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Massive Automatic Identification System Sensor Trajectory Data-Based Multi-Layer Linkage Network Dynamics of Maritime Transport along 21st-Century Maritime Silk Road

文献类型：期刊论文

作者Yu, Hongchu1,3; Fang, Zhixiang1,4; Lu, Feng2; Murray, Alan T.3; Zhao, Zhiyuan5; Xu, Yang6; Yang, Xiping7
刊名SENSORS
出版日期2019-10-01
卷号19期号:19页码:19
关键词maritime network multi-layer dynamics traffic flow
DOI10.3390/s19194197
通讯作者Fang, Zhixiang(zxfang@whu.edu.cn)
英文摘要Automatic Identification System (AIS) data could support ship movement analysis, and maritime network construction and dynamic analysis. This study examines the global maritime network dynamics from multi-layers (bulk, container, and tanker) and multidimensional (e.g., point, link, and network) structure perspectives. A spatial-temporal framework is introduced to construct and analyze the global maritime transportation network dynamics by means of big trajectory data. Transport capacity and stability are exploited to infer spatial-temporal dynamics of system nodes and links. Maritime network structure changes and traffic flow dynamics grouping are then possible to extract. This enables the global maritime network between 2013 and 2016 to be investigated, and the differences between the countries along the 21st-century Maritime Silk Road and other countries, as well as the differences between before and after included by 21st-century Maritime Silk Road to be revealed. Study results indicate that certain countries, such as China, Singapore, Republic of Korea, Australia, and United Arab Emirates, build new corresponding shipping relationships with some ports of countries along the Silk Road and these new linkages carry significant traffic flow. The shipping dynamics exhibit interesting geographical and spatial variations. This study is meaningful to policy formulation, such as cooperation and reorientation among international ports, evaluating the adaptability of a changing traffic flow and navigation environment, and integration of the maritime economy and transportation systems.
WOS关键词VULNERABILITY ; IMPACT ; FLOWS
资助项目National Key Research and Development Program of China[2017YFC1405302] ; Key Project of the Chinese Academy of Sciences[ZDRW-ZS-2016-6-3] ; National Natural Science Foundation of China[41771473] ; LIESMARS Special Research Fund
WOS研究方向Chemistry ; Engineering ; Instruments & Instrumentation
语种英语
WOS记录号WOS:000494823200141
出版者MDPI
资助机构National Key Research and Development Program of China ; Key Project of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; LIESMARS Special Research Fund
源URL[http://ir.igsnrr.ac.cn/handle/311030/131742]  
专题中国科学院地理科学与资源研究所
通讯作者Fang, Zhixiang
作者单位1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Univ Calif Santa Barbara, Dept Geog, Santa Barbara, CA 93106 USA
4.Minist Educ China, Engn Res Ctr Spatiotemporal Data Smart Acquisit &, Wuhan 430079, Hubei, Peoples R China
5.Fuzhou Univ, Natl & Local Joint Engn Res Ctr Geospatial Inform, Fuzhou 350002, Fujian, Peoples R China
6.Hong Kong Polytechn Univ, Dept Land Surveying & Geoinformat, Hung Hom, Kowloon, Hong Kong, Peoples R China
7.Shaanxi Normal Univ, Sch Geog & Tourism, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
GB/T 7714		 Yu, Hongchu,Fang, Zhixiang,Lu, Feng,et al. Massive Automatic Identification System Sensor Trajectory Data-Based Multi-Layer Linkage Network Dynamics of Maritime Transport along 21st-Century Maritime Silk Road[J]. SENSORS,2019,19(19):19.
APA Yu, Hongchu.,Fang, Zhixiang.,Lu, Feng.,Murray, Alan T..,Zhao, Zhiyuan.,...&Yang, Xiping.(2019).Massive Automatic Identification System Sensor Trajectory Data-Based Multi-Layer Linkage Network Dynamics of Maritime Transport along 21st-Century Maritime Silk Road.SENSORS,19(19),19.
MLA Yu, Hongchu,et al."Massive Automatic Identification System Sensor Trajectory Data-Based Multi-Layer Linkage Network Dynamics of Maritime Transport along 21st-Century Maritime Silk Road".SENSORS 19.19(2019):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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