STAFFING ANALYSIS FOR THE MAINTENANCE DEPARTMENT OF THE KANSAS DEPARTMENT OF TRANSPORTATION

This study examined variables that contribute to the workload of a local highway maintenance crew. It was determined which of these work-influencing factors correlate most closely with the work hours available to maintain Kansas highways. A computer program of multiple regression analysis revealed that work hours show a dependency on the following variables in the indicated percentages: 55 percent on two-lane kilometers, 20 percent on centimeters of precipitation, 4 percent on average annual daily traffic, 1 percent on square meters of buildings, and 20 percent on all other variables combined. The multiple regression analysis program redistributed the available labor among the 114 local subarea shops throughout the state based on the amount of each of the influencing variables present within the boundaries of each subarea. /Author/

Media Info

  • Media Type: Print
  • Features: Figures; Tables;
  • Pagination: pp 37-40
  • Monograph Title: Maintenance decision making and energy use, roadside and pavement management, and preferential bridge icing
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00193678
  • Record Type: Publication
  • Files: TRIS, TRB
  • Created Date: May 11 1979 12:00AM