A MULTIPLE DISCRIMINANT ANALYSIS OF VESSEL ACCIDENTS

A large sample of 936 vessel accident cases occurring between 1979 and 1987 on the lower Mississippi River were cluster analyzed to generate four groups relatively unique in their respective attribute values. The attributes used to cluster the accidents included participation in the U.S. Coast Guard's New Orleans Vessel Traffic Service (NOLA-VTS), type of accident, river stage, traffic level, system utilization, accident location, weather conditions, and time of accident. The four group cluster solution resulted in logical groupings, given the realities of navigating the lower Mississippi River. Significant marginal participation rates for the marine technology across the four accident clusters effectively distinguishes between casualty groups. In the subsequent discriminant analysis, three discriminant functions correctly classified 96% of the total accidents. The variables contributing most to overall group differentiation were participation in the system, overall system utilization, river stage, traffic level, time and location of accidents. The three discriminant functions were statistically significant, with each individual function accounting for a large relative percentage of the variance between the groups.

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  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • LeBlanc, L A
    • Rucks, C T
  • Publication Date: 1996-7

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00726203
  • Record Type: Publication
  • Report/Paper Numbers: HS-042 373
  • Files: TRIS
  • Created Date: Sep 18 1996 12:00AM