Assessment of Pavement Performance Management Indicators Through Analytic Network Process

Abstract

Pavement industry is very critical for any public authority looking after the safety and comfort of its citizens because it is the backbone of many transportation networks. Studying the factors that affect the pavement performance is essential to increase the lifetime of pavement. The objective of this article is to identify the factors that affect pavement performance and rank their effect. From a detailed literature review, 29 factors are identified and a questionnaire is developed to examine perceptions of the industry professionals about the importance of each factor on pavement performance. A total number of 205 completed responses are collected. The collected data are analyzed by relative importance index and a multicriteria decision-making method, analytic network process. Based on the data analysis, it is found that the most three significant factors are related to surface conditions, namely, 'high percentage of cracks,' 'extremely rough road surface,' and 'high rut depth.' The outcome of this article will help the professionals in the pavement industry to improve pavement performance, extend the expected pavement life cycle, and reduce the maintenance requirements.