MODELS FOR PREDICTING SNOW-REMOVAL COSTS AND CHEMICAL USAGE

ONE OF THE OBJECTIVES OF A MAINTENANCE COST STUDY BY THE OHIO DEPARTMENT OF HIGHWAYS IS THE DETERMINATION OF THE MAJOR FACTORS THAT INFLUENCE MAINTENANCE COSTS. SEVERAL MODELS DEVELOPED BY MULTIPLE-REGRESSION ANALYSIS TO PREDICT COST PER LANE-MILE FOR SNOW AND ICE REMOVAL ON OHIO HIGHWAYS ARE DESCRIBED. THE MODELS INDICATE THAT THE 2 MOST SIGNIFICANT INDEPENDENT VARIABLES AFFECTING COST PER LANE- MILE FOR SNOW AND ICE REMOVAL ARE INCHES OF SNOWFALL AND AVERAGE DAILY TRAFFIC. THE MODELS HAVE BEEN USED TO BUDGET SNOW- AND ICE-REMOVAL FUNDS BY APPLYING 30-YEAR WEATHER DATA AND CURRENT ADT TO COMPUTE ANTICIPATED COSTS. /AUTHOR/

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 267-278
  • Monograph Title: Snow removal and ice control research
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00218678
  • Record Type: Publication
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 8 1971 12:00AM