Norwegian University of Science and Technology, Department of Marine Technology, Trondheim, Norway.
Accid Anal Prev. 2011 Nov;43(6):2053-2063. doi: 10.1016/j.aap.2011.05.027. Epub 2011 Jun 12.
Underreporting of maritime accidents is a problem not only for authorities trying to improve maritime safety through legislation, but also to risk management companies and other entities using maritime casualty statistics in risk and accident analysis. This study collected and compared casualty data from 01.01.2005 to 31.12.2009, from IHS Fairplay and the maritime authorities from a set of nations. The data was compared to find common records, and estimation of the true number of occurred accidents was performed using conditional probability given positive dependency between data sources, several variations of the capture-recapture method, calculation of best case scenario assuming perfect reporting, and scaling up a subset of casualty information from a marine insurance statistics database. The estimated upper limit reporting performance for the selected flag states ranged from 14% to 74%, while the corresponding estimated coverage of IHS Fairplay ranges from 4% to 62%. On average the study results document that the number of unreported accidents makes up roughly 50% of all occurred accidents. Even in a best case scenario, only a few flag states come close to perfect reporting (94%). The considerable scope of underreporting uncovered in the study, indicates that users of statistical vessel accident data should assume a certain degree of underreporting, and adjust their analyses accordingly. Whether to use correction factors, a safety margin, or rely on expert judgment, should be decided on a case by case basis.
海上事故漏报不仅是当局试图通过立法改善海上安全的问题,也是风险管理公司和其他实体在风险和事故分析中使用海上伤亡统计数据的问题。本研究收集并比较了 2005 年 1 月 1 日至 2009 年 12 月 31 日期间,IHS Fairplay 和一组国家的海事当局的伤亡数据。对数据进行了比较,以查找共同记录,并使用数据源之间存在正相关关系的条件概率、捕获-再捕获方法的几种变体、假设完美报告的最佳情况假设、以及从海洋保险统计数据库中扩展伤亡信息的子集,来估计实际发生事故的数量。选定船旗国的报告性能上限估计值范围为 14%至 74%,而 IHS Fairplay 的相应覆盖范围为 4%至 62%。平均而言,研究结果表明,未报告的事故数量约占所有发生事故的 50%。即使在最佳情况下,也只有少数几个船旗国接近完美报告(94%)。研究中发现的大量漏报情况表明,统计船舶事故数据的用户应假设存在一定程度的漏报,并相应调整其分析。是否使用校正因子、安全裕度或依赖专家判断,应根据具体情况决定。