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

IF 7.6 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

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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.

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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.