Estimating Water Supply Infrastructure Cost Using Regression Techniques
Publication: Journal of Water Resources Planning and Management
Volume 142, Issue 4
Abstract
The current paper aims at the establishment and validation of reference cost functions for different types of assets of water supply systems based on known hydraulic (e.g., flow, pump head, pump power) and physical (e.g., volume, material, nominal pressure, diameter) characteristics of the assets. A five-step methodology was followed: (1) database construction and asset characterization; (2) present cost value calculation; (3) key parameters and cost function establishment; (4) model specification; and (5) model testing and validation. A sample of cost and infrastructure data from several Portuguese water utilities has been used. Multiple linear regression analysis has been carried out to obtain cost functions. Cost modeling also includes the estimation of prediction bands to describe cost uncertainty. Developed cost functions have been tested and validated using 10% of randomly selected data.
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Acknowledgments
The authors would like to thank to the AdP group, especially Nuno Lopes and Luis Mamouros, that have provided data and supported this research project. They would also like to thank Susana Lopes and David Figueiredo for the help in data treatment. A special thanks goes to the Ministry of Environment, Territory Planning and Energy, which has partially funded this research through Programa Operacional Sustentabilidade e Eficiência no Uso de Recursos (POSEUR) funds.
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© 2016 American Society of Civil Engineers.
History
Received: Apr 22, 2015
Accepted: Oct 21, 2015
Published online: Jan 8, 2016
Published in print: Apr 1, 2016
Discussion open until: Jun 8, 2016
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