People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model

Abstract

With the advancement of technology, sharing and autonomous driving will be the two major themes in the future transportation field, and SAVs (Shared autonomous vehicles) will combine the two things. When SAVs come to market, they will affect the transportation system, so the objective of this paper is to examine people’s intentions to use SAVs and clarify the factors affecting people’s intentions to use SAVs. Due to the application of the theory of planned behavior (TPB) in traffic travel research having important practical significance, this paper used an extended theory of planned behavior model to study people’s intentions to use SAVs. Some important findings are found that the intention to use SAVs is directly affected by attitude, subjective norm, perceived behavior control, barrier, and effects of a public health emergency, and indirectly affected by perceived risk, technical interest, government policy, and environmental awareness. Moreover, perceived behavior control has the mediating effect between government policy and intention to use SAVs, between technical interest and intention to use SAVs, and between subjective norm and intention to use SAVs. According to the influence degree of related influencing factors, the corresponding development recommendations on SAVs development are put forward. The research results of this paper contribute to the subsequent listing of SAVs, promote the further development of intelligent transportation, and provide the scientific basis for future travel policy formulation and traffic planning.