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A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities

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Listed:
  • Chenmei Teng

    (Suzhou City University)

  • Poshan Yu

    (Soochow University)

  • Liwen Liu

    (Soochow University)

Abstract

In the realm of emergency response, the swift and efficient deployment of mobile units is of paramount importance. This research introduces a strategy centered around the “proximity response” principle, aiming to strategically position emergency services nearer to areas of higher demand. This approach is designed to enhance response times while optimizing resource allocation. Through the integration of practical planning with user-friendly computational methodologies, this paper presents a novel framework for improving the allocation and reach of emergency facilities. This includes extending critical care to broader areas and minimizing operational costs. The simulations conducted demonstrate that this strategy markedly enhances crisis management effectiveness. The paper also includes a statistical analysis that provides substantial evidence of the practicality and efficiency of this approach in real-world emergency scenarios. This study contributes to the field by offering a new perspective on resource distribution and emergency response planning, potentially impacting the way these critical services are organized and deployed.

Suggested Citation

  • Chenmei Teng & Poshan Yu & Liwen Liu, 2024. "A cooperative optimization model and enhanced algorithm for guided strategies in emergency mobile facilities," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02782-3
    DOI: 10.1057/s41599-024-02782-3
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