Research on Oil Transportation Network of Maritime Silk Road Based on Big Data

Research on Oil Transportation Network of Maritime Silk Road Based on Big Data

Big data

Complex networks

Petroleum transportation

Roads and streets

With the increasing demand for oil in various countries, the study of the spatial pattern of maritime oil transportation become the new focus. Based on the AIS trajectory data of 2014, this paper constructs the oil transportation network of the MSR and analyzes the topological structure and spatial pattern of the oil transportation network of the MSR by applying the complex network theory. The study finds: The oil transportation network of the MSR exhibits the characteristics of the small-world and scale-free as a whole

The space difference of degree and degree distribution is large, and the network centrality shows a trend of decreasing scale and stratification

In the oil transport network, the ports who have the three largest centralities are all the Jurong Port, which has the highest overall centrality and is in the absolute core position

The top 10 ports of the three centralities are basically similar, with only a slight difference in the position order. Most of them are distributed in ASEAN, West Asia and Western Europe, which have strong maritime transportation strength, larger maritime transportation radiation range and superior geographical location. 2020 IEEE.

58-62

Wang, Zhipeng

Mou, Naixia

Sun, Shuyue

Song, Qingguo

2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, ICBAIE 2020, June 12, 2020 - June 14, 2020

2020

conferencePaper

10.1109/ICBAIE49996.2020.00019

http://dx.doi.org/10.1109/ICBAIE49996.2020.00019