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Integrating simulation modelling and GIS: spatial decision support systems for evacuation planning

Author

Listed:
  • F N de Silva

    (University of Aberdeen)

  • R W Eglese

    (Lancaster University)

Abstract

A prototype spatial decision support system (SDSS) has been designed for contingency planning for emergency evacuations which combines simulation techniques with spatial data handling and display capabilities of a geographical information system (GIS). It links together the topographical support and analysis provided by the GIS–ARC/INFO, with a simulation model designed to simulate the dynamics of an evacuation process in detail. Our aim has been to design a SDSS so that it provides an interactive evacuation simulator with dynamic graphics that allows for experimentation with policies by providing rapid feedback from the simulation. The idea is that emergency planners will be able to use the SDSS to experiment with emergency evacuation plans in order to plan for different contingencies. This paper concentrates on the issues involved in designing an effective integration link interface between the GIS and the simulation model when building a SDSS of this type.

Suggested Citation

  • F N de Silva & R W Eglese, 2000. "Integrating simulation modelling and GIS: spatial decision support systems for evacuation planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(4), pages 423-430, April.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:4:d:10.1057_palgrave.jors.2600879
    DOI: 10.1057/palgrave.jors.2600879
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    Citations

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    Cited by:

    1. Cuiyun Cheng & Xin Qian & Yuchao Zhang & Qingeng Wang & Jinbao Sheng, 2011. "Estimation of the evacuation clearance time based on dam-break simulation of the Huaxi dam in Southwestern China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 57(2), pages 227-243, May.
    2. Jay Simon & Craig W. Kirkwood & L. Robin Keller, 2014. "Decision Analysis with Geographically Varying Outcomes: Preference Models and Illustrative Applications," Operations Research, INFORMS, vol. 62(1), pages 182-194, February.
    3. Stepanov, Alexander & Smith, James MacGregor, 2009. "Multi-objective evacuation routing in transportation networks," European Journal of Operational Research, Elsevier, vol. 198(2), pages 435-446, October.
    4. 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.
    5. Yumashev, Dmitry & Johnson, Paul, 2017. "Flexible decision making in the wake of large scale nuclear emergencies: Long-term response," European Journal of Operational Research, Elsevier, vol. 261(1), pages 368-389.
    6. I. Alberico & P. Petrosino & G. Maglione & L. Bruno & F. Capaldo & A. Dal Piaz & L. Lirer & S. Mazzola, 2012. "Mapping the vulnerability for evacuation of the Campi Flegrei territorial system in case of a volcanic unrest," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(2), pages 1823-1854, November.
    7. Annetta Burger & Talha Oz & William G. Kennedy & Andrew T. Crooks, 2019. "Computational Social Science of Disasters: Opportunities and Challenges," Future Internet, MDPI, vol. 11(5), pages 1-31, April.
    8. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    9. Darvishan, Ayda & Lim, Gino J., 2021. "Dynamic network flow optimization for real-time evacuation reroute planning under multiple road disruptions," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    10. 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.
    11. Eiselt, H.A. & Bhadury, Joy & Burkey, Mark L., 2011. "An optimization-based framework for modeling counterterrorism strategies," MPRA Paper 36117, University Library of Munich, Germany.

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