Statistical Modeling of Railroad Safety Performance.

Abstract

In recent years the Department of Transportation and the Association of American Railroads have become concerned over the safety performance of this nation's railroads. Recent statistics showed that the frequency of accidents was alarmingly high. Acting on this concern, the D.O.T. asked the Ballistic Research Laboratory to determine how railroads could be made safer. One approach to this problem would be to develop a mathematical model which would allow a railroad's safety to be expressed as a function of safety program characteristics. In this manner, guidelines for spending which could improve a railroad's safety record would be established. Several statistical techniques, including Cluster analysis, Discriminant Analysis, and Multiple Linear Regression, were employed in the development of this mathematical model. The model is a good predictor for the years 1976-1979, and should assist railroads in developing guidelines for spending which should improve their safety performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA134737

Entities

People

  • B. A. Bodt
  • James P. Thomas

Organizations

  • Ballistic Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Accidents
  • Data Analysis
  • Data Science
  • Data Sets
  • Databases
  • Discriminant Analysis
  • Information Science
  • Mathematical Models
  • Multivariate Analysis
  • Railroads
  • Regression Analysis
  • Safety
  • Safety Equipment
  • Statistical Analysis
  • Statistics
  • Surveys
  • Transportation

Readers

  • Aviation Safety and Air Traffic Management
  • Computer Vision.
  • Government and Public Administration Law.