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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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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Taschenbuch. Condición: Neu. Neuware - 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.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. Nº de ref. del artículo: 9781288397778
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