Investigation of occurrence likelihood of human errors in shipping operations

Jinxian Weng, Dong Yang, Tian Chai, Shanshan Fu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

Abstract

Human errors are one of the most significant contributory factors in ship accidents. This study aims to explore the quantitative relationship between the occurrence likelihood of human errors and external factors including the environmental characteristics, accident characteristics and ship characteristics. A multinomial logistic regression model has been developed to reflect the relationship between these factors and the occurrence likelihood of human errors using 14 years’ ship accident records from Fujian water areas. Model results show that the season of spring, poor visibility and night are more likely to be associated with high occurrence likelihood of negligence and judgment/operation errors. One important finding is that mooring and no strong-wind condition are two circumstances that would highly increase occurrence likelihood of all kinds of human errors. Fishing boats and engineering ships/sand dredgers are the primary ship types which have relatively higher occurrence likelihood of negligence errors than other ship types.

Original languageEnglish
Pages (from-to)28-37
Number of pages10
JournalOcean Engineering
Volume182
DOIs
Publication statusPublished - 15 Jun 2019

Keywords

  • Accident risk
  • Human errors
  • Shipping accidents
  • Shipping operation

ASJC Scopus subject areas

  • Environmental Engineering
  • Ocean Engineering

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