Abstract

Global marine crude oil trade is a direct reflection of global economic trends. This study uses the real-world historical ship automatic identification system (AIS) data from 2014 to 2017 to explore the flows of crude oil tanker trade between ports and construct a port-node global crude oil trade model. An analysis framework of “AIS data -> crude oil tanker trade flows -> port-node crude oil trade network -> port-node crude oil trade backbone network” is proposed to realize the progressive analysis of global marine crude oil trade. The global port-node crude oil trade network is a small world, in which there are multiple small world port-node trade communities. Compared with the community structure of the global port-node crude oil trade in previous years, the Middle East–Southern Africa–South Asia–Oceania–Asia Pacific community and the Southern Africa–China community have more activities in port nodes and trade links in 2017, which reflects that the Asia-Pacific region, especially East Asian countries, is making efforts to expand the Oceania and African markets and increase the diversity of crude oil import sources to ensure the security of crude oil supply and demand.

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