Relationship Between Pavement Performance and Routine Maintenance: Mixed Logit Approach

Abstract

A mixed logit approach was used to investigate the relationship between routine maintenance and pavement performance. A discrete model was developed to examine how pavement performance levels affect the probability of performing maintenance on pavement sections. Another continuous model was formulated to investigate the effect of maintenance on the level of pavement performance. Maintenance was considered a discrete event representing a binary choice of its being performed on a pavement section or not. Pavement performance levels were represented by roughness numbers. Other variables included were pavement thickness, pavement loading, and a regional factor. Pavement thickness was assumed to represent initial construction, and traffic loadings were in the form of equivalent single-axle loads. The regional factor represented the weather and climatic differences between the northern and southern regions. A two-stage procedure was applied to evaluate the mixed logit approach. The data from the Interstate highways in Indiana for 1984 to 1985 were used for model estimation. The mixed logit approach produced much better results than the single-equation method in specifying the models in terms of coefficient signs and their significances. The results confirmed that pavement roughness was affected by maintenance and that the decision to undertake maintenance was influenced by the expected level of pavement roughness.

Aggregate and disaggregate statistical evaluation of the performance-based effectiveness of long-term pavement performance specific pavement study-5 (LTPP SPS-5) flexible pavement rehabilitation treatments

“…Sebaaly et al (1995) used pavement performance data from Nevada roads to access the effectiveness of nine flexible pavement preservation treatments. In Indiana, Mohamed et al (1997) developed mixed logit models to investigate the relationship between flexible pavement routine maintenance and pavement performance. Lamptey et al (2004) developed treatment-specific pavement performance curves.…”

Identifying Project Value Interests: A Binary Logit Model

“…The implication of their study is that the generally accepted s-shaped cash flow models that reflect the industry average are not adequate for cash flow prediction of a unique project. Mohamad et al (1997) used a mixed logit model (discrete and continuous dependent variables) in a two-stage approach to pavement performance that considered the interactive effects of maintenance and pavement condition. Using logistic regression, Phua (2006) showed the adoption of partnering or collaborating within the construction industry is largely influenced by whether the practice is encouraged by industry norms, rather than by the potential benefits of the practice perceived by individual firms.…”

Incorporating Maintenance Effectiveness in the Estimation of Dynamic Infrastructure Performance Models

“…Empirical results reported in this and other studies (cf. Mohamad et al, 1997) have been used to validate this modeling approach. The drawback is that the simultaneous dependence between deterioration and maintenance means that it is not possible to forecast conditions under various M&R policies, and therefore, the ensuing models are not useful to support M&R decisionmaking.…”