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.
Black Spot Identification and Hot spot Analysis of Ship Traffic Accidents in Zhoushan Waters
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 ob-ject,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 poten-tial high-risk areas combining with latitude,longitude,and accident severity information,thereby to provide scientific basis for regional maritime safety management and accident pre-vention.
Zhoushan watersaccident black spotsDBSCANhot analysis
万方数据
维普
