Estimation of Routine Maintenance Expenditures for Highway Pavement Segments: Accounting for Heterogeneity Using Random-Effects Models
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 143, Issue 5
Abstract
A significant portion of highway infrastructure life-cycle costs can be attributed to maintenance expenditures, particularly in the later years of an infrastructure’s life. These expenditures are a key input for agency functions including cost allocation, financial planning and needs assessment, and investment evaluation. Thus, agencies seek improved techniques for forecasting future maintenance expenditures. Evidence from empirical data suggests that maintenance expenditure data exhibits significant spatial and temporal variations. If this is not addressed, the analysis could be impaired by disturbance correlation and yield potentially inefficient model estimates. In addressing this issue this paper introduces and validates (for highway pavement sections) a random-effects panel-data methodology to account for variations in routine highway maintenance expenditures at different locations and years. The results suggest that the annual maintenance expense (AMEX) values are: $250–$1,120/lane-km [$400–$1,800/lane-mile(mi)] for interstates, $125–$650/lane-km ($200–$1,000/lane-mi) for U.S. routes, and $125–$310/lane-km ($200–$500/lane-mi) for state roads, depending on the pavement age, surface type, climate, and traffic.
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Acknowledgments
One of the authors was funded by the Colombian Government’s Department of Science and Technology and the Universidad del Valle, under the Colciencias, Generación del Bicentenario Fellowship Program.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 143 • Issue 5 • May 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Mar 7, 2016
Accepted: Nov 7, 2016
Published ahead of print: Jan 31, 2017
Published online: Feb 1, 2017
Published in print: May 1, 2017
Discussion open until: Jul 1, 2017
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