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Multi-modal delivery routing planning of medical supplies for flood disasters considering rescue utility
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Changshi LIU1, Tao LIU2, Yongjun ZHU3, **, Junyu YUE4, Cheng WAN2, Junyu LI5
China Safety Science Journal | 2026, 36(1) : 216 - 226
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China Safety Science Journal | 2026, 36(1): 216-226
• Disaster Prevention and Mitigation Technology and Engineering •
Multi-modal delivery routing planning of medical supplies for flood disasters considering rescue utility
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Changshi LIU1, Tao LIU2, Yongjun ZHU3, **, Junyu YUE4, Cheng WAN2, Junyu LI5
Affiliations
  • 1School of Business Administration, Hunan University of Technology and Business, Changsha Hunan 410205, China
  • 2School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business, Changsha Hunan 410205, China
  • 3School of Accounting, Hunan University of Technology and Business, Changsha Hunan 410205, China
  • 4School of Artificial Intelligence and Advanced Computing, Hunan University of Technology and Business, Changsha Hunan 410205, China
  • 5School of Business Administration, Southwest University of Finance and Economics, Chengdu Sichuan 611130, China
Published: 2026-01-28 doi: 10.16265/j.cnki.issn1003-3033.2026.01.0753
Outline
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To quantify the rescue effect of medical supplies delivered to demand points at different times, the concept of rescue utility is introduced, and a rescue utility quantification function was constructed based on the time difference of medical supplies arriving at demand points. On this basis, a path planning model for multi-modal distribution of medical supplies in flood disasters was established with the objective of maximizing total rescue utility and minimizing total distribution time. According to the characteristics of the model, a HNSGA-II was designed for solution. Experiments were conducted using multiple types of examples. The results demonstrate that HNSGA-II achieves a 62% and 29% improvement in total rescue utility compared to the traditional Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and the Multi-Objective Artificial Bee Colony Algorithm (MOABCA), respectively. Additionally, the average satisfaction level of material delivery time is enhanced by 13% and 6.1%, respectively. These findings indicate that HNSGA-II significantly improves emergency rescue outcomes, exhibits superior multi-objective optimization capability, and ensures that disaster victims receive timely and effective treatment under emergency conditions.

rescue utility  /  flood disaster  /  medical supplies  /  multi-mode delivery  /  routing planning  /  hybrid non-dominated sorting genetic algorithm-II (HNSGA-II)
Changshi LIU, Tao LIU, Yongjun ZHU, Junyu YUE, Cheng WAN, Junyu LI. Multi-modal delivery routing planning of medical supplies for flood disasters considering rescue utility[J]. China Safety Science Journal, 2026 , 36 (1) : 216 -226 . DOI: 10.16265/j.cnki.issn1003-3033.2026.01.0753
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Year 2026 volume 36 Issue 1
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doi: 10.16265/j.cnki.issn1003-3033.2026.01.0753
  • Receive Date：2025-08-12
  • Online Date：2026-07-08
  • Published：2026-01-28
Article Data
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History
  • Received：2025-08-12
  • Revised：2025-11-21
Funding
Affiliations
    1School of Business Administration, Hunan University of Technology and Business, Changsha Hunan 410205, China
    2School of Intelligent Engineering and Intelligent Manufacturing, Hunan University of Technology and Business, Changsha Hunan 410205, China
    3School of Accounting, Hunan University of Technology and Business, Changsha Hunan 410205, China
    4School of Artificial Intelligence and Advanced Computing, Hunan University of Technology and Business, Changsha Hunan 410205, China
    5School of Business Administration, Southwest University of Finance and Economics, Chengdu Sichuan 611130, China
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