysis, criteria for evaluating data sources, risk-informed decision making, subjective probabilities, semi-quantitative methods, and barrier management Contains more applications and examples, new and revised problems throughout, and detailed appendices that outline key terms and acronyms Supplemented with a book companion website containing Solutions to problems, presentation material and an Instructor Manual Risk Assessment: Theory, Methods, and Applications, Second Edition is ideal for courses on risk analysis/risk assessment and systems engineering at the upper-undergraduate and graduate levels. It is also an excellent reference and resource for engineers, researchers, consultants, and practitioners who carry out risk assessment techniques in their everyday work.

Climate change, combined with the rapid and often unplanned urbanisation trends, is associated with a rising trend in the frequency and severity of disasters triggered by natural hazards. In order to face the impacts of such threats, it is necessary to have an appropriate Disaster Risk Assessment (DRA). Traditional DRA approaches for disaster risk reduction (DRR) have focused mainly on the hazard component of risk, with little attention to the vulnerability and the exposure components. To address this issue, this dissertation’s main objective is to develop and test a disaster risk modelling framework that incorporates socioeconomic vulnerability and the adaptive nature of exposure associated with human behaviour in extreme hydro-meteorological events in the context of SIDS. To achieve the objective, an Adaptive Disaster Risk Assessment (ADRA) framework is proposed. ADRA uses an index-based approach (PeVI) to assess the socioeconomic vulnerability using three components: susceptibility, lack of coping capacities, and lack of adaptation. Furthermore, ADRA explicitly incorporates the exposure component using two approaches; first, a logistic regression model was built using the actual evacuation rates observed during Hurricane Irma, and second, an Agent-based model is used to simulate how households change their exposure levels in relation to different sources of information

This book proposes a new approach to dynamic and online risk assessment of automated and autonomous marine systems, taking into account different environmental and operational conditions. The book presents lessons learnt from dynamic positioning incidents and accidents, and discusses the challenges of risk assessment of complex systems. The book begins by introducing dynamic and online risk assessment, before presenting automated and autonomous marine systems, as well as numerous dynamic positioning incidents. It then discusses human interactions with technology and explores how to quantify human error. Dynamic probabilistic risk assessment and online risk assessment are both considered fully, including case studies with the application of assisting operators in decision making in emergency situations. Finally, areas for future research are suggested. This practical volume offers tools and methodologies to help operators make better decisions and improve the safety of automated and autonomous marine systems. It provides a guideline for researchers and practitioners to perform dynamic probabilistic and online risk assessment, which also should be applicable to other complex systems outside the marine and maritime domain, such as nuclear power plants, chemical processes, autonomous transport systems, and space shuttles.

Dynamic Risk Analysis in the Chemical and Petroleum Industry focuses on bridging the gap between research and industry by responding to the following questions: What are the most relevant developments of risk analysis? How can these studies help industry in the prevention of major accidents? Paltrinieri and Khan provide support for professionals who plan to improve risk analysis by introducing innovative techniques and exploiting the potential of data share and process technologies. This concrete reference within an ever-growing variety of innovations will be most helpful to process safety managers, HSE managers, safety engineers and safety engineering students. This book is divided into four parts. The Introduction provides an overview of the state-of-the-art risk analysis methods and the most up-to-date popular definitions of accident scenarios. The second section on Dynamic Risk Analysis shows the dynamic evolution of risk analysis and covers Hazard Identification, Frequency Analysis, Consequence Analysis and Establishing the Risk Picture. The third section on Interaction with Parallel Disciplines illustrates the interaction between risk analysis and other disciplines from parallel fields, such as the nuclear, the economic and the financial sectors. The final section on Dynamic Risk Management addresses risk management, which may dynamically learn from itself and improve in a spiral process leading to a resilient system. Helps dynamic analysis and management of risk in chemical and process industry Provides industry examples and techniques to assist you with risk- based decision making Addresses also the human, economic and reputational aspects composing the overall risk picture