The integration of automation and shared mobility services would significantly affect transportation demand, especially mode choice. However, little is known about how attitudes, travel attributes, and demographic factors affect the modal shift to shared autonomous vehicles (SAVs). A stated preference survey was designed to determine the preferences of car and transit users in relation to a modal shift to SAVs. The binary logit models’ results revealed distinct behavior patterns and systematic heterogeneity among transit and private car users based on a representative sample of 607 individuals in 2021. The shifting behavior of both users is positively affected by attitudinal factors, including consumer innovativeness, perceived usefulness, sharing intention, and ecological awareness, while negatively affected by privacy concerns. In terms of travel-related attributes of SAVs, car users are eight times more sensitive to waiting times compared to transit users, who are three times more concerned with travel costs. Further, privacy concerns, the number of passengers sharing a trip, and the ratio of waiting time to travel time of SAVs were the major barriers to shifting the likelihood of car users’ behavior. In light of these findings, based on the likely effects of SAVs on shifting behavior, a number of practical implications are suggested for more effective policy making.

The integration of shared mobility and autonomous vehicles (AVs) could potentially change the way parents decide to transport their children to and from school. A better understanding of the factors influencing parents’ intentions to use shared autonomous vehicles (SAVs) for school transportation is necessary to enhance their children’s mobility. Unlike prior research, this paper significantly contributes to the literature by exploring the impacts of socioeconomic, travel-related, and psychological factors and their interactions. Using Google Forms for an online survey, the authors collected 1435 valid responses from parents in Kerman city schools in Iran. The estimation results of the generalized ordered logit model indicate the significant impact of parents’ socioeconomic status (occupation, education, income), travel behavior (accident experience, crash severity, travel cost), and attitude (innovativeness, perceived usefulness, environmental concern, pro-driving, safety), and their children-related factors (gender, the most frequently used travel mode, the possibility of tracking the child). The findings show that an increase in parents’ education, perceived usefulness, and environmental concern increase the likelihood of their intentions to use SAVs. Finally, based on the findings, several implications are suggested to increase parents’ intentions to use SAVs for transporting their children and to make SAVs a safe, affordable, and sustainable transport solution.

Dependence on private cars has led to numerous problems, where AVs could be a potential solution. Pooled service, however, could be a much bigger step towards sustainable transportation. This paper presents a modal shift analysis emphasizing socio-economic, travel characteristics and their interaction for a sample of private car users in Tehran. A stated preference survey was designed in 2021 exclusively for the research purposes, and 491 valid questionnaires were gathered. One of the main contributions is considering the impact of the number of persons in shared autonomous vehicle with pooled service (SAVWPS). Estimation results of discrete choice model reveal that, high-income respondents, owning a personal car and being a man decrease the likelihood of modal shift to SAVWPS. A negative impact is also observed for travel time, travel cost, waiting time and number of persons in SAVWPS. A significant systematic heterogeneity is observed in the interaction effect of travel time and dissatisfied respondents with internet taxis due to the pandemic. Considering this taste variation, a lower travel time in SAVs could increase the modal shift likelihood among these travelers. The findings could help transportation decision-makers identify the factors affecting modal shift to SAVWPS to achieve a more sustainable transportation system.