Does generation difference affect intention to use shared autonomous vehicles? Case of mandatory trip

The integration of self-driving cars and ride sharing services has led to the emergence of shared autonomous vehicles (SAVs), which will reduce the use of private cars and sustainable transportation development. This paper aims to determine and compare the effect of various factors on intention to use SAVs in mandatory trips in Tehran.

Using descriptive analysis, correlation coefficient and factorial ANOVA, the research questions have been answered by collected data in September, 2021.Findings and

Results indicate the existence of a significant difference between the fixed effect of driving license (yes/no) and generation categories (millennials and baby boomers) in the intention to use SAVs in mandatory trips. People without a driving license and millennials have a higher intention of using this technology than people without a license and baby boomers due to their familiarity with technology. As an interesting finding, there was a significant interaction effect of gender with two other variables despite the non-significance of gender fixed effect. Moreover, the interaction effect of driving license and generations also showed the greater intention of millennials than baby boomers, regardless of driving license ownership. Also, the significant interaction effect of gender, driving license ownership and generation categories indicates the existence of a significant difference in intention to use SAVs for different combinations of these factors. It was concluded that among women with driving license, there is a significant difference between millennials and baby boomers, and millennials are more inclined to use this technology than baby boomers.