2019 CSCE Annual Conference - Laval (Greater Montreal)

2019 CSCE Annual Conference - Laval (Greater Montreal) Conference


Title
A FRAMEWORK FOR PAVEMENT TREATMENT ALTERNATIVE SELECTION THROUGH LIFE CYCLE COST ANALYSIS

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Author(s)
Dr. Song He, George Mason University
Dr. Ossama Salem, George Mason University (Presenter)
Mr. Baris Salman, Syracuse University
Abstract

Aging road infrastructure and budgetary limitations have made it increasingly important to optimize roadway maintenance, repair, and rehabilitation (MRR) expenditures in the United States. For the past few decades, several non-traditional rehabilitation techniques, such as the use of warm mix asphalt, cold in-place recycling, full depth reclamation, and intelligent compaction, have proved effective in addressing asphalt pavement deficiencies while reducing project costs, shortening activity durations, and improving quality of work. While many studies have been conducted on the life cycle costs of MRR projects, very few have evaluated non-traditional techniques with in-depth analysis of user costs. This study focuses on life cycle cost analysis (LCCA) of these non-traditional techniques by investigating agency costs, user cost due to travel delay, user cost due to additional fuel consumption, and user cost due to higher numbers of crashes. A total of six life cycle MRR alternatives were developed, where four represent the non-traditional techniques and the other two represent traditional techniques as benchmarks. Cost data for agency costs were obtained through a survey of state departments of transportation and RSMeans 2016. User cost data were obtained from literature, within which fuel consumption costs were estimated through Motor Vehicle Emission Simulator. Results show that alternatives involving asphalt recycling and intelligent compaction have lower overall life cycle costs. It is also concluded that user travel delay costs account for a major portion of the overall life cycle costs, so decision makers are recommended to select MRR techniques with minimum disruption to commuters’ mobility.