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

张圣, 王列辉

doi:10.16411/j.cnki.issn1006-7736.2023.03.007

大连海事大学学报 >

2023 , Vol. 49 >Issue 3: 61 - 73

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2023.03.007

交通运输工程

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

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（华东师范大学 a.未来城市实验室；b.中国行政区划研究中心；c. 全球创新与发展研究院，上海 200062）

张圣（1994 — ），男，博士生，研究方向：交通地理学。王列辉*（1978 — ），男，博士，教授, 博士生导师, 研究方向：交通地理学、城市地理学、历史地理学。E-mail：lhwang@re.ecnu.edu.cn。

收稿日期: 2023-04-12

修回日期: 2023-05-20

录用日期: 2023-05-20

网络出版日期: 2023-06-01

基金资助

国家社会科学基金重大项目(20&ZD070); 国家自然科学基金资助项目(41971155；42371178); 中央高校基本科研业务费项目华东师范大学人文社会科学青年跨学科学术创新团队项目(2022QKT002)和新文科创新平台(2022ECNU-XWK-XK001)

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Application and prospects of automatic identification system data in port geography research

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（a. Future City Lab; b. Research Center for China Administrative Division, Shanghai 200241, China; c.Institute for Global Innovation and Development, Shanghai 200062, China, East China Normal University)

Received date: 2023-04-12

Revised date: 2023-05-20

Accepted date: 2023-05-20

Online published: 2023-06-01

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摘要

梳理综合类期刊、地理类（人文）、交通研究类（非工程类）、海事研究类（非工程类）、工程大类下海洋学（与人文地理主题相关）和中文人文地理类等六类学术期刊中AIS数据在港口地理学领域应用的相关文献，研究发现，目前AIS数据在国内外港口地理学研究中主要用于表征国际贸易流动、评价港口连通性、细化港城关系互动研究、捕捉外部冲击影响等。港口地理学研究主题的内容深度在AIS数据的应用下获得提升：研究维度更加多元，从历史时空规律总结扩展至未来趋势预测；研究主体更加丰富，个体小至船舶点位大至全球流动均可作为研究对象。AIS数据的运用可以将全球尺度下的渔业捕捞港口网络纳入港口地理学研究范畴，而这一议题在传统港口地理学中尚未得到充分讨论。此外，AIS数据将海洋上碳排放与港口和航线联系起来，结合生态学和环境科学的观点，拓展了港口地理学研究广度。结合数据特性，提出未来AIS数据在港口地理学研究中的三大应用展望：基于AIS全球覆盖且研究尺度灵活缩放特征的全球海事相关社会重大问题研究、基于细颗粒度特征的港口城市精细化治理研究和基于时空动态性和海洋特性的结论检验和科学预测研究。

关键词： AIS数据; 港口地理学; 应用与展望

本文引用格式

张圣, 王列辉 . 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[J]. 大连海事大学学报, 2023 , 49(3) : 61 -73 . DOI: 10.16411/j.cnki.issn1006-7736.2023.03.007

Abstract

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.

Key words： AIS data; port geography; application and prospects

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