A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM
Shared autonomous vehicles (SAVs) have the advantages of both autonomous driving technology and shared transportation, which is an important development direction for intelligent and green transportation in the future. However, a lack of trust and a high perceived risk have reduced the public’s willingness to use this mode of travel. To improve the public’s willingness to use it, many scholars have conducted research, but young people are still a neglected group. A structural equation model was used to test the models based on 316 survey samples. The results indicated that initial trust had a significant positive effect on the intention to use SAVs, while perceived security risk and perceived privacy risk had no significant effect on the intention to use, but perceived security risk can indirectly negatively affect the intention to use. In addition, attitude and face consciousness had a significant positive influence on intention to use, while subjective norms, perceived behavioral control, and perceived usefulness had a significant indirect positive influence on intention to use SAVs. The findings showed that the model used in this paper was reasonable and valid for explaining young people’s willingness to use SAVs. This will provide guidance for formulating more effective strategies for this group.
A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM
Shared autonomous vehicles (SAVs) have the advantages of both autonomous driving technology and shared transportation, which is an important development direction for intelligent and green transportation in the future. However, a lack of trust and a high perceived risk have reduced the public’s willingness to use this mode of travel. To improve the public’s willingness to use it, many scholars have conducted research, but young people are still a neglected group. A structural equation model was used to test the models based on 316 survey samples. The results indicated that initial trust had a significant positive effect on the intention to use SAVs, while perceived security risk and perceived privacy risk had no significant effect on the intention to use, but perceived security risk can indirectly negatively affect the intention to use. In addition, attitude and face consciousness had a significant positive influence on intention to use, while subjective norms, perceived behavioral control, and perceived usefulness had a significant indirect positive influence on intention to use SAVs. The findings showed that the model used in this paper was reasonable and valid for explaining young people’s willingness to use SAVs. This will provide guidance for formulating more effective strategies for this group.
A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM
Yang Liao (author) / Hanying Guo (author) / Xinju Liu (author)
2023
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model
| DOAJ | 2023
Usage Intention of Shared Autonomous Vehicles with Dynamic Ride Sharing on Long-Distance Trips
| DOAJ | 2023