Random Parameters Seemingly Unrelated Equations Approach to the Postrehabilitation Performance of Pavements
Publication: Journal of Infrastructure Systems
Volume 18, Issue 3
Abstract
Pavement rehabilitation is one of the most critical and costly forms of infrastructure asset management. Yet determining the subsequent performance of rehabilitated pavements is a complex task, particularly when multiple performance measures such as roughness, surface deformation, and structural integrity are considered. The complexity arises in part because of the interrelation among these performance measures and the fact that data relating to factors known to affect these measures may not be available. This paper seeks to demonstrate an appropriate methodological approach for studying the postrehabilitation performance of pavements using data from rural interstate roads in Indiana. Specifically, a random parameters seemingly unrelated equations approach is applied to explicitly account for the cross-equation correlation that exists among pavement-performance measures and the underlying heterogeneity across observations caused by imperfect data. The results provide some new insights into the interrelationships among the pavement rehabilitation treatments considered, pavement performance, traffic loads and trucks, weather and soil conditions, and rehabilitation expenditures.
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Acknowledgments
The authors would like to thank Bill Flora (Indiana Department of Transportation) for his immense assistance in data acquisition. The contents of this paper reflect the views of the authors, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of any agency, nor do the contents constitute a standard, specification, or regulation.
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Information & Authors
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Published In
Journal of Infrastructure Systems
Volume 18 • Issue 3 • September 2012
Pages: 176 - 182
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Oct 18, 2011
Accepted: Jan 12, 2012
Published online: Jan 14, 2012
Published in print: Sep 1, 2012
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