Measuring the effect of distance on the network topology of the Global Container Shipping Network

被引:27
作者
Tsiotas, Dimitrios [1 ]
Ducruet, Cesar [2 ]
机构
[1] Agr Univ Athens, Dept Reg & Econ Dev, Nea Poli 33100, Amfissa, Greece
[2] French Natl Ctr Sci Res CNRS, UMR 7235, EconomiX, Nanterre, France
关键词
COMPLEX NETWORK; MARITIME TRANSPORTATION; SPATIAL STRUCTURE; PORT; CENTRALITY; EMERGENCE; DYNAMICS; SCIENCE; CITIES; FLOWS;
D O I
10.1038/s41598-021-00387-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This paper examines how spatial distance affects network topology on empirical data concerning the Global Container Shipping Network (GCSN). The GCSN decomposes into 32 multiplex layers, defined at several spatial levels, by successively removing connections of smaller distances. This multilayer decomposition approach allows studying the topological properties of each layer as a function of distance. The analysis provides insights into the hierarchical structure and (importing and exporting) trade functionality of the GCSN, hub connectivity, several topological aspects, and the distinct role of China in the network's structure. It also shows that bidirectional links decrease with distance, highlighting the importance of asymmetric functionality in carriers' operations. It further configures six novel clusters of ports concerning their spatial coverage. Finally, it reveals three levels of geographical scale in the structure of GCSN (where the network topology significantly changes): the neighborhood (local connectivity); the scale of international connectivity (mesoscale or middle connectivity); and the intercontinental market (large scale connectivity). The overall approach provides a methodological framework for analyzing network topology as a function of distance, highlights the spatial dimension in complex and multilayer networks, and provides insights into the spatial structure of the GCSN, which is the most important market of the global maritime economy.
引用
收藏
页数:16
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