Degree Type


Date of Award


Degree Name

Master of Science


Civil, Construction, and Environmental Engineering


Civil Engineering (Transportation Engineering)

First Advisor

Omar Smadi


The study is performed to identify the most important variables that impact the structural and functional properties of pavements in four climatic zones of the US and Canada utilizing data from the Long-Term Pavement Performance database. In addition to the LTTP’s Seasonal Monitoring Program (SMP) data, this study used the Modern-Era Retrospective Analysis for Research and Applications (MERRA) data. MERRA is created by the National Aeronautics and Space Administration (NASA) for its research needs. Random forest model was used to identify variables with the most impact combined with a multiple linear regression main effect model to quantify the impact of the most important variables. Resilient modulus of the pavement top layer and the International Roughness Index (IRI) of the pavement surface were used for structural and functional properties respectively. For asphalt pavement resilient modulus, the critical climatic factors were different in the four climatic zones and the temperature related variables were found to be the most important. For rigid pavements, the variation was low for different climatic zone and also the impact of climatic variables was found not to be as significant. For asphalt pavement IRI, 80% of the important variables were the same for all climatic zones and also apart from soil temperature layer 6 from the MERRA data, the impact of other climatic variables was reduced. For rigid pavement IRI, there was only one analysis for all zones due to lack of data. Thus, the impact of zonal variance cannot be explained.


Copyright Owner

Maroa Mumtarin



File Format


File Size

132 pages