Highway construction data collection and treatment in preparation for statistical regression analysis

Williams, R C; Hildreth, J C and Vorster, M C (2009) Highway construction data collection and treatment in preparation for statistical regression analysis. Journal of Construction Engineering and Management, 135(12), pp. 1299-1306. ISSN 0733-9364

Abstract

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 purpose 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 include 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.

Item Type: Article
Uncontrolled Keywords: construction management; data collection; highways and roads; regression analysis; seasonal variations; statistics; weather conditions
Date Deposited: 11 Apr 2025 19:43
Last Modified: 11 Apr 2025 19:43