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Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents (Hardcover, 1st ed. 2019)
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Decision-making Analysis and Optimization Modeling of Emergency Warnings for Major Accidents (Hardcover, 1st ed. 2019)
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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.
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