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A Decision Support System for Developing Evacuation Plans around Nuclear Power Stations

Author

Listed:
  • Antoine G. Hobeika

    (Center for Transportation Research, Virginia Polytechnic Institute and State University, 106 Faculty Street, Blacksburg, Virginia 24061)

  • Sigon Kim

    (Korea Transportation Institute, Ildong Building 968-5 Daechi-Dong, Kang Nam-Gu, 135-280, Seoul, Korea)

  • Robert E. Beckwith

    (Virginia Power, 5000 Dominion Blvd., Glen Allen, Virginia 23060)

Abstract

We developed a microcomputer software package for analyzing and developing evacuation plans around nuclear power stations, the transportation evacuation decision support system—TEDSS. It is designed to help emergency managers make decisions in evacuation planning and operations. The system helps the user prepare detailed evacuation master plans for different scenarios, including evacuation times, best routes, expected traffic bottlenecks, and the allocation of evacuees to different shelters. In an actual emergency, the system helps the user to make decisions as the nature of the disaster changes, such as selecting proper zones to evacuate, estimating evacuation times, and providing routing strategies for the particular emergency. TEDSS has a knowledge base that contains the evacuation expert rules, disaster-related information, and an inference engine, which is a sophisticated simulation model. TEDSS employs graphic displays and system control capabilities to keep it user-friendly, flexible, quick to maintain, and easy to expand and modify.

Suggested Citation

  • Antoine G. Hobeika & Sigon Kim & Robert E. Beckwith, 1994. "A Decision Support System for Developing Evacuation Plans around Nuclear Power Stations," Interfaces, INFORMS, vol. 24(5), pages 22-35, October.
    • Handle: RePEc:inm:orinte:v:24:y:1994:i:5:p:22-35
    DOI: 10.1287/inte.24.5.22
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    Citations

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    Cited by:

    1. Thomas J Cova & Justin P Johnson, 2002. "Microsimulation of Neighborhood Evacuations in the Urban–Wildland Interface," Environment and Planning A, , vol. 34(12), pages 2211-2229, December.
    2. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    3. Bo Chen & Zhicheng Li & Zaiyue Yang, 2022. "Nuclear Accident Emergency Response System: Radiation Field Estimation and Evacuation," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
    4. Belton, Valerie & Hodgkin, Julie, 1999. "Facilitators, decision makers, D.I.Y. users: Is intelligent multicriteria decision support for all feasible or desirable?," European Journal of Operational Research, Elsevier, vol. 113(2), pages 247-260, March.
    5. Moshtagh, Mehrdad & Fathali, Jafar & Smith, J. MacGregor, 2018. "The Stochastic Queue Core problem, evacuation networks, and state-dependent queues," European Journal of Operational Research, Elsevier, vol. 269(2), pages 730-748.
    6. Dean, Matthew D. & Nair, Suresh K., 2014. "Mass-casualty triage: Distribution of victims to multiple hospitals using the SAVE model," European Journal of Operational Research, Elsevier, vol. 238(1), pages 363-373.
    7. Cova, Thomas J. & Johnson, Justin P., 2003. "A network flow model for lane-based evacuation routing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 579-604, August.
    8. Bretschneider, S. & Kimms, A., 2011. "A basic mathematical model for evacuation problems in urban areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(6), pages 523-539, July.

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