ESTIMATING PAVEMENT CONDITION AND REHABILITATION COSTS USING STATISTICAL SAMPLING TECHNIQUES

The Texas Department of Highways and Public Transportation (SDHPT) is currently collecting large volumes of data with its Pavement Evaluation System. It is economically feasible only to conduct a sample survey of Texas 70,000 mile highway network each year. Thir report describes a study performed by the Texas Transportation Institute to investigate the effectiveness of various sample sizes at predicting the pavement score distribution and the rehabilitation cost. A unique feature of this work is that the sample was used to estimate the distribution of pavement scores, rather than simply the mean score. By using the distribution of scores it is possible to estimate the number of miles below a minimum acceptable score and the approximate cost to maintain and rehabilitate the entire pavement network. The data used in this study was collected in 3 Texas districts in 1982. Within each District a 100% survey was made of the pavement condition. Therefore, the true pavement score distribution and estimated rehabilitation cost were known with certainty. In this study, several types of sampling plans with varying sample sizes were examined. It was concluded that sampling by county is the most efficient method, and that a 10-15 percent survey is adequate to determine the condition of the pavement network. It was also found that a 30-35 percent survey is required to achieve accurate estimates of the cost of rehabilitation. (Author)

• Corporate Authors:

  Texas Transportation Institute

  Texas A&M University System, 1600 E Lamar Boulevard
  Arlington, TX  United States  76011

  Texas State Department of Highways & Public Transportation

  Transportation Planning Division, P.O. Box 5051
  Austin, TX  United States  78763
• Authors:
  • Templeton, C J
  • Lytton, R L
• Publication Date: 1984-6

Media Info

• Features: Appendices; Figures; Tables;
• Pagination: 245 p.

Subject/Index Terms

• TRT Terms: Driver rehabilitation; Estimating; Evaluation; Maintenance management; Networks; Pavements; Roads; Statistical analysis; Statistical sampling
• Uncontrolled Terms: Maintenance costs; Pavement conditions; Rehabilitation; Road networks
• Subject Areas: Administration and Management; Construction; Data and Information Technology; Highways; Maintenance and Preservation; Pavements; I23: Properties of Road Surfaces;

Filing Info

• Accession Number: 00395198
• Record Type: Publication
• Report/Paper Numbers: TX-84/239-5 Intrm Rpt.
• Contract Numbers: Study 2-18-79-239
• Files: TRIS, ATRI, STATEDOT
• Created Date: Jun 30 1985 12:00AM