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/

• Record URL:
  • https://onlinepubs.trb.org/Onlinepubs/sr/sr115/115-026.pdf
• Corporate Authors:

  Highway Research Board (HRB)

  Washington, DC   
• Authors:
  • Miller, Edward L
• Discussers:
  • Sauerlender, Owen
  • Schaerer, P A
  • Byrd, L Gary
• Conference:
  • Symposium on Snow Removal and Ice Control Research
  • Location: Dartmouth New Hampshire, United States
  • Date: 1970-4-8 to 1970-4-10
• Publication Date: 1970

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 267-278
• Monograph Title: Snow removal and ice control research
• Serial:
  • Highway Research Board Special Report
  • Issue Number: 115
  • Publisher: Highway Research Board

Subject/Index Terms

• TRT Terms: Average daily traffic; Chemicals; Costs; Forecasting; Maintenance management; Mathematical models; Regression analysis; Snow and ice control; Snow removal; Traffic lanes; Weather
• Uncontrolled Terms: Maintenance costs; Models
• Old TRIS Terms: Lanes
• Subject Areas: Data and Information Technology; Finance; Highways; Maintenance and Preservation;

Filing Info

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