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Sustainability 2017, 9(10), 1913; doi:10.3390/su9101913

Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data

1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Luoyu Road 129, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China
3
Department of Geography at the University of Tennessee, 304 Burchfiel Geography Building Knoxville, Knoxville, TN 37996-0925, USA
*
Author to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 28 September 2017 / Accepted: 19 October 2017 / Published: 23 October 2017
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Abstract

Marine economic cooperation has emerged as a major theme in this era of globalization; hence, maritime network connectivity and dynamics have attracted more and more attention. Port construction and maritime route improvements increase maritime trade and thus facilitate economic viability and resource sustainability. This paper reveals the regional dimension of inter-port linkage dynamic structure of Chinese maritime ports from a complex multilayer perspective that is meaningful for strategic forecasting and regional long-term economic development planning. In this research, Automatic Information System (AIS)-derived traffic flows were used to construct a maritime network and subnetworks based on the geographical locations of ports. The linkage intensity between subnetworks, the linkage tightness within subnetworks, the spatial isolation between high-intensity backbones and tight skeleton networks, and a linkage concentration index for each port were calculated. The ports, in turn, were analyzed based on these network attributes. This study analyzed the external competitiveness and internal cohesion of each subnetwork. The results revealed problems in port management and planning, such as unclear divisions in port operations. More critically, weak complementary relationships between the backbone and skeleton networks among the ports reduce connectivity and must be strengthened. This research contributes to the body of work supporting strategic decision-making for future development. View Full-Text
Keywords: maritime network; network dynamic structure; Automatic Information System; linkage intensity; linkage tightness; spatial isolation; concentration index maritime network; network dynamic structure; Automatic Information System; linkage intensity; linkage tightness; spatial isolation; concentration index
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Yu, H.; Fang, Z.; Peng, G.; Feng, M. Revealing the Linkage Network Dynamic Structures of Chinese Maritime Ports through Automatic Information System Data. Sustainability 2017, 9, 1913.

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