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Hierarchical and coupling model of factors influencing vessel traffic flow

Liu, Z, Liu, J, Li, H, Li, Z, Tan, Z, Liu, RW and Liu, Yi (2017) Hierarchical and coupling model of factors influencing vessel traffic flow. PLoS One, 12 (4). ISSN 1932-6203

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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.

Item Type: Article
Uncontrolled Keywords: Science & Technology; Multidisciplinary Sciences; Science & Technology - Other Topics; AIS DATA; SIMULATION; MANAGEMENT; SYSTEM; Humans; Safety; Models, Theoretical; Transportation; Humans; Models, Theoretical; Safety; Transportation; General Science & Technology
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Engineering
Publisher: Public Library of Science
SWORD Depositor: A Symplectic
Date Deposited: 26 Sep 2022 11:25
Last Modified: 26 Sep 2022 11:30
DOI or ID number: 10.1371/journal.pone.0175840
URI: https://researchonline.ljmu.ac.uk/id/eprint/17671
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