Multiple regression analysis was used to develop predictive equations for the estimation of operating costs associated with the provision of class 2 railroad service. Annual report data for 102 carriers was the basis for the construction of five equations, each of which pertained to estimation of a specific type of operating cost. Categories included were maintenance of way, maintenance of equipment, traffic, transportation, and general. Five specific predictor variables were included in the analyses; carrier geographic location, ownership, main trackage, traffic volume, and one other depending on the particular type of cost being estimated. In addition, an equation was developed for the prediction of the sum in dollars of the individual costs. All equations appeared to be correctly specified, and each exhibited an acceptable explanatory ability. The research findings from this study should provide significant insight into the expected magnitudes of the costs of operating a light-density line independent of class 1 ownership. The results will be specific interest to states involved in developing and updating their state rail plans. Areas of primary application include branch-line economic viability analyses and efforts to rank branch lines in order to determine the best candidates for federal or state assistance or both.

Media Info

  • Media Type: Print
  • Features: Figures; Maps; References; Tables;
  • Pagination: pp 11-18
  • Monograph Title: Surface transport regulation and railroad planning
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00196872
  • Record Type: Publication
  • ISBN: 0309028329
  • Files: TRIS, TRB
  • Created Date: Aug 28 1979 12:00AM