Advertisement

Design Principles of Coordinated Multi-incident Emergency Response Systems

  • Rui Chen
  • Raj Sharman
  • H. Raghav Rao
  • Shambhu Upadhyaya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3495)

Abstract

Emergency response systems play an important role in homeland security nowadays. Despite this, research in the design of emergency response systems is lacking. An effective design of emergency response system involves multi-disciplinary design considerations. On the basis of emergency response system requirement analysis, in this paper, we develop a set of supporting design concepts and strategic principles for an architecture for a coordinated multi-incident emergency response system

Keywords

Emergency Medical Service Emergency Response Subway Station Multiple Incident Resource Allocation Mechanism 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Probasco, K., Mogle, R.: The 21st Century First Responder: The Vision. Prepared for the U.S. Department of Energy under Contract DE-AC06-76RLO 1830 (1998)Google Scholar
  2. 2.
    Dykstra, E.: Toward an International System Model in Emergency Management. In: Public Entity Risk Institute Symposium (2003)Google Scholar
  3. 3.
    Neal, D.: Transition from Response to Recovery: A Look at the Lancaster, Texas, Tornado. Journal of Emergency Management 2(1) (2004)Google Scholar
  4. 4.
    Arens, Y., Rosenbloom, P.: Responding to the Unexpected. Communication of ACM 46(9) (September 2003)Google Scholar
  5. 5.
    Shen, S., Shaw, M.: Managing Coordination in Emergency Response Systems with Information Technologies. IT for Emergency Response System Coordination. In: Proceedings of the Tenth American Conference on Information Systems, New York (2004)Google Scholar
  6. 6.
    Mehrotra, S.: Project Rescue: Challenges in Responding to the Unexpected. In: Proceedings of 16th Annual Symposium on Electronic Imaging Science and Technology, San Jose, CA (2004)Google Scholar
  7. 7.
    Gillis, B.: E-Safety: Saving Lives and Enhancing Security for Washington Citizens. WSU Center to Bridge the Digital Divide. White Paper 2003.06.01 (2003)Google Scholar
  8. 8.
    Macko, S.: The Threat of Chemical and Biological Attack. Emergency Net News (ENN) Daily Report, 08/27/96 (1996)Google Scholar
  9. 9.
    Shea, D.: Small-scale Terrorist Attacks Using Chemical and Biological Agents: An Assessment Framework and Preliminary Comparisons. In: Congressional Research service, May 20 (2004)Google Scholar
  10. 10.
    Jump, P., Bruce, J.: The Response Factor. Electric Perspectives 28(3), 22 (2003), ABI/INFORM GlobalGoogle Scholar
  11. 11.
    Department of Homeland Security, http://www.dhs.org/
  12. 12.
    Green, L.: Improving Emergency Responsiveness with Management Science. Emergency Service Model, 1 (2000)Google Scholar
  13. 13.
    Carafano, J.: Preparing Responders to Respond: The Challenges to Emergency Preparedness in the 21st Centry. Heritage Lectures 812 (November 20, 2003)Google Scholar
  14. 14.
    Wimberly, R.: How Quickly Can We Respond. Occupational Health & Safety 73(4), 46 (2004), ABI/INFORM GlobalGoogle Scholar
  15. 15.
    Walks, I.: Emergency Response outside the Envelope. Security Management 53 (2003)Google Scholar
  16. 16.
    Turoff, M.: The Design of A Dynamic Emergency Response Management Information System (DERMIS). Journal of Information Technology Theory and Application 5(4), 1 (2004), ABI/INFORM GlobalGoogle Scholar
  17. 17.
    Baligh, H., Burton, R.M., Obel, B.: Designing organization structures: An expert system method. In: Roos, J.L. (ed.) Economics and Artificial Intelligence, Pergamon, Oxford, pp. 177–181 (1985)Google Scholar
  18. 18.
