Highway Construction Data Collection and Treatment in Preparation for Statistical Regression Analysis

Currently, there is not an understanding of the project factors having a statistically significant relationship with highway construction duration. Other industry sectors have successfully used statistical regression analysis to identify and model the project parameters related to construction duration. While the need is seen for such work in highway construction, there are very few studies which attempt to identify duration-influential parameters and their relationship with the highway construction duration. The aim of this work is to describe the highway construction data needed for such a study, identify a data source, collect early-design project data, and prepare the data for statistical regression analysis. The Virginia Department of Transportation is identified as the optimal data source. The data collected includes historical contract and project level parameters. To prepare for statistical regression analysis, the contract duration collected is converted to construction duration by a seasonal adjustment process which removes historically typical nonworking days.

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  • Supplemental Notes:
    • Abstract reprinted with permission from ASCE
  • Authors:
    • Williams, Robert C
    • Hildreth, John C
    • Vorster, Michael C
  • Publication Date: 2009-12


  • English

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  • Accession Number: 01148059
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 31 2009 1:53PM