ABSTRACT
Surface pavements have been studied for decades. Various surface treatments have been done by agencies to improve the functional performance of surface pavement, both for concrete and asphalt: skid resistance, water surface drainage, pavement roughness, and noise. However, existing different criteria and parameters might cause misinterpretation when decision makers are about to select the right surface treatment. Not to mention, many decisions involve trade-offs, which causing conflicting constraints. Yet, fewer studies were found on a comprehensive analysis on determining which surface treatment leads to better functional performances. This research gives a holistic understanding of functional performance of surface pavement with Multi Criteria Decision Analysis (MCDA). More than 5.000 data records have been collected and analyzed regarding the functional performance of surface pavement which includes criteria like: friction, macrotexture, splash and spray, pavement roughness, noise, cost, and durability. These criteria are then scored and weighted to reflect their relative importance. The weighted sum of the chosen criteria is used to rank the options. The MCDA for functional performance is then further developed with MATLAB software.