    Rao, R., Chaudhury, A., Chakka, M.: Modeling Team Processes: Issues and a Specific Example. Information Systems Research 6(3), 255–285 (1995)CrossRefGoogle Scholar
  19. 19.
    Malone, T.: The Interdisciplinary Study of Coordination. ACM Computing Surveys 26(1) (1994)Google Scholar
  20. 20.
    Crowston, K.: Coordination Theory. Human-Computer Interaction in Management Information Systems, vol. I.M.E. Sharpe (2001)Google Scholar
  21. 21.
    Crowston, K.: A Coordiantion Theory Approach to Process Description and Redesign. In: Malone, T.W., Crowston, K., Herman, G. (eds.) Organizing Business Knowledge: The MIT Process Handbook. MIT Press, Cambridge (2002)Google Scholar
  22. 22.
    Van Der Aalst, W.: Workflow Patterns. Distributed and Parallel Databases 14(1), 5–51 (2003), ISSN:0926-8782CrossRefGoogle Scholar
  23. 23.
    Chaffee, M.: DVATEX: Navy Medicine’s Pioneering Approach to Improving Hospital Emergency Preparedness. Journal of Emergency Management 2(1) (2004)Google Scholar
  24. 24.
    Business & Finance Bulletin IS-3 Electronic Information Security, November 12. University of California, California (1998)Google Scholar
  25. 25.
    Sawyer, S.: Mobility and the First Responder. Communications of the ACM 47(3) (March 2004)Google Scholar
  26. 26.
    Anderson, P.: Information Technology: Where is It in the Coordination of Emergency Services. In: Asia Pacific Police Technology Conference (1991)Google Scholar
  27. 27.
    Jenvald, J.: Simulation-supported Live Training for Emergency Response in Hazardous Environments. Simulation & Gaming (2004)Google Scholar
  28. 28.
    Huang, Y., Garcia-Molina, H.: Publish/Subscribe in a Mobile Environment. In: 2nd ACM International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE (2001)Google Scholar
  29. 29.
    NIMS Document Directory (March 1, 2004), http://www.nimsonline.com/nims_3_04/index.htm
  30. 30.
    State and Local Guide (SLG) 101: Guide for All-Hazard Emergency Operations Planning: First eponders – FEMA, http://www.fema.gov/fema/first_res.shtm
  31. 31.
    Incident Command System, US Coast Guard Site, http://www.uscg.mil/hq/gm/mor/Articles/ICS.htm
  32. 32.
    Consequences Assessment Tool Set (CATS), http://www.saic.com/products/simulation/cats/cats.html
  33. 33.
    Raghu, T.S., Jayaraman, B., Rao, H.R.: Toward an Integration of Agent- and Activity-Centric Approaches in Organizational Process Modeling: Incorporating Incentive Mechanisms. Information Systems Research 15(4) (2004)Google Scholar
  34. 34.
    Savas, E.S.: Simulation and Cost-effectiveness Analysis of New York’s Emergency Ambulance Service. Management Science 23(2), 146–158 (1976)CrossRefGoogle Scholar
  35. 35.
    Fitzsimmons, J.A.: A Methodology for Emergency Ambulance Deployment. Management Science 19(6), 627–636 (1973)CrossRefGoogle Scholar
  36. 36.
    Rider, K.L.: A Parametric Model for the Allocation of Fire Companies in New York City. Management Science 23(2), 146–158 (1976)zbMATHCrossRefMathSciNetGoogle Scholar
  37. 37.
    Green, L.: A Multiple Dispatch Queuing Model of Police Patrol Operations. Management Science 30(6), 653–664 (1984)zbMATHCrossRefGoogle Scholar
  38. 38.
    Jenvald, J., Morin, M.: Simulation-supported Live Training for Emergency Response in Hazardous Environments. Simulation and Gaming 35(3), 363–377 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Rui Chen
    • 1
  • Raj Sharman
    • 1
  • H. Raghav Rao
    • 1
    • 2
  • Shambhu Upadhyaya
    • 2
  1. 1.Department of Management of Science and SystemsState University of New York at BuffaloBuffalo
  2. 2.Department of Computer Science and EngineeringState University of New York at BuffaloBuffalo

Personalised recommendations