Maritime convection and fluctuation between Vietnam and China : A data-driven study

Journal article

Hu, Zhi-Hua, Liu, Chan-Juan, Chen, Wanting, Wang, You-Gan and Wei, Chen. (2020). Maritime convection and fluctuation between Vietnam and China : A data-driven study. Research in Transportation Business and Management. 34, pp. 1-15. https://doi.org/10.1016/j.rtbm.2019.100414
AuthorsHu, Zhi-Hua, Liu, Chan-Juan, Chen, Wanting, Wang, You-Gan and Wei, Chen
Abstract

A network is usually embedded in a larger network and interacts with other networks simultaneously, while the networks in network science literature are generally examined independently. The trade values can generally reflect periodical (annual or monthly) flows of cargo types and values between two economies, while the geographical and transportation details cannot be embodied although they are important for national logistics and supply chains. We investigate the vessel flows between two national maritime networks activated by possible implications to trade and shipping investments. The maritime network of flows between China and Vietnam is figured as a typical example under the consideration that the two countries are both typical maritime countries and the development of China is slowing down while Vietnam's economy and trade are booming. Using five years' mutual connectivity data between Vietnam and China, the flow directions and amounts are estimated and examined by network and flow analyzing methods. Maritime convection is introduced to investigate the changing cargo flows that represents supply chains between the two countries. Maritime fluctuation is used to study the strength and tendencies of seaborne trade between the two countries. These two aspects are visualized and conceptualized in the context of China's Belt and Road Initiative. New maritime interconnection facilities and opportunities are then discussed based on the results from this analysis. All methods for developing the networks and metrics of convection and fluctuation are incorporated into a system framework. So, the proposed method can be used for general network relation analysis, especially when the networks are connected by flows.

KeywordsNetwork analysis; Belt and road initiative; International logistics; Big data; Ports and shipping
Year01 Jan 2020
JournalResearch in Transportation Business and Management
Journal citation34, pp. 1-15
PublisherElsevier
ISSN2210-5395
Digital Object Identifier (DOI)https://doi.org/10.1016/j.rtbm.2019.100414
Web address (URL)https://www.sciencedirect.com/science/article/pii/S2210539519300811
Open accessPublished as non-open access
Research or scholarlyResearch
Page range1-15
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All rights reserved
File Access Level
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Output statusPublished
Publication dates
Print15 Jun 2020
Publication process dates
Accepted03 Dec 2019
Deposited11 Jan 2023
Additional information

© 2019 Elsevier Ltd. All rights reserved.

Place of publicationUnited Kingdom
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