Abstract:In order to explore public acceptance on automated vehicles (AVs), from the perspective of AVs purchasing intention, this study constructed a Structural Equation Model (SEM) based on perceived benefit—perceived risk theoretical framework to analyze the influencing factors of purchasing intention on AVs. Compared with ordinary fuel vehicles or electric vehicles, technology interest and enjoy driving were introduced as two psychological latent variables which were special for AVs to expand this model. Through Stated Preference (SP) survey, the results of quantitative research show that: 1) Perceived benefit and technology interest have a significant positive effect on purchasing intention; 2) Technology interest has a significant positive effect on perceived benefit and indirectly modulates the effect of perceived benefit on purchasing intention; 3) Perceived risk has a negative effect on purchasing intention, but enjoy driving has little effect on purchasing intention or technology interest. On this basis, reasonable recommendations for AVs promotion were proposed from both policy and commercial perspectives to promote consumers’ willingness to pay for AVs.