A Methodology for Assessing Alternatives to Reduce Ship Collisions.

Abstract

This research analyzes the ship collision problem in and around United States ports and develops a methodology to allow cost effective assessment of alternatives to reduce ship collisions. By analytical and statistical means, a mathematical model is developed to predict ship collisions in ports and to evaluate the parameters for Pacific Coast ports. The Collision Prediction Model is based on ship factors, port factors and exposure criteria. The model provides for including the effectiveness of various collision reduction methods through the use of multiplicative factors. Examples of benefit cost analyses are presented based on Net Present Value, forecasts of the Collision Prediction Model and the effectiveness of various collision reduction methods. Sensitivity analyses are conducted to demonstrate the ability of the proposed methods to identify critical ranges for important parameters. The methods described provide decision makers with an analytical aid for making decisions. Collision trends and priorities for alleviating the ship collision problem can be established and resources allocated appropriately. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA083567

Entities

People

  • Ronald Rhys Morgan
  • Russell R. O'neill

Organizations

  • University of California, Los Angeles

Tags

DTIC Thesaurus Topics

  • Computational Science
  • Data Analysis
  • Data Science
  • Databases
  • Engineers
  • Information Processing
  • Information Science
  • Marine Transportation
  • Mathematical Filters
  • Mathematical Models
  • Navigation
  • Navigational Aids
  • Network Science
  • Operations Research
  • Plastic Explosives
  • Statistical Analysis
  • Statistical Tests

Readers

  • Aviation Safety and Air Traffic Management
  • Life Cycle Cost Analysis
  • Naval Architecture and Marine Engineering.