Please use this identifier to cite or link to this item:
http://ir.futminna.edu.ng:8080/jspui/handle/123456789/27115
Title: | Measuring and Modelling Overruns in Highway Project Costs in Nigeria |
Authors: | Ogbu, C. P Adindu, Chinedu, Chimdi |
Keywords: | Cost Overrun Highway Modelling Regression |
Issue Date: | Oct-2023 |
Publisher: | Nigerian Journal of Environmental Sciences and Technology |
Citation: | Ogbu and Adindu, 2023 |
Series/Report no.: | Vol 7, No. 3; |
Abstract: | Overruns in highway project costs are pervasive globally. Recent attempts at predicting highway cost overruns predominantly rely on the use of after-the-fact machine learning predictive models that mainly address developed country contexts. The present study estimated the extent of cost overrun in Nigerian highway projects, and developed a regression model for predicting cost overruns in such projects based on the winning tender. Secondary data for the study was obtained from the website of the Nigerian Federal Ministry of Works and Housing, and covered the period 2002 to 2015. The overall average cost overrun for Nigerian highway projects was determined to be 17.37%. Additionally, a logarithmic model for estimating cost overrun at the pre-award stage of highway projects was obtained as πΏππ10(πΆππ π‘ππ£ππππ’π) = 0.844 + 0.914πΏππ10(ππππ‘ππππππ π‘). In the context of this study, it is better to estimate overruns in highway projects after the successful bidder has been identified, and to add the estimated cost overrun as a contingency sum to the contractorβs bid at that stage. Measures for mitigating cost overrun in highway projects in Nigeria should be intensified |
URI: | http://repository.futminna.edu.ng:8080/jspui/handle/123456789/27115 |
ISSN: | 2734-259X |
Appears in Collections: | Project management Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
NIJEST UNIBEN.pdf | 697.14 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.