Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19–21, 2023, Hangzhou, China

Research Article

Vulnerability Evaluation of Port Logistics System and Identification of Contribution Factors Based on Entropy Power Method

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334311,
        author={Cuilian  Liu and Lingling  Zhang and Chenchen  Fang},
        title={Vulnerability Evaluation of Port Logistics System and Identification of Contribution Factors Based on Entropy Power Method},
        proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China},
        publisher={EAI},
        proceedings_a={ICBBEM},
        year={2023},
        month={7},
        keywords={port logistics systems; vulnerability; entropy method; contribution factor identifica-tion},
        doi={10.4108/eai.19-5-2023.2334311}
    }
    
  • Cuilian Liu
    Lingling Zhang
    Chenchen Fang
    Year: 2023
    Vulnerability Evaluation of Port Logistics System and Identification of Contribution Factors Based on Entropy Power Method
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334311
Cuilian Liu1,*, Lingling Zhang1, Chenchen Fang1
  • 1: Dalian Maritime University
*Contact email: liu_cuilian@126.com

Abstract

In order to objectively evaluate the vulnerability of port logistics systems and identify the contributing factors, a vulnerability evaluation index system for port logistics systems is constructed using the framework of "exposure-sensitivity-adaptability". Taking Lianyungang port as an example, the vulnerability of its logistics system was quantitatively analyzed by combining the entropy weighting method and the linear weighting method, and the main contributing factors of vulnerability were identified using the contribution degree model. The results show that the vulnerability of the port logistics system of Lianyungang is fluctuating and decreasing, and at present it is moderately vulnerable, with the main contributing factors focusing on innovation and development capacity, infrastructure and equipment, logistics operation level.