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Improving hurricane disaster preparedness: models for optimal reallocation of hospital capacity

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  • Jomon Aliyas Paul
  • Rajan Batta

Abstract

This research presents significant improvements to the hospital capacity planning models for hurricane disaster proposed by Paul and Batta. Firstly, we develop a model that reallocates hospital capacities taking into account the effect of casualty severity on medical care demands and travel time to hospitals on casualty outcomes. Secondly, travel time to hospitals, a key input to the model, is estimated using a stochastic simulation. Thirdly, in order to meet with challenges that arise as disaster evolves, we develop an algorithm that dynamically updates the pre-disaster plans to post-disaster reality. The algorithm evaluates prior decisions by dynamically updating the hospital status, travel times and status of the casualty clusters. We demonstrate the application of models in developing pre-disaster plans (hospital capacity and ambulance reallocation) through a case study on New Orleans. In addition, we show the application of the algorithm for post-disaster planning via illustrative examples.

Suggested Citation

  • Jomon Aliyas Paul & Rajan Batta, 2011. "Improving hurricane disaster preparedness: models for optimal reallocation of hospital capacity," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 10(2), pages 194-213.
    • Handle: RePEc:ids:ijores:v:10:y:2011:i:2:p:194-213
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    Cited by:

    1. Farahani, Reza Zanjirani & Lotfi, M.M. & Baghaian, Atefe & Ruiz, Rubén & Rezapour, Shabnam, 2020. "Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations," European Journal of Operational Research, Elsevier, vol. 287(3), pages 787-819.
    2. Nadide Caglayan & Sule Itir Satoglu, 2021. "Multi-Objective Two-Stage Stochastic Programming Model for a Proposed Casualty Transportation System in Large-Scale Disasters: A Case Study," Mathematics, MDPI, vol. 9(4), pages 1-22, February.
    3. Pouraliakbari-Mamaghani, Mahsa & Saif, Ahmed & Kamal, Noreen, 2023. "Reliable design of a congested disaster relief network: A two-stage stochastic-robust optimization approach," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).

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