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Author Ehren Hill; Frank Hardisty pdf  isbn
openurl 
  Title CR-Site: An infrastructure siting tool for crisis response Type Conference Article
  Year 2012 Publication ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2012  
  Volume Issue Pages  
  Keywords Disaster prevention; Geographic information systems; Automated methods; Disaster relief; Information technology tools; Infrastructure; ModelBuilder; Optimal locations; Python; Technical design; Information systems  
  Abstract Many crisis response and recovery efforts require choosing locations in order to deliver needed materials and services. Automated methods can help choose optimal locations for relief camps, field hospitals, command centers, and other critical relief infrastructure. However, current information technology tools for siting relief infrastructure suffer from exposing too much complexity to the user. We are developing a tool, CR-Site, which we hope will serve as an exemplar of an emergency siting tool that eliminates unnecessary complexity, while exposing necessary parameters. In this paper, we describe the technical design and user workflow for CR-Site and provide a case study for the functionality provided by CR-Site. © 2012 ISCRAM.  
  Address Department of Geography, Pennsylvania State University, United States  
  Corporate Author Thesis  
  Publisher Simon Fraser University Place of Publication Vancouver, BC Editor (up) L. Rothkrantz, J. Ristvej, Z.Franco  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780864913326 Medium  
  Track Poster Session Expedition Conference 9th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 131  
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Author Loïc Bidoux; Jean-Paul Pignon; Frédérick Bénaben pdf  isbn
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  Title A model driven system to support optimal collaborative processes design in crisis management Type Conference Article
  Year 2014 Publication ISCRAM 2014 Conference Proceedings – 11th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2014  
  Volume Issue Pages 245-249  
  Keywords Algorithms; Benchmarking; Decision making; Inference engines; Optimization; Process design; Collaborative process; Crisis management; Inter-agencies coordination; Key performance indicators; Model-driven; Multi-criteria decision analysis; Optimization algorithms; Technical design; Information systems  
  Abstract This paper presents a system dedicated to support crises managers that is focused on the collaboration issues of the actors involved in the response. Based on context knowledge, decision makers' objectives and responders' capabilities, the system designs in a semi-automatic way a set of collaborative process alternatives that can optimize coordination activities during an ongoing crisis resolution. The technical design of the system mixes optimization algorithms with inference of logical rules on an ontology. Candidate processes are evaluated through multi-criteria decision analysis and proposed to the decision-makers with associated key performance indicators to help them with their choice. The overall approach is model driven through a crisis meta-model and an axiomatic theory of crisis management.  
  Address Mines Albi – Université de Toulouse, France; Thales Communications and Security, France  
  Corporate Author Thesis  
  Publisher The Pennsylvania State University Place of Publication University Park, PA Editor (up) S.R. Hiltz, M.S. Pfaff, L. Plotnick, and P.C. Shih.  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780692211946 Medium  
  Track Decision Support Systems Expedition Conference 11th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 325  
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