Record Details

Early cost estimating for road construction projects using multiple regression techniques

Construction Economics and Building

View Archive Info
 
 
Field Value
 
Title Early cost estimating for road construction projects using multiple regression techniques
 
Creator Mahamid, Ibrahim
 
Subject Management, Costing
Cost estimating, regression, road construction, early estimate
Manageemnt
 
Description The objective of this study is to develop early cost estimating models for road construction projects using multiple regression techniques, based on 131 sets of data collected in the West Bank in Palestine. As the cost estimates are required at early stages of a project, considerations were given to the fact that the input data for the required regression model could be easily extracted from sketches or scope definition of the project. 11 regression models are developed to estimate the total cost of road construction project in US dollar; 5 of them include bid quantities as input variables and 6 include road length and road width. The coefficient of determination r2 for the developed models is ranging from 0.92 to 0.98 which indicate that the predicted values from a forecast models fit with the real-life data. The values of the mean absolute percentage error (MAPE) of the developed regression models are ranging from 13% to 31%, the results compare favorably with past researches which have shown that the estimate accuracy in the early stages of a project is between ±25% and ±50%.
 
Publisher UTS ePRESS
 
Contributor —
 
Date 2011-12-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
—
survey
 
Format application/pdf
 
Identifier http://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/2195
10.5130/AJCEB.v11i4.2195
 
Source Construction Economics and Building; Vol 11, No 4 (2011): AJCEB; 87-101
2204-9029
 
Language eng
 
Relation http://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/2195/2664
 
Coverage Asia
—
—
 
Rights Copyright (c) 2011 Ibrahim Mahamid
http://creativecommons.org/licenses/by/4.0