Promoting Sustainable Transportation: How People Trust and Accept Autonomous Vehicles—Focusing on the Different Levels of Collaboration Between Human Drivers and Artificial Intelligence—An Empirical Study with Partial Least Squares Structural Equation Modeling and Multi-Group Analysis DOI Open Access

Yi Yang,

Min-Yong Kim

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 125 - 125

Published: Dec. 27, 2024

Despite the advancement in autonomous vehicles, public trust and acceptance are crucial for AV’s widespread adoption. This study examines how different collaboration levels between human drivers artificial intelligence influence users’ of AVs. Using an extended Technology Acceptance Model, this incorporates psychological factors technological attitudes such as perceived safety, risk, AI literacy, technophobia. Data collected from 392 vehicle owners across 11 Chinese cities were analyzed using Partial Least Squares Structural Equation Modeling Multi-Group Analysis. The findings reveal that at fully manual level, ease use significantly influences usefulness, while remains grounded mechanical reliability rather than systems. In contrast, assumes driving responsibilities collaborative automation levels, show literacy increases use, technophobia decreases them, with these effects varying levels. As takes on greater responsibilities, becomes less critical, increasingly acceptance. These highlight need targeted education phased strategies, offering guidance AV developers to address user concerns build technologies. By enhancing acceptance, contributes sustainable development by promoting safer roads enabling more efficient, resource-conscious transportation Gradually integrating AVs into urban mobility also supports smart city initiatives, fostering environments.

Language: Английский

An Integrated Framework of Routing and Rebalancing for Robotaxi Systems DOI
Aoyong Li, Wei Zhang, Kai Wang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Transition toward driverless robotaxi: Role of social anxiety, perceived safety, and travel habit DOI
Xinyu Yao, Jia Liu, Xueqin Wang

et al.

Transportation Research Part F Traffic Psychology and Behaviour, Journal Year: 2025, Volume and Issue: 109, P. 1402 - 1418

Published: Feb. 1, 2025

Language: Английский

Citations

0
How to Promote the Adoption of Electric Robotaxis: Understanding the Moderating Role of Inclusive Design on Interactive Features DOI Open Access
Chao Gu, Lie Zhang, Yingjie Zeng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 8882 - 8882

Published: Oct. 14, 2024

In recent years, China has witnessed a growing trend in the adoption of electric robotaxi services, with an increasing number users beginning to experience this emerging mode transportation. However, enhancing user willingness ride remains core challenge that industry urgently needs address. Our study approached issue from perspective interactive features, surveying 880 respondents and utilizing structural equation modeling analyze preferences. The research findings indicate computer-based entertainment significant positive impact on traffic information completeness social interaction, large effect (β > 0.5, p < 0.05), it also exerts small behavioral intention 0.1, 0.05). Traffic interaction have medium 0.3, addition, we confirmed inclusive design, gender, age moderating effects. Understanding design behavior can help drive changes, creating more human–vehicle environment for people different abilities, such as those autism. reveals key factors influencing users’ offers insights recommendations development practical application features robotaxis.

Language: Английский

Citations

2
A Note on Quantifying and Refining Platoon Intensity in Mixed Traffic Environments DOI

Yutae Lee

Published: Jan. 1, 2024

Language: Английский

Citations

0
Exploring influential factors of fleet and parking management in shared autonomous vehicle systems: An agent-based simulation framework DOI
Yuqian Lin, Kenan Zhang,

Dániel Kondor

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Promoting Sustainable Transportation: How People Trust and Accept Autonomous Vehicles—Focusing on the Different Levels of Collaboration Between Human Drivers and Artificial Intelligence—An Empirical Study with Partial Least Squares Structural Equation Modeling and Multi-Group Analysis DOI Open Access

Yi Yang,

Min-Yong Kim

Sustainability, Journal Year: 2024, Volume and Issue: 17(1), P. 125 - 125

Published: Dec. 27, 2024

Despite the advancement in autonomous vehicles, public trust and acceptance are crucial for AV’s widespread adoption. This study examines how different collaboration levels between human drivers artificial intelligence influence users’ of AVs. Using an extended Technology Acceptance Model, this incorporates psychological factors technological attitudes such as perceived safety, risk, AI literacy, technophobia. Data collected from 392 vehicle owners across 11 Chinese cities were analyzed using Partial Least Squares Structural Equation Modeling Multi-Group Analysis. The findings reveal that at fully manual level, ease use significantly influences usefulness, while remains grounded mechanical reliability rather than systems. In contrast, assumes driving responsibilities collaborative automation levels, show literacy increases use, technophobia decreases them, with these effects varying levels. As takes on greater responsibilities, becomes less critical, increasingly acceptance. These highlight need targeted education phased strategies, offering guidance AV developers to address user concerns build technologies. By enhancing acceptance, contributes sustainable development by promoting safer roads enabling more efficient, resource-conscious transportation Gradually integrating AVs into urban mobility also supports smart city initiatives, fostering environments.

Language: Английский

Citations

0