船舶自动识别系统数据在港口地理学研究中的应用与展望

In this paper, the relevant literature on the application of AIS data in the field of port geography in six academic journals, including comprehensive, geographical (humanities), transportation research (non-engineering), maritime research (non-engineering), oceanography under the engineering category (related to human geography themes), and Chinese human geography was sorted out. Research found that AIS data was currently mainly used in domestic and international port geography research to characterize international trade flows, evaluate port connectivity, refine the interaction between port and city relationships, and capture external impact effects. The depth of research topics in port geography has been improved through the application of AIS data: the research dimensions were more diverse, expanding from summarizing historical spatiotemporal patterns to predicting future trends; the research subjects were more diverse, ranging from individual sizes of ship locations to global flows. The application of AIS data can incorporate the global scale fishing port network into the scope of port geography research, which has not been fully discussed in traditional port geography. In addition, AIS data links ocean carbon emissions with ports and shipping routes, by combining ecological and environmental science perspectives to expand the breadth of port geography research. In combination with data characteristics, the three major application prospects of AIS data in port geography research in the future were proposed: research on major social issues related to global maritime based on AIS global coverage and flexible scaling characteristics of research scale, research on refined governance of port cities based on fine Granularity characteristics, and research on conclusion testing and scientific prediction based on spatio-temporal dynamics and marine characteristics.