Bashir, RashidPerras, MatthewBasit, Abdul2022-12-142022-12-142022-05-242022-12-14http://hdl.handle.net/10315/40622In recent years, numerous studies have highlighted that the climate across the world is changing rapidly due to increased Green House Gas (GHG) emissions. The Intergovernmental Panel on Climate Change (IPCC) has reported that ambient temperatures across Canada are rising twice than the rest of the world. In light of climate change, it is vital to adapt our best practices in pavement material selection and road weight restrictions to avoid potential disruption. Traditionally, asphalt binder selection based on the Superior Performing Asphalt Pavements (Superpave) Performance Grade Asphalt Concrete (PGAC) system relies on historic climatic conditions in relation to the expected in-service temperature range of the flexible pavement. Moreover, in Canada, the Spring Load Restriction (SLR) periods are imposed on the basis of subsurface temperature data obtained from Road Weather Information System (RWIS) and Spring Load Adjustment (SLA) stations in conjunction with visual observations. In view of climate change, it is crucial to investigate the extent to which pavement surface and subsurface temperatures will be affected by ambient conditions in the future. This is to assess the relative impact on appropriate PGAC selection and appropriate SLR recommendations for more durable and resilient pavement structures. In this study, regression models were developed to determine the relationships between asphalt pavement surface temperature and ambient weather data from various weather stations within the Ontario Ministry of Transportation’s RWIS. Moreover, this study also involves the investigation of climate change effect on SLR periods using future climate projections. Regression models were developed to determine the relationships between freeze/thaw depths and climate indices using data from existing SLA and RWIS stations within Ontario. Firstly, the relative impact of climate change on pavement surface and subsurface temperature extremes were estimated for different Representative Concentration Pathways (RCPs) using the regression models. After that, appropriate PGAC selection and SLR recommendations to meet projected pavement temperatures were assessed. It was anticipated that in the future, climate change could potentially cause changes to asphalt binder grades and changes in SLR periods across the Province of Ontario depending on the severity of the projected warming due to climate change.Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.EngineeringClimate changeElectronic Thesis or Dissertation2022-12-14Climate changeAsphalt bindersPGACAsphalt PGSpring load restrictionsPavementsRoad Weather Information System