The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review

IF 8.6 Q1 REMOTE SENSING International journal of applied earth observation and geoinformation : ITC journal Pub Date : 2025-03-03 DOI:10.1016/j.jag.2025.104444

Xiao Zhou , Zhou Huang , Tian Xia , Xinmin Zhang , Zhixin Duan , Jie Wu , Guoqing Zhou

{"title":"The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review","authors":"Xiao Zhou , Zhou Huang , Tian Xia , Xinmin Zhang , Zhixin Duan , Jie Wu , Guoqing Zhou","doi":"10.1016/j.jag.2025.104444","DOIUrl":null,"url":null,"abstract":"<div><div>Maritime transportation plays a pivotal role in global trade, making maritime transportation safety a longstanding priority within the maritime industry. With the growing emphasis on big data and geospatial analysis in maritime safety management, this study presents a comprehensive review of 425 academic publications on the topic from 2004 to 2023. First, publication trends, influential journals, and leading institutions in the field are revealed. Then, commonly used maritime big data and geospatial analysis methods are analyzed. Subsequently, based on a thorough and systematic content analysis, the research is categorized into five clusters: spatiotemporal analysis of marine accidents, navigation risk assessment, location of emergency facilities, allocation of emergency resources, and emergency response capability assessment. Finally, four future research directions are proposed to advance maritime transportation safety research.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"138 ","pages":"Article 104444"},"PeriodicalIF":8.6000,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1569843225000913","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}

引用次数: 0

Abstract

Maritime transportation plays a pivotal role in global trade, making maritime transportation safety a longstanding priority within the maritime industry. With the growing emphasis on big data and geospatial analysis in maritime safety management, this study presents a comprehensive review of 425 academic publications on the topic from 2004 to 2023. First, publication trends, influential journals, and leading institutions in the field are revealed. Then, commonly used maritime big data and geospatial analysis methods are analyzed. Subsequently, based on a thorough and systematic content analysis, the research is categorized into five clusters: spatiotemporal analysis of marine accidents, navigation risk assessment, location of emergency facilities, allocation of emergency resources, and emergency response capability assessment. Finally, four future research directions are proposed to advance maritime transportation safety research.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

大数据与地理空间分析在海上运输安全管理中的综合应用综述

海上运输在全球贸易中起着举足轻重的作用，使海上运输安全成为海运业长期以来的优先事项。随着海上安全管理越来越重视大数据和地理空间分析，本研究对2004年至2023年期间有关该主题的425篇学术论文进行了全面回顾。首先，揭示了该领域的出版趋势、有影响力的期刊和领先机构。然后，对常用的海事大数据和地理空间分析方法进行了分析。随后，在深入系统的内容分析基础上，将研究分为海上事故时空分析、航行风险评估、应急设施选址、应急资源配置和应急响应能力评估五大类。最后，提出了未来海上运输安全研究的四个方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences

CiteScore

12.00

自引率

0.00%

发文量

审稿时长

77 days

期刊介绍： The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.