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Pattern-based evacuation planning for urban areas

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  • Bretschneider, S.
  • Kimms, A.

Abstract

The population of an urban area may be in danger due to disasters like floods, hurricanes, chemical or nuclear accidents. This requires decisions to protect the affected population. One decision may be to evacuate the affected area. For the exceptional case of an evacuation an approach to reorganize the traffic routing of the endangered area is developed. In this paper a two-stage heuristic solution approach for a pattern-based mixed integer dynamic network flow model is presented. The model restructures the traffic routing such that the evacuees leave the evacuation area as safe as possible and as early as possible within the considered time horizon.

Suggested Citation

  • Bretschneider, S. & Kimms, A., 2012. "Pattern-based evacuation planning for urban areas," European Journal of Operational Research, Elsevier, vol. 216(1), pages 57-69.
  • Handle: RePEc:eee:ejores:v:216:y:2012:i:1:p:57-69
    DOI: 10.1016/j.ejor.2011.07.015
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    References listed on IDEAS

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    1. Xie, Chi & Lin, Dung-Ying & Travis Waller, S., 2010. "A dynamic evacuation network optimization problem with lane reversal and crossing elimination strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 295-316, May.
    2. Daganzo, Carlos F., 1995. "The cell transmission model, part II: Network traffic," Transportation Research Part B: Methodological, Elsevier, vol. 29(2), pages 79-93, April.
    3. 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.
    4. Chiu, Yi-Chang & Zheng, Hong, 2007. "Real-time mobilization decisions for multi-priority emergency response resources and evacuation groups: Model formulation and solution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 43(6), pages 710-736, November.
    5. 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.
    6. 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.
    7. John J. Jarvis & H. Donald Ratliff, 1982. "Note---Some Equivalent Objectives for Dynamic Network Flow Problems," Management Science, INFORMS, vol. 28(1), pages 106-109, January.
    8. Ng, ManWo & Waller, S. Travis, 2010. "Reliable evacuation planning via demand inflation and supply deflation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 1086-1094, November.
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    Cited by:

    1. repec:spr:annopr:v:255:y:2017:i:1:d:10.1007_s10479-016-2125-4 is not listed on IDEAS
    2. Pillac, Victor & Van Hentenryck, Pascal & Even, Caroline, 2016. "A conflict-based path-generation heuristic for evacuation planning," Transportation Research Part B: Methodological, Elsevier, vol. 83(C), pages 136-150.
    3. Uchida, Kenetsu, 2012. "A model evaluating effect of disaster warning issuance conditions on “cry wolf syndrome” in the case of a landslide," European Journal of Operational Research, Elsevier, vol. 218(2), pages 530-537.
    4. repec:eee:ejores:v:264:y:2018:i:3:p:978-993 is not listed on IDEAS
    5. Fry, John & Binner, Jane M., 2016. "Elementary modelling and behavioural analysis for emergency evacuations using social media," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1014-1023.

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