The prediction of construction time performance is a problem of interest to both researchers and construction industry practitioners. This research seeks toidentify significant factors which may influence construction durations for Air Force Military Construction (MILCON) projects to establish a time predictionmodel. Data were collected for 856 MILCON projects completed between 1988 and 2004; this included both traditional facility and non-facility (e.g. airfieldpavements, utilities) projects. These data were analyzed using ...
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The prediction of construction time performance is a problem of interest to both researchers and construction industry practitioners. This research seeks toidentify significant factors which may influence construction durations for Air Force Military Construction (MILCON) projects to establish a time predictionmodel. Data were collected for 856 MILCON projects completed between 1988 and 2004; this included both traditional facility and non-facility (e.g. airfieldpavements, utilities) projects. These data were analyzed using Bromilow's time-cost (BTC) model (1969) as well as multiple linear regression. Neither modelproduced acceptable results for non-facility projects; however, the multiple linear regression model was found to provide the most acceptable time predictionmodel for facility projects.As with the BTC model and previous research reported in the literature, there was a significant correlation between cost and duration. However, severalother factors were also identified that resulted in significantly lower than average construction durations.
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