查看文章

Connected and autonomous vehicles (CAVs) can revolutionize the daily travel modes, personal, public, or shared mobility because of technology-assisted driving. However, such a revolution will come at the cost of numerous anticipated barriers like accident liabilities, data safety concerns, the addition of new infrastructure, and increased emissions because of the induced travel demand. Adoption research from non-transportation related innovation suggests that social network plays a pivotal role in deciding whether to adopt, defer, or not to adopt. The existing literature in capturing the individuals’ intention to adopt autonomous vehicles based on their social network is limited. Hence, this research aims to understand, model, and predict CAV market penetration in Tennessee based on residents’ social network. Based on the statewide survey responses of 4,602 Tennesseans, a hybrid choice model was modeled to capture the impact of attitudes and perception on their intention to adopt CAVs. An agent-based model was also rendered to capture the impact of peer-to-peer interaction and the price of CAVs on their future adoption. Key findings highlight the positive impact of residents’ perceptions towards their social status, input received from their peers, tech-savvy lifestyle, and willingness to pay more towards autonomous technology on their intention to adopt personally owned-CAVs. Finally, adoption forecasts showed higher levels in four major counties of Tennessee, and an annual price reduction of 20% can increase the adoption rate by 17 times. Based on these findings and COVID-19 impacts on CAVs, this research proposes some …