Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Application of DEA Method in the Evaluation of Input and Benefit of Arctic Search and Rescue

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327970,
        author={Minglu  Ma and Yahan  Hu},
        title={Application of DEA Method in the Evaluation of Input and Benefit of Arctic Search and Rescue},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={arctic search and rescue; dea method; input and benefit},
        doi={10.4108/eai.2-12-2022.2327970}
    }
    
  • Minglu Ma
    Yahan Hu
    Year: 2023
    Application of DEA Method in the Evaluation of Input and Benefit of Arctic Search and Rescue
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327970
Minglu Ma1,*, Yahan Hu1
  • 1: China Waterborne Transport Research Institute
*Contact email: maminglu@wti.ac.cn

Abstract

Search and rescue (SAR) at sea is the basis for ensuring the safety of maritime navigation and the premise and guarantee for the development of maritime transportation. With the development and utilization of the Arctic Sea route, more and more countries participate in Arctic navigation. Countries around the polar region begin to focus on maritime SAR and continue to invest in the construction of relevant infrastructure. A certain amount of economic resources are consumed while ensuring polar transportation. There are continuous discussions on the input and benefits of SAR work. SAR input in the polar region can not only achieve great economic and social benefits but also cost huge human and material resources to national governments and societies. Therefore, it is essential to analyze the input and benefits of SAR. This paper analyzed the basic concept of the DEA method, the DEA model, and its basic theory, explored the feasibility to analyze the input and benefits of SAR in the region by virtue of the DEA method, and established an index system. It is of great practical significance to guide the neighboring polar countries and near-Arctic countries to carry out the analysis of Arctic SAR inputs and benefits and then participate in the construction of polar SAR in a targeted manner.