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Author Michael K. Lindell
Title Evacuation modelling: Algorithms, assumptions, and data Type Conference Article
Year 2011 Publication 8th International Conference on Information Systems for Crisis Response and Management: From Early-Warning Systems to Preparedness and Training, ISCRAM 2011 Abbreviated Journal ISCRAM 2011
Volume Issue Pages
Keywords (up) Algorithms; Decision making; Hurricanes; Information systems; Empirical data; Evacuation modelling; Hurricane evacuation; Information display; Local government; Training program; Uncertainty analysis
Abstract Survey researchers need to, Find out what assumptions evacuation modelers are making and collect empirical data to replace incorrect assumptions;, Obtain data on the costs of evacuation to households, businesses, and local government; and, Extend their analyses to address the logistics of evacuation and the process of re-entry. Evacuation modelers need to, Incorporate available empirical data on household evacuation behavior, and, Generate estimates of the uncertainties in their analyses. Cognitive scientists need to, Conduct experiments on hurricane tracking and evacuation decision making to better understand these processes, and, Develop training programs, information displays, and performance aids to assist local officials who have little or no previous experience in hurricane evacuation decision making.
Address Texas A and M University, Hazard Reduction and Recovery Center, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Lisbon Editor M.A. Santos, L. Sousa, E. Portela
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN 9789724922478 Medium
Track Conference Keynote Expedition Conference 8th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 707
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Author Béatrice Linot; Jérôme Dinet; François Charoy; Valérie L. Shalin
Title Information gain in sociotechnical systems 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 764-777
Keywords (up) Communication, information sharing, virtual information display.
Abstract Much of the crisis management literature focuses on improving communication by improving the integrity of communication equipment, vulnerable for example, to the loss of electricity. But communication issues arise in sociotechnical systems with functioning communication equipment, prompting researchers and practitioners alike to bemoan the absence of information sharing. Computer scientists envision a giant virtual display accessible to all, but little thought has gone into the principles for selecting, formatting and organizing content to make it useful. Here we argue that what is needed is information rather than data, and that situating data in context is key to the provision of information. Documentation of information exchange issues in real crisis management is quite superficial, generally pointing to conclusions without any supporting data. Using documentation of the Deepwater Horizon Accident in 2010, we distinguish between data and information, and the challenge this poses to the design of computational support for information sharing.
Address
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 Universal Design of ICT in Emergency Management Expedition Conference ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 2149
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