使用细粒度船舶轨迹数据对各国滚动/滚动航运网络的交易社区分析
Shichen Huang1, Tengda Sun1, Jing Shi1
1China Transport Telecommunications and Information Center, Beijing 100011, China.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
全球滚动/滚动 (RO/RO) 航运网络在疫情后大幅扩张,显示出复杂性和重组的增加. 关键的航运社区现在主导着全球航线,表明网络成熟.
科学领域:
- 海上物流的海上物流
- 复杂网络理论 复杂网络理论
- 运输科学 运输科学
背景情况:
- 滚动/滚动 (RO/RO) 船舶对于国际车辆和机械运输至关重要.
- 关于RO/RO航运网络的结构和全球贸易影响的研究有限.
- 了解RO/RO网络对于优化全球物流至关重要.
研究的目的:
- 分析2020-2023年全球RO/RO航运网络的特点.
- 量化评估网络的复杂性,稀疏性,同质性,模块化和层次结构.
- 通过先进的网络分析来确定关键港口集群和区域运输模式.
主要方法:
- 用于RO/RO船舶 (2020-2023) 的自动识别系统 (AIS) 数据.
- 应用复杂网络理论和图形特征提取用于定量评估.
- 使用图形卷积神经网络 (GCN) 进行社区检测和特征提取.
主要成果:
- RO/RO网络增长了22% (节点),集中在非洲,总体参数在流行后增加.
- 网络密度保持稳定 (0.106),平均程度上升 (4.224),模块化性下降,层次结构增加 (0.575).
- GCN模型在特征提取方面表现出有效性 (轮:0.548,戴维斯-博尔丁:0.559),识别出不同的全球航运社区.
结论:
- 轮回/轮回航运网络正在经历重建和成熟,由日益复杂和不断变化的社区结构证明.
- 疫情后,网络显示了更多多样化的社区路线,主要社区主导全球贸易流 (例如,欧洲-亚洲).
- 该研究为分析海上网络和理解全球贸易动态提供了强有力的框架.
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