Abstract
Mathematical expression of the deterioration of individual pavement parameters is, from the point of optimal repair and maintenance strategy decision-making process, an important part of the application of any pavement management system (PMS). The reliability of individual PMS depends on the quality of the inputs and the reliability of its internal sub-systems; thus, deterioration equations derived from high-quality input data play pivotal roles in a system for the prediction of the pavement life cycle. This paper describes the application of pavement performance models within pavement life cycle analysis (LCA) with the use of the integrated system of economic evaluation (ISEH), which is a calculation tool used for first-class roads with a standardized pavement composition of asphalt binders, where changes in operational capability parameters are modeled using individual model simulations. The simulations presented in this paper demonstrate changes in main economic indicators (net present value and internal rate of return) on two different pavement performance models. Both simulations share the same input parameters (traffic intensity, construction intervention, maintenance costs, discount rate) but differ in deterioration evaluation, all of which were applied to each model (a total of five models).
Highlights
The objective of this study was to evaluate the economic impact of the application of different equations for pavement performance models
This paper presents the sensitivity of road user costs and subsequent results of life cycle cost analysis (LCCA) and cost–benefit analysis (CBA) to even small changes in pavement performance models
The proprietary ISEH (Integrovaný Systém Ekonomického Hodnotenia) software (Version 2.18, University of Zilina, Zilina, Slovakia, 2021) was developed at the University of Zilina. It was used as an LCCA and CBA tool of the assessment of three case study simulations; the results show the impact of performance models presented on economic indicators of a project
Summary
The objective of this study was to evaluate the economic impact of the application of different equations for pavement performance models. The impact of pavement performance models on repair technology and timing is well known [1]; there are other economic implications beyond repair technology costs linked to the road user [2]. This paper presents the sensitivity of road user costs and subsequent results of life cycle cost analysis (LCCA) and cost–benefit analysis (CBA) to even small changes in pavement performance models. A practical method for deriving such pavement performance models is described. This method uses the synergy between accelerated pavement testing and long-term pavement performance monitoring described in separate sections.
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