Port Node Importance and Risk Assessment in Shipping Networks Based on An Improved PageRank Approach and Reliability Analysis

<div class="section abstract"><div class="htmlview paragraph">Since the rapid development of the shipping and port industries in the second half of the twentieth century, the introduction of container technology has transformed cargo management systems, while simultaneously increasing the vulnerability of global shipping networks to natural disasters and international conflicts. To address this challenge, the study leverages AIS data sourced from the Vessel Traffic Data website to extract ship stop trajectories and construct a shipping network. The constructed network exhibits small-world characteristics, with most port nodes having low degree values, while a few ports possess extremely high degree values. Furthermore, the study improved the PageRank algorithm to assess the importance of port nodes and introduced reliability theory and risk assessment theory to analyze the failure risks of port nodes, providing new methods and perspectives for analyzing the reliability of the shipping network.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-02-20
DOI
https://doi.org/10.4271/2025-01-7183
Primary Topic
Complex Network Analysis Techniques
Type
article
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article

Port Node Importance and Risk Assessment in Shipping Networks Based on An Improved PageRank Approach and Reliability Analysis

Li Ding, Cheng Cheng, Xilu Zhao, Zengshuang Li
1 links
SAE technical papers on CD-ROM/SAE technical paper series
Complex Network Analysis Techniques
article

Port Node Importance and Risk Assessment in Shipping Networks Based on An Improved PageRank Approach and Reliability Analysis

Li Ding, Cheng Cheng, Xilu Zhao, Zengshuang Li
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Since the rapid development of the shipping and port industries in the second half of the twentieth century, the introduction of container technology has transformed cargo management systems, while simultaneously increasing the vulnerability of global shipping networks to natural disasters and international conflicts. To address this challenge, the study leverages AIS data sourced from the Vessel Traffic Data website to extract ship stop trajectories and construct a shipping network. The constructed network exhibits small-world characteristics, with most port nodes having low degree values, while a few ports possess extremely high degree values. Furthermore, the study improved the PageRank algorithm to assess the importance of port nodes and introduced reliability theory and risk assessment theory to analyze the failure risks of port nodes, providing new methods and perspectives for analyzing the reliability of the shipping network.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Southeast University (BD)
Openalex Percentile: Top 97%
Complex Network Analysis Techniques
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