航运运价机制的动态反馈系统分析

2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) Pub Date : 2020-12-14 DOI:10.1109/IEEM45057.2020.9309785

X. Bai, M. Xu, H. Jia

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引用次数: 0

摘要

本研究旨在使用系统动力学模型调查港口拥堵如何影响航运货运市场，特别是在液化石油气(LPG)海上运输市场。在分析中，我们利用来自自动识别系统(AIS)的海事大数据进行船舶跟踪。我们的模型捕捉了在航运市场相对紧张的情况下，港口拥堵对运价波动的积极影响。该模型通过创新地考虑港口拥堵水平，为航运货运市场的发展提供了洞见。研究结果为行业从业者根据当前拥堵程度预测未来运费提供了实用指导，并为港口当局相应地规划基础设施升级提供了实用指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Dynamic Feedback System Analysis on the Mechanism of Shipping Freight

This study aims to investigate how congestions at ports affect the shipping freight market using a System Dynamics model, particularly in the liquified petroleum gas (LPG) maritime transportation market. We utilize maritime big data derived from the Automatic Identification System (AIS) for vessel tracking in the analysis. Our model captures the positive impact of port congestion, at its high level, on freight rate volatility when the shipping market is relatively in a tight condition. The proposed model provides insights into the shipping freight market development by innovatively considering port congestion level. The findings provide practical guidance for industrial practitioners to anticipate future freight rates based on the current congestion level and for port authorities to plan for infrastructure upgrades accordingly.

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2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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