脆弱性(计算)
熵(时间箭头)
运输工程
流量网络
计算机科学
运筹学
工程类
区域科学
地理
计算机安全
数学
数学优化
量子力学
物理
作者
Tao Wen,Qiuya Gao,Yu‐Wang Chen,Kang Hao Cheong
标识
DOI:10.1016/j.ress.2022.108578
摘要
With the rise of global trade, maritime transportation networks have become an indispensable element of logistics networks. Approximately 80% of the global trade volume is transported by sea with the maritime logistics network fueling global economic integration. Due to the uncertainty of the transportation process and the impact of accidents, the reliability analysis of the logistics network is a topic of immense interest. In this paper, we propose an original and novel model to quantitatively analyze the vulnerability of the maritime logistics network by considering the importance of each port in the network. Three centrality measures that consider different topology information of the network are used in this paper to identify the importance of ports. Different information about the network is considered through the joint entropy and the multiscale factor q to evaluate the vulnerability of the logistics network. The Asia–Europe maritime transportation network serves as a real-world example to demonstrate the effectiveness and applicability of our proposed model. The experimental results suggest that the performance of the maritime network is closely related to the heterogeneity of the connectivity pattern and the process of decentralization can reduce the vulnerability of the maritime network. • A novel model is proposed to evaluate the vulnerability of maritime transportation networks. • This proposed method considers different topology information simultaneously. • The joint entropy is applied to consider different information with a multiscale factor. • Asia–Europe maritime network is used to demonstrate the effectiveness of this proposed model.
科研通智能强力驱动
Strongly Powered by AbleSci AI