Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents - Rilegato

Gai, Wenmei; Du, Yan; Deng, Yunfeng

Rilegato

ISBN 10: 9811328706 ISBN 13: 9789811328701

Casa editrice: Springer Nature, 2018

Riassunto

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.

Su questo libro

Informazioni sull?autore

Wenmei Gai is a lecturer at the School of Engineering and Technology, China University of Geosciences (Beijing). She received her PhD in Safety Science and Engineering from the University of Science and Technology Beijing, China. Her research discipline is in safety science with specialisation in information dissemination, operations research and emergency management. She has published a significant number of publications in her research field of expertise. Her current research on emergency decision-making has been funded by the National Natural Science Foundation of China.

Yan Du is a lecturer at the School of Civil and Resources Engineering, University of Science and Technology Beijing. His research discipline is mine emergency risk avoidance technology and harmful substances control. He has published a significant number of publications in his research field of expertise.

Yunfeng Deng is a research professor at the Emergency Management Training Center, Party School of the Central Committee of C.P.C (Chinese Academy of Governance). He received his PhD in engineering from the University of Science and Technology Beijing, China; MSc from the Northeastern University, China. He is mainly engaged in the research fields of work safety, emergency management and public safety protection. From 2005 to 2012 he served as director of the Research Institute of Public Safety, China Academy of safety Sciences and Technology. In 2012 he won a Special Prize for The State Scientific and Technological Progress Award in China. From 2014 onwards he is a member of the fifth National Expert Group on Safety in Production of China.

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 9811328706
• ISBN 13: 9789811328701
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 180
• Contatto del produttore: {language_tag:it_IT,value:"Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com"}