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Self-driving vehicles are expected to reduce mobility barriers; however, it is still unclear how individuals will use them and how they will benefit the urban transportation system overall. This research aims to evaluate self-driving technology diffusion by applying and testing a conceptual model that was designed to unpack the possible determinants of the adoption of shared autonomous vehicles (SAVs). The study framework was developed based on the principles of socio-psychological theories of human behavior and investigates the adoption of SAVs by two groups of people: users and non-users. Structural equation modeling (SEM) was utilized to analyze the effects of motivational and restriction-related factors on SAV use and adoption, and the results indicated that perceived usefulness and restriction-related factors can positively motivate individuals to use SAVs more frequently. Ultimately, however, their …