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 |
| Index terms: | weather, industry sector, project data, highway construction, statistics, duration, seasonal variation, regression analysis |
| Subjects: | climate science, mathematical modelling, air quality, data collection methods, civil engineering, statistical analysis, industry analysis, project controls |
| Topics: | Time Control, Sustainability, Engineering Principles, Research Practice |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here