Framework to estimate the benefit-cost ratio of pavement skid improvements at the network level
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Research has proven that low values of pavement skid increase crash risk. Minimum skid thresholds have been established in order to screen projects for further testing and improvements. Skid resistance values are used in addition to crash data, pavement condition data, and roadway features to select and prioritize skid improvement projects. Furthermore, skid resistance performance models have been developed in order to capture the skid deterioration over time. However, the aforementioned studies did not quantify the economic impact of skid improvements over a time period for a network. This thesis fills this information gap, by providing a framework that quantifies the Benefit-Cost Ratio (BCR) of skid resistance improvements at the network level. A skid deterioration model is developed using the Markov Chain process, in order to account for the base case scenario when no treatment is applied. Benefits are quantified as the reduction of expected crashes compared to the base case scenario, using the concept of Crash Rate Ratio (CRR). Costs are quantified as the costs of pavement resurface treatments that improve skid. A sample of highway sections that comprise 564 lane-miles in Texas is evaluated to demonstrate the applicability of the proposed methodology. As a result, a Benefit-Cost Ratio curve was generated for different minimum skid thresholds.