United States Department of Transportation
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An AHP-based approach to prioritizing resources for highway routine maintenance.
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2013-09-01
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[PDF-2.16 MB]
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NTL Classification:NTL-ECONOMICS AND FINANCE-ECONOMICS AND FINANCE;NTL-HIGHWAY/ROAD TRANSPORTATION-Construction and Maintenance;
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Abstract:The Texas Department of Transportation has been experiencing maintenance budget fluctuations recently. The
budget shortage has a negative impact on the agency’s maintenance strategies and results in the undesirable
deterioration of highway conditions, increasing the risk for both road users and the agency. This project aims to
develop a methodology to minimize the impact of budget fluctuation by quantifying the risk of not performing a
maintenance activity and identifying the priority of maintenance activities based on the quantified risk.
With the help of maintenance experts from TxDOT, 4 maintenance objectives and 16 maintenance function
groups were identified and a hierarchy structure was developed based on the objectives and function groups. Four
pilot districts were selected to represent the different demographic and climatic regions in Texas and maintenance
experts were selected from the four districts to participate in the workshop. The overall relative weights of the 16
maintenance function groups were determined based on the individual evaluator’s judgments using the Analytical
Hierarchy Process. To determine whether the 4 pilot districts varied in assigning relative importance to the 4
defined objectives and priority to the 16 maintenance groups, statistical analyses were conducted with the 4 sets of
values, 1 for each of the 4 pilot districts, using Kruskal-Wallis test.
Lastly, a web-based prototype system was developed to assist users in generating the list of maintenance
projects under budget constraints. Exposure factors, ADT, and truck volume were applied in the system to factor in
the impact of traffic on the maintenance strategy. Users of this system can choose to use the weights and parameter
values from the pilot district that they think is most comparable to their own district, or use the state average values
that have proved to be applicable to all the districts in Texas.
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