The final, formatted version of the article will be published soon.
ORIGINAL RESEARCH article
Front. Mar. Sci.
Sec. Marine Affairs and Policy
Volume 11 - 2024 |
doi: 10.3389/fmars.2024.1410885
Spatial pattern and coupling characteristics analysis of maritime traffic and economic development based on Shipping Big Data
Provisionally accepted- 1 South China Sea Information Center of State Oceanic Administration, Guangzhou, Guangdong Province, China
- 2 Shandong University of Science and Technology, Qingdao, Shandong Province, China
The rapid development of maritime transport and the gradual increase in the number of ports, ships and shipping routes can produce direct economic benefits for regional development, and a profound grasp of the actual situation of maritime transport makes it possible to make practical plans for economic development and thus rationally develop and use marine resources. However, there is a lack of research on maritime transport, so this study is based on the AIS, waterways, routes and ports data in the near-shore sea area of Guangdong Province. Using GIS spatial analysis technology and various mathematical models, we refer to the evaluation method of road traffic dominance. It analyses and proposes the evaluation indexes of maritime traffic advantages, such as the density of maritime traffic network and the proximity of ports. Based on the actual situation of the study regions, the indicators were quantitatively evaluated and analysed. The economic development level of each region was also quantitatively evaluated using principal component analysis, and the study regions were classified based on the coupling-coordination model. The results show that the coastal area of Guangdong Province is divided into four types of zones according to the coupling-coordination type of zoning criteria. Corresponding development suggestions are put forward for different zones, and the research results provide certain practical guidelines for promoting the benign cycle development of maritime traffic and economy, and have important guiding significance and application value for the organisation and safety of maritime traffic.
Keywords: Maritime transport network density, Economic development level, Traffic Advantage Degree, coupling and coordination, AIS
Received: 02 Apr 2024; Accepted: 28 Aug 2024.
Copyright: © 2024 Wang, Wen, Ai and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Ping Wang, South China Sea Information Center of State Oceanic Administration, Guangzhou, 510310, Guangdong Province, China
Yubo Wen, South China Sea Information Center of State Oceanic Administration, Guangzhou, 510310, Guangdong Province, China
Bo Ai, Shandong University of Science and Technology, Qingdao, 266510, Shandong Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.