Statistical analysis of vessel loss of command frequency

IF 3.9 Q2 TRANSPORTATION Maritime Transport Research Pub Date : 2024-02-28 DOI:10.1016/j.martra.2024.100104
Spencer August Dugan, Ingrid Bouwer Utne
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Abstract

Vessel losses of command (e.g., propulsion, electrical power, or steering failure) can serve as the initiating event for significant maritime accidents, such as grounding. It is therefore important to estimate the frequency of such events for navigational risk assessments. Despite the existence of previous studies, new data have become available that may reveal more precise and useful information for risk estimations and accident prevention. This paper analyzes two databases of vessel losses of command within Norway’s economic exclusive area over a five year period. The study utilizes a novel database of incidents observed by the Norwegian Coastal Administration’s (NCA) Vessel Traffic Services (VTS), in addition to incidents reported to IHS Markit over the same five year period. Automatic identification system (AIS) data is used to construct activity metrics of vessel activity, which are used to compute vessel loss of command incidence rates for ship types. To account for under-reporting, capture–recapture methods are used to calculate adjusted incidence-rates. The duration of each incident is recorded and used to construct distributions of repair times. Probabilities of towing and anchoring are computed for ship types and incident location. The results indicate that previous studies may have underestimated the incidence of vessel loss of command. Using the best-case scenario, cargo ships and tankers suffer losses of command more frequently than other ship types. Significant under-reporting of losses of command was observed in the IHS Markit database.

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船只失去指挥频率的统计分析
船舶失去指挥(如推进、电力或转向故障)可能成为搁浅等重大海上事故的导火索。因此,估算此类事件的发生频率对于航行风险评估非常重要。尽管之前已有相关研究,但新数据的出现可能会为风险评估和事故预防提供更精确、更有用的信息。本文分析了挪威经济专属区内五年内船舶失去指挥的两个数据库。研究利用了挪威海岸管理局(NCA)船舶交通服务(VTS)观察到的事故的新型数据库,以及在同一五年期间向IHS Markit报告的事故。自动识别系统(AIS)数据被用于构建船舶活动的活动指标,这些指标被用于计算船舶类型的失控率。为考虑报告不足的情况,采用捕获-再捕获方法计算调整后的发生率。每次事故的持续时间都会被记录下来,并用于构建维修时间的分布。根据船舶类型和事故地点计算拖曳和锚泊的概率。结果表明,以前的研究可能低估了船舶失去指挥的发生率。在最好的情况下,货轮和油轮比其他类型的船舶更容易失去指挥权。在 IHS Markit 数据库中发现,对指挥权丧失的报告严重不足。
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