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《Journal of Geo-Information Science》 2018-05
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Review of Research Works on Maritime Network

FANG Zhixiang;YU Hongchu;HUANG Shouqian;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University;Engineering Research Center for Spatiotemporal Data Smart Acquisition and Application, Ministry of Education of China;  
With the rapid development of economic globalization, the scale of international trade has continued to be expanded. Global maritime network are attracting much attention from researchers in multidisciplinary areas, such as ocean transportation, geographical information science, mathematical physics, statistics science,complex network science, big data science, computer science and so on. The maritime network studies become hot research topics among them, which plays an important role in designing affective and sustainable macro strategies and policies for countries. This paper summarizes the data sources, theoretical models and research methods in maritime network studies, for example, the used data includes the statistics data and Automatic Identification System(AIS)traced vessel trajectory data, the used methods are from mathematics, physics and statistical theory methods, complex network science, data mining theory, etc. Then, this paper reviewed the research works of maritime network from the perspectives of maritime network transportation mode, network structure characteristics, and evolution mechanism of maritime network, and concluded the existing problems in these perspectives. Previous studies on maritime transportation mode design and optimization are useful to improve shipping service quality, assess the feasibility of new routes and improve the efficiency and capacity of the transportation system. The researches for maritime network structure reveal the static(i.e. network connectivity, clustering coefficient, mean shortest path lengths, closeness centrality, betweeness centrality, and straightness centrality)and dynamic characteristics(i.e. spatial-temporal changes, hierarchical characteristics,dynamic connectivity)through the approaches of modelling, statistical and empirical analyzing. The studies on evolution mechanism for maritime network focus on the structure evolution and traffic flow evolution, which are helpful to identify the influential factors and to predict traffic flow in the maritime network. The future promising research avenues on maritime network include involving experts from multidisciplinary areas, using the research methods from cross-domains, integrating multi-source heterogeneous data, and linking the theoretical analysis with practical application problems.
【Fund】: 中国科学院重点项目(ZDRW-ZS-2016-6-3);; 国家自然科学基金项目(41771473);; 国家重点研发计划项目(2017YFC1405302);; 测绘遥感信息工程国家重点实验室专项科研经费资助~~
【CateGory Index】: F551
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【Citations】
Chinese Journal Full-text Database 10 Hits
1 FANG Zhixiang;YU Hongchu;LU Feng;FENG Mingxiang;HUANG Meng;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University;Collaborative Innovation Center of Geospatial Technology;State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS;;Maritime network dynamics before and after international events[J];Journal of Geographical Sciences;2018-07
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LI Zhenfu;LIU Shiyan;XU Mengqiao;College of Transportation Engineering,Dalian Maritime University;Faculty of Management and Economics,Dalian University of Technology;;Structural Vulnerability of Chinese Inland Waterway Container Shipping Network[J];地域研究与开发;2018-03
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6 FANG Zhixiang;YU Hongchu;HUANG Shouqian;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University;Engineering Research Center for Spatiotemporal Data Smart Acquisition and Application, Ministry of Education of China;;Review of Research Works on Maritime Network[J];地球信息科学学报;2018-05
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