Bayesian Belief Network Model for Decision Making in Highway Maintenance: Case Studies
Publication: Journal of Construction Engineering and Management
Volume 135, Issue 12
Abstract
This paper presents two case studies that were conducted to illustrate the functionality and application of a decision support system for predicting the influence of decisions made by state highway agencies regarding important work zone project variables such as work window, work zone length, lane closure strategy, and contract incentives on the cost, duration, quality, safety, and public satisfaction of a particular project under consideration. The first case study describes in detail the operation and function of the three major levels of the proposed framework using a completed project, whereas the second case study provides an opportunity for the application of the decision support system to a work zone project in the planning stages using the input of the actual decision maker for the project.
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Acknowledgments
The writers acknowledge the help and support provided by the Indiana Department of Transportation (INDOT) in the data collection and case studies conducted during this research. However, the opinions and findings expressed here are those of the writers alone and not necessarily the views or positions of INDOT.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 135 • Issue 12 • December 2009
Pages: 1357 - 1369
Copyright
© 2009 ASCE.
History
Received: Oct 27, 2008
Accepted: Jun 29, 2009
Published online: Jul 3, 2009
Published in print: Dec 2009
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