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Author (up) Chao Sun; Fushen Zhang; Shaobo Zhong; Quanyi Huang
Title Expression and Deduction of emergency scenario based on scenario element model Type Conference Article
Year 2015 Publication ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2015
Volume Issue Pages
Keywords Contingency plan; Emergencies; Evolution of scenario; Scenario; Scenario Element
Abstract In the context of an era filled with frequent occurrence of emergencies, it is urgent to carry out effective treatment. The existing studies focus their research on general rule of emergency evolution, ignoring the consideration of concrete composition of scenario, whilethe formulation of contingency plan based on the real evolution process of the emergency is rare. In this paper, the basic model of scenario elements is proposed firstly. Next, from the perspective of evolution and disposal of emergency, the framework of scenario for emergencies and emergency disposal is put forward, which paves the way for depiction and scenario analysis of emergency. Finally, this paper takes the stampede as an example, dividing the scenario of emergency and its components, namely scenario elements, and representing the evolution scenario of stampede by scenario elements model. Our method takes advantage of scenario elements model to provide support for the formulation and evaluation of emergency exercise.
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Corporate Author Thesis
Publisher University of Agder (UiA) Place of Publication Kristiansand, Norway Editor L. Palen; M. Buscher; T. Comes; A. Hughes
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9788271177881 Medium
Track Analytical Modelling and Simulation Expedition Conference ISCRAM 2015 Conference Proceedings ? 12th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 1189
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Author (up) Min Zhu; Ruxue Chen; Shi Chen; Shaobo Zhong; Cheng Liu; Tianye Lin; Quanyi Huang; Xin Zhai
Title A Conceptual Double Scenario Model for Predicting Medical Service Needs in the International Disaster Relief Action Type Conference Article
Year 2018 Publication ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2018
Volume Issue Pages 409-418
Keywords Disaster Relief; Medical Service Needs; Scenario Model
Abstract Man-made and natural disasters have affected people worldwide. Mass casualty incidents would create a surge in demand for medical services. Medical service needs are the basis of medical strategic readiness plan. In recent years, international actions have been criticized for being ill-adapted to dominating health needs of the affected region. The “Scenario-Response” modeling is an important method in disaster prediction. This research established a medical service needs scenario model with two different levels of ambition: a disaster scenario, in which casualty figure, composition of injuries are constrained by the types of the disaster as well as the degree of the damage, and a country scenario, in which the healthcare needs are constrained by the health coverage and the health condition of local people. Armed conflicts in Yemen and Syria Arab Republic were analyzed by this model. The results showed that the outcome of this model fit the reality.
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Corporate Author Thesis
Publisher Rochester Institute of Technology Place of Publication Rochester, NY (USA) Editor Kees Boersma; Brian Tomaszeski
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 978-0-692-12760-5 Medium
Track Planning, Foresight and Risk Analysis Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2118
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