Literature DB >> 12429106

A model of fishing vessel accident probability.

Di Jin1, Hauke L Kite-Powell, Eric Thunberg, Andrew R Solow, Wayne K Talley.   

Abstract

PROBLEM: Commercial fishing is one of the least safe occupations.
METHOD: The researchers develop a fishing vessel accident probability model for fishing areas off the northeastern United States using logit regression and daily data from 1981 to 1993.
RESULTS: The results indicate that fishing vessel accident probability declined over the study period. Higher wind speed is associated with greater accident probability. Medium-size vessels have the highest accident probability, while small vessels have the lowest. Within the study region, accident probability is lower in the southwestern section than in the northeastern section. Accidents are likely to occur closer to shore than offshore. Accident probability is lowest in spring. IMPACT ON INDUSTRY: The probability model is an important building block in development and quantitative assessment of management mechanisms related to safety in the commercial fishing industry.

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Mesh:

Year:  2002        PMID: 12429106     DOI: 10.1016/s0022-4375(02)00050-6

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  2 in total

1.  Predicting commercial fishing vessel disasters through a novel application of the theory of man-made disasters.

Authors:  Samantha L Case; Devin L Lucas
Journal:  J Safety Res       Date:  2020-08-09

2.  Factors associated with crewmember survival of commercial fishing vessel sinkings in Alaska.

Authors:  Devin L Lucas; Samantha L Case; Jennifer M Lincoln; Joanna R Watson
Journal:  Saf Sci       Date:  2017-09-22       Impact factor: 4.877

  2 in total

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