Academic Journal
A multi-layer modelling approach for mining versatile ports of a global maritime transportation network
Title: | A multi-layer modelling approach for mining versatile ports of a global maritime transportation network |
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Authors: | Peng Peng, Christophe Claramunt, Shifen Cheng, Yu Yang, Feng Lu |
Source: | International Journal of Digital Earth, Vol 16, Iss 1, Pp 2129-2151 (2023) |
Publisher Information: | Taylor & Francis Group, 2023. |
Publication Year: | 2023 |
Collection: | LCC:Mathematical geography. Cartography |
Subject Terms: | versatile port, multilayer network, aggregated network, maritime transportation, vessel trajectory data, Mathematical geography. Cartography, GA1-1776 |
More Details: | International ports play critical roles in maintaining transportation flows and sustaining the effectiveness of global maritime logistics. Although the concept of versatile ports has been introduced to represent the specific patterns that these ports play at the regional and global levels, there is still a need for the design and development of computational approaches that support these notions. This paper introduces a flexible multi-layer network approach for an international maritime network whose interest is that it offers a flexible model that favours the identification of the different transportation flows and versatile ports. The model is complemented by a series of structural indices complemented by a new overlap measure that evaluates the specific role of a given port across various transportation trades. The whole approach is implemented and experimented with using massive AIS maritime data that supports the automatic generation of the multi-layer network, and derivation of the structural measures while maintaining a flexible view of the maritime network. The experiments applied to the global maritime transportation network identify key versatile ports and highlight significant differences at the regional and trade flow levels. |
Document Type: | article |
File Description: | electronic resource |
Language: | English |
ISSN: | 1753-8947 1753-8955 17538947 |
Relation: | https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955 |
DOI: | 10.1080/17538947.2023.2220614 |
Access URL: | https://doaj.org/article/37faf533f5e04bd8918194a40ed2cb9d |
Accession Number: | edsdoj.37faf533f5e04bd8918194a40ed2cb9d |
Database: | Directory of Open Access Journals |
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ISSN: | 17538947 17538955 |
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DOI: | 10.1080/17538947.2023.2220614 |
Published in: | International Journal of Digital Earth |
Language: | English |