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Comparative Assessment of Pavment
Name: Comparative Assessment of Pavment
File: Batoul Presentation 05-13-15 4C.pdf
Size(MB): 2.13MB
Extension: PDF
Event: 2015 ICSC - MIAMI
Speaker Name: Batouli, M.
Managed by: sdickens
Date Uploaded: June 1, 2015; 8:21 am
Download Count: 511
Downloads This Month: 511

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Your IP: 3.226.251.205



Description:
The choice of appropriate pavement materials is a critical aspect of sustainability in road infrastructure networks. Over the past few decades many research studies have investigated sustainability of pavement materials using life cycle assessment and life cycle cost analysis. While these studies are helpful in selection of sustainable pavement materials at the project level, the long-term impacts of pavement material selection on the sustainability performance of road networks is not fully understood. For a network level sustainability assessment, more holistic analysis approaches are required. In this paper, we argue that sustainability is a complex dynamic process rather than a static end state; and hence, a solution could be sustainable under a certain condition while the same solution is less desirable under different conditions. For instance, whether concrete or asphalt pavement is more sustainable depends on factors such as the availability of maintenance/rehabilitation funding, the preservation strategy at administrating agency, and the socio-environmental conditions. Hence, for assessment of the impacts of pavement material selection at network level, the complex interactions between the condition of assets, priorities of the agency, and user behaviors need to be considered. However, the existing Life Cycle Cost (LCC) and Life Cycle Assessment (LCA) methodologies are based on a static evaluation of the costs and environmental impacts of pavements through their service life. Therefore, they cannot capture the complex network-agency-user interactions and the uncertainty inherent in the service life of a pavement. To address this limitation, we present a simulation framework to simulate the performance, cost and environmental impacts of a pavement network under different conditions. The simulation framework is based on agent-based modeling that captures the dynamic behaviors at the interface of network-agency-user interactions. Using data related to a road network composed of twelve links, the simulation framework is implemented in an object oriented program. The model includes three object types: i) pavement asset object uses dynamic mathematical simulation to model the performance of pavement sections considering the environmental condition, traffic load, structure of the pavement, and type and timing of maintenance/rehabilitation activities. ii) agency object employs agent-based modeling to capture the dynamic decision processes of administrating agency regarding the maintenance/rehabilitation of the pavement. The decision processes of the agency is modeled based on availability of funding, prioritization of different roads, and the minimum tolerable condition of a pavement. iii) user object also uses agent-based modeling to capture the link between the condition of the pavements and user behaviors. The simulation framework is used for conducting Monte-Carlo experiments to evaluate and compare the sustainability performance of rigid and flexible pavements under different uncertain scenarios. The findings include the landscape of sustainability performance outcomes related to different types of pavement materials. The simulated landscape would provide a quantitative basis for comparison of pavement material types and their impact on the sustainability of road networks over a long-term. Hence, the proposed framework could be adopted by decision-makers to formulate policies related to pavement material selection that would enhance the long-term sustainability performance outcomes of road networks.

 
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