Enhancement Strategy for Port Resilience: Shipping Route Optimization Methods Based on Network Characteristics of Ports

被引:0
|
作者
Yuan, Xiang [1 ]
He, Xinhao [1 ]
机构
[1] Shanghai Maritime Univ, Sch Econ & Management, Shanghai 201306, Peoples R China
关键词
shipping route network; port resilience; link prediction; optimization; shipping network; network characteristics; LINK PREDICTION; VULNERABILITY;
D O I
10.3390/jmse13020325
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
Ports and their affiliated shipping routes are fundamental to the maritime logistics system, crucial for global trade. However, they face risks from natural disasters and human-induced crises. Enhancing port resilience, the ability to quickly recover and maintain operations during disruptions is vital for a robust maritime network. This study focuses on enhancing port resilience by improving the shipping route network, using an innovative link-prediction-based approach. Initially, a multi-dimensional resilience analysis is conducted to identify key low-resilience and bottleneck ports, guiding targeted network optimizations. Then, a novel link prediction algorithm is applied to find potential new shipping connections, significantly enhancing network efficiency, robustness, and port resilience. The optimized network effectively improves the connectivity of critical low-resilience ports with central hub ports and bottleneck ports with surrounding ones. Route diversification mitigates risks and strengthens overall resilience. Key low-resilience ports and bottleneck ports are reduced by an average of 20% and 25%. Finally, practical strategies are proposed. Low-resilience ports should establish direct connections with major hubs, and regional sub-networks can offer support. For bottleneck ports, additional secondary and short distance links should be added to transform them into more integrated hubs, enhancing the network's robustness. These strategies improve the network's operational capacity during crises, ensuring efficient cargo flow.
引用
收藏
页数:34
相关论文
共 45 条
  • [21] A multi-source power grid's resilience enhancement strategy based on subnet division and power dispatch
    Wang, Shuliang
    Dong, Qiqi
    INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2023, 41
  • [22] Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming
    Hou, Hui
    Tang, Junyi
    Zhang, Zhiwei
    Wang, Zhuo
    Wei, Ruizeng
    Wang, Lei
    He, Huan
    Wu, Xixiu
    APPLIED ENERGY, 2023, 338
  • [23] Time-based resilience metric for smart manufacturing systems and optimization method with dual-strategy recovery
    Feng, Qiang
    Hai, Xingshuo
    Liu, Meng
    Yang, Dezhen
    Wang, Zili
    Ren, Yi
    Sun, Bo
    Cai, Baoping
    JOURNAL OF MANUFACTURING SYSTEMS, 2022, 65 : 486 - 497
  • [24] Analyzing optimization performance of heat exchanger network synthesis based on nodes' adjustment strategy
    Xu Y.
    Cui G.
    Huagong Jinzhan/Chemical Industry and Engineering Progress, 2021, 40 (07): : 3608 - 3616
  • [25] Factors influence the lubrication characteristics investigation and optimization of bearing based on neural network
    He, Zhenpeng
    Gong, Wenqin
    INDUSTRIAL LUBRICATION AND TRIBOLOGY, 2016, 68 (03) : 369 - 385
  • [26] A two-stage resilience promotion approach for urban rail transit networks based on topology enhancement and recovery optimization
    Xu, Chen
    Xu, Xueguo
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 635
  • [27] Optimization Methods of High-speed Machining Processing based on Fuzzy Neural Network
    Sun, Quanping
    FUNCTIONAL MANUFACTURING TECHNOLOGIES AND CEEUSRO II, 2011, 464 : 5 - 10
  • [28] Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids
    Jumani, Touqeer Ahmed
    Mustafa, Mohd Wazir
    Hamadneh, Nawaf N.
    Atawneh, Samer H.
    Rasid, Madihah Md
    Mirjat, Nayyar Hussain
    Bhayo, Muhammad Akram
    Khan, Ilyas
    ENERGIES, 2020, 13 (16)
  • [29] Modelling on the Enhancement of Computer Network Structure Based on Nash Game Theory and Graph Structure Optimization Theory
    Lin, Su
    Yang, Hu
    2015 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL SCIENCE, HUMANITIES, AND MANAGEMENT, ASSHM 2015, 2015, : 1128 - 1136
  • [30] Slender Swarm Flamingo optimization-based residual low-light image enhancement network
    Fernisha, S. R.
    Christopher, C. Seldev
    Lyernisha, S. R.
    IMAGING SCIENCE JOURNAL, 2021, 69 (5-8): : 391 - 406