Affiliation:
1. Business School, Shanghai Dianji University, Shanghai, China
2. College of Transport & Communications, Shanghai Maritime University, Shanghai, China
Abstract
Based on the complex network theory, we construct a weighted network evolution model with limited point weight considering node attractiveness and shipping distance. After this the evolution simulation is carried out based on the data of 18 coastal ports mentioned in the Belt and Road Initiative, and the validity of the model is verified by comparing the net-work eigenvalues between evolving network and real network. The results show that the shipping network has the characteristics of small world and scale-free network, and the evolutionary network has shorter average path, stronger agglomeration, greater degree difference, and more frequent and efficient network connection. Based on the evolving network, the position of Lianyungang as a hub needs to be strengthened. For ports with small network values, such as Shantou, Qin-zhou and Sanya, it is necessary to expand trade between ports. Finally, we also provide strategies for improving China’s key coastal port networks from the perspective of port enterprises, shipping enterprises and government.
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference34 articles.
1. Networks in motion[J];Motter;Physics Today,2012
2. Theory and applications of complex networks: Advances and challenges[C];Lu;IEEE International Symposium on Circuits and Systems,2013
3. Collectivedynamics of ’small-world’ networks[C];Watts;Nature,1998
4. Emergence of scaling in random networks[J];Barabasi;Science,1999
5. Error and attack tolerance of complex networks[J];Albert;Nature,2001