Decision Making Analysis And Optimization Modeling Of Emergency Warnings For Major Accidents

This book highlights cutting-edge research into emergency early warning management and decision-making for severe accidents. Using toxic gas leakages as examples, it puts forward new design methods for emergency early warning systems, as well as a systematic description of emergency early warning information communication mechanisms and characteristics of regional evacuation, based on a wide range of theories, including safety engineering, information engineering, communication, behaviorology and others. The book applies a range of methods, such as case analysis, questionnaire interviews, and multi-objective optimization modeling. Drawing on this basis, it subsequently proposes a multi-objective optimization modeling and algorithm for emergency path selection, together with an evacuation risk assessment method. Divided into six chapters prepared by an international team of researchers, the book addresses the design of early warning systems, communication and dissemination mechanisms of early warning information, characteristics of regional evacuation, multi-objective optimization of emergency paths, and evacuation risk assessment. The book offers an essential reference guide for engineering technicians and researchers in a wide range of fields, including emergency management, safety science and engineering, disaster relief engineering, and transportation optimization, as well as graduate students in related majors at colleges and universities.

This book serves as a great reference for engineering technicians and researchers in a wide range of fields, including emergency management, public safety science, risk management, emergency communication, and transportation optimization. This book carried out researches about the public emergency behavior guidance strategies and methods for major chemical accidents. They put forward the classification model of emergency evacuation events, the selection of public emergency guidance strategies, the quantitative assessment of emergency response risk as well as the characteristics of sub-regional evacuation based on a wide range of theories, including safety engineering, social science, behavioral science, etc. Methods, such as case statistics and analysis, field research as well as modeling and simulation, were applied. Five chapters were covered by the book, including introduction of study background, statistics and analysis of hazardous chemical leakage accidents and emergency evacuation response in China in recent ten years, shelter-in-place risk assessment for high-pressure natural gas wells with hydrogen sulphide, dynamic emergency route planning, and characteristics analysis of sub-regional evacuation.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.

This book presents the proceedings of The EAI International Conference on Computer Science: Applications in Engineering and Health Services (COMPSE 2019). The conference highlighted the latest research innovations and applications of algorithms designed for optimization applications within the fields of Science, Computer Science, Engineering, Information Technology, Management, Finance and Economics and Health Systems. Focusing on a variety of methods and systems as well as practical examples, this conference is a significant resource for post graduate-level students, decision makers, and researchers in both public and private sectors who are seeking research-based methods for modelling uncertain and unpredictable real-world problems.

This book mainly addresses the Emergency Response Decision Support System (ERDSS) and its applications, making use of ten related modules and a number of key technologies, especially Disaster Assessing Technology, Adaptive Information Evaluation Technology and Knowledge Management Technology. The book is especially valuable in coping with disasters that result in the loss of human life and property, and which threaten the stability of our societies. The ERDSS enables people to prepare for potential incidents, to rapidly respond to them, and to cope with their aftermath. Presenting practical solutions, this book helps readers to understand the ERDSS and effectively respond to emergency events.

Following a series of natural disasters, including Hurricane Katrina, that revealed shortcomings in the nation's ability to effectively alert populations at risk, Congress passed the Warning, Alert, and Response Network (WARN) Act in 2006. Today, new technologies such as smart phones and social media platforms offer new ways to communicate with the public, and the information ecosystem is much broader, including additional official channels, such as government social media accounts, opt-in short message service (SMS)-based alerting systems, and reverse 911 systems; less official channels, such as main stream media outlets and weather applications on connected devices; and unofficial channels, such as first person reports via social media. Traditional media have also taken advantage of these new tools, including their own mobile applications to extend their reach of beyond broadcast radio, television, and cable. Furthermore, private companies have begun to take advantage of the large amounts of data about users they possess to detect events and provide alerts and warnings and other hazard-related information to their users. More than 60 years of research on the public response to alerts and warnings has yielded many insights about how people respond to information that they are at risk and the circumstances under which they are most likely to take appropriate protective action. Some, but not all, of these results have been used to inform the design and operation of alert and warning systems, and new insights continue to emerge. Emergency Alert and Warning Systems reviews the results of past research, considers new possibilities for realizing more effective alert and warning systems, explores how a more effective national alert and warning system might be created and some of the gaps in our present knowledge, and sets forth a research agenda to advance the nation's alert and warning capabilities.