Black Spot Identification and Hot spot Analysis of Ship Traffic Accidents in Zhoushan Waters
李子强 1郭世龙 2万程鹏2
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作者信息
1. 浙江国际海运职业技术学院,浙江舟山 316021
2. 武汉理工大学,湖北武汉 430063
折叠
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.
Abstract
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.
关键词
舟山水域/事故黑点/DBSCAN/热点分析
Key words
Zhoushan waters/accident black spots/DBSCAN/hot analysis
维普
万方数据