In recent years, people have begun to use sharing economy platforms such as Airbnb and Uber. The rapid development of such sharing economy platforms has thus become an important topic. Studies regarding the sharing economy have discussed resource providers but not users. Therefore, this study constructs a model to measure the components of sharing economy drivers and the correlation between those drivers and usage intention, in addition to exploring the differences in the composition of drivers and usage intention between Airbnb and Uber. The survey method was an online questionnaire. The sample analysis uses partial least squares regression to verify the hypothesis and analyze the components that form the sharing economy for drivers. According to the results, sharing economy drivers─Societal drivers, Economic drivers, Technological drivers, affect usage intention, and different combinations of sharing economy components, such as enjoyment, network externalities, perceived quality, cost saving, and efficiency, exist in Airbnb and Uber. For the reference of relevant academic research and practical operation in the future.