A Study on Leisure Tourists’ Travel Choice Behavior of Shared Autonomous Vehicles

The travel of leisure tourists is free in time, place and mode of transportation, and usually has personalized characteristics. With the development of the tourism industry, it is necessary to incorporate tourism transportation into the overall planning of urban transportation. This study proposes a demand-responsive transportation service mode using shared autonomous vehicles (SAVs). By combining RP and SP questionnaires survey method, this paper studies leisure tourists’ travel choice behavior and the willingness to use SAVs. Considering tourists’ perceived value and perceived risk of SAVs, a structural equation model (SEM) and an integrated choice and latent variable (ICLV) model are established to analyze the travel behavior characteristics of tourists.