摘要
随着我国港口吞吐量日益增长,沿海水域交通变得繁忙且船舶事故时有发生。以舟山水域作为研究对象,利用热力图、DBSCAN聚类算法及Getis-Ord General G分析方法对舟山船舶事故数据进行综合分析,识别水域交通事故黑点,提供事故的空间分布,并结合经纬度和事故严重程度信息揭示了潜在的高风险区域,从而为地区海事安全管理与事故预防提供科学依据。
With the increase of ports throughput in China,coastal water traffic has become busy and ship accidents occur frequently.Taking the Zhoushan Water area as research object,heat map,DBSCAN clustering algorithm and Getis-Ord General G analysis method are used to comprehensively analyze the data of ship accidents in Zhoushan,identify black spots of water traffic accidents,provide spatial distribution of accidents,and reveal potential high-risk areas combining with latitude,longitude,and accident severity information,thereby to provide scientific basis for regional maritime safety management and accident prevention.
作者
李子强
郭世龙
万程鹏
LI Zi-qiang;GUO Shi-long;WAN Cheng-peng(Zhejiang International Maritime College,Zhoushan 316021,China;Wuhan University of Technology,Wuhan 430063,China)
出处
《武汉船舶职业技术学院学报》
2024年第5期92-96,102,共6页
Journal of Wuhan Institute of Shipbuilding Technology
基金
舟山市科技局“舟山水域交通事故黑点辨识及安全决策支持研究”(项目编号:2023C31059)
舟山市社会科学研究规划课题“舟山水域船舶交通事故致因分析与防治对策研究”(课题编号:202435)。
