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Hierarchical and coupling model of factors influencing vessel traffic flow

机译:影响船舶交通流量的因素的层次和耦合模型

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摘要

Understanding the characteristics of vessel traffic flow is crucial in maintaining navigation safety, efficiency, and overall waterway transportation management. Factors influencing vessel traffic flow possess diverse features such as hierarchy, uncertainty, nonlinearity, complexity, and interdependency. To reveal the impact mechanism of the factors influencing vessel traffic flow, a hierarchical model and a coupling model are proposed in this study based on the interpretative structural modeling method. The hierarchical model explains the hierarchies and relationships of the factors using a graph. The coupling model provides a quantitative method that explores interaction effects of factors using a coupling coefficient. The coupling coefficient is obtained by determining the quantitative indicators of the factors and their weights. Thereafter, the data obtained from Port of Tianjin is used to verify the proposed coupling model. The results show that the hierarchical model of the factors influencing vessel traffic flow can explain the level, structure, and interaction effect of the factors; the coupling model is efficient in analyzing factors influencing traffic volumes. The proposed method can be used for analyzing increases in vessel traffic flow in waterway transportation system.
机译:了解船舶交通流的特征对于维持航行安全,效率和整体水路运输管理至关重要。影响船舶交通流量的因素具有多种特征,例如层次,不确定性,非线性,复杂性和相互依赖性。为了揭示影响船舶交通流量的因素的影响机理,基于解释性结构建模方法,提出了层次模型和耦合模型。层次模型使用图形解释因素的层次结构和关系。耦合模型提供了一种定量方法,可使用耦合系数探索因素的相互作用效应。通过确定因子及其权重的定量指标可以获得耦合系数。此后,将从天津港获得的数据用于验证所提出的耦合模型。结果表明,影响船舶交通流量的因素的层次模型可以解释这些因素的水平,结构和相互作用。耦合模型可以有效地分析影响交通量的因素。该方法可用于分析水路运输系统中船舶交通流量的增加。

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