A PROCEDURE TO PREDICT MAINTENANCE COSTS FOR HIGHWAY SYSTEMS

HIGHWAY SYSTEMS ARE BECOMING THE MOST IMPORTANT PART OF THE CAPITAL INVESTMENT OF EACH STATE, AND IN THE PAST THREE DECADES THE COSTS OF MAINTAINING THESE SYSTEMS HAVE TRIPLED. SOME STATISTICAL METHOD OF PREDICTING THE TOTAL MAINTENANCE COST OF A ROADWAY SYSTEM IS NECESSARY. THE PURPOSE OF THIS RESEARCH WAS TO DEVELOP A PROCEDURE TO PREDICT AND TO EVALUATE THE MANY CHARACTERISTICS INVOLVED IN THE TOTAL MAINENANCE COSTS FOR CONCRETE ROADWAYS IN SOUTH LOUISIANA. AN ORIGINAL STUDY CONDUCTED ON PURELY HISTORICAL DATA REVEALED THAT THE FIVE MAIN-EFFECT VARIABLES WHICH ACCOUNT FOR MOST OF THE VARIATION IN MAINTENANCE COSTS ARE SURFACE WIDTH, RIGHT-OF-WAY WIDTH, TRAFFIC VOLUME, SUBSOIL CONDITION, AND SURFACE CONDITION. THE TECHNIQUE USED TO ARRIVE AT A PREDICTOR MODEL WAS THE WEIGHTED REGRESSION ANALYSIS PROGRAM, WHICH PERFORMS THE REGRESSION FOR ALL VARIABLES AND THEN ELIMINATES VARIABLES, ONE AT A TIME, IN DESCENDING ORDER OF SIGNIFICANCE. /AUTHOR/

  • Supplemental Notes:
    • No 85, 57 P
  • Corporate Authors:

    N/A

    ,   USA 
  • Authors:
    • Mann, L
  • Publication Date: 1965

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Filing Info

  • Accession Number: 00201752
  • Record Type: Publication
  • Source Agency: Traffic Systems Reviews & Abstracts
  • Files: TRIS
  • Created Date: Jul 14 2003 12:00AM