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

Research Article

A Study on the Optimization of Regional Port Investments Considering Disasters under Uncertain Demand

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  • @INPROCEEDINGS{10.4108/eai.19-5-2023.2334364,
        author={Xu  Zhao and Yuqian  Qin and Jinyu  Wang},
        title={A Study on the Optimization of Regional Port Investments Considering Disasters under Uncertain Demand},
        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 investment uncertainty of demand disaster prevention multi-objective optimisation},
        doi={10.4108/eai.19-5-2023.2334364}
    }
    
  • Xu Zhao
    Yuqian Qin
    Jinyu Wang
    Year: 2023
    A Study on the Optimization of Regional Port Investments Considering Disasters under Uncertain Demand
    ICBBEM
    EAI
    DOI: 10.4108/eai.19-5-2023.2334364
Xu Zhao1, Yuqian Qin1,*, Jinyu Wang1
  • 1: Dalian Maritime University
*Contact email: qinyuqian199811@163.com

Abstract

As a key link in the maritime supply chain, reasonable investment in ports can enhance the location advantages of the hinterland. In this paper, the investment problem of multi-port areas considering disasters under uncertain demand is studied, an optimisation model is established with the objective of minimizing the total system cost and maximising the efficiency of port operations, and an analysis of the port cluster in the Yangtze River Delta region is carried out to obtain an investment plan for the port cluster with reasonable results. This investment optimization can provide some reference for government investment in the construction of ports.

Keywords
port investment uncertainty of demand disaster prevention multi-objective optimisation
Published
2023-07-24
Publisher
EAI
http://dx.doi.org/10.4108/eai.19-5-2023.2334364
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