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Examining the effect of moderating variables on autonomous public van acceptance model (APVAM)
Hossein Naderi1, Habibollah Nassiri1
1Civil Engineering Department, Sharif University of Technology, Tehran, Tehran State, Iran.
Public acceptance of autonomous public vans (APVs) is crucial for their success. Key factors influencing willingness to use APVs include performance expectancy, facilitating conditions, and hedonic motivation, with demographic and travel habits also playing a role.
Area of Science:
- Transportation Science
- Human-Computer Interaction
- Urban Planning
Background:
- Autonomous vehicles (AVs) are poised to transform transportation.
- Shared public AVs offer a potential solution to mitigate increased traffic and travel pattern changes.
- Understanding public perception is vital for the successful adoption of public AVs.
Purpose of the Study:
- To identify factors influencing the public's willingness to use autonomous public vans (APVs).
- To develop and test an acceptance model for public AVs.
Main Methods:
- Developed an Autonomous Public Van Acceptance Model (APVAM) adapting UTAUT2.
- Utilized structural equations modeling for analysis.
- Conducted a field study with 824 participants in Tehran via online questionnaire.
Main Results:
- Performance expectancy, facilitating condition, hedonic motivation, and perceived PUnTrust directly influence APV use.
- Effort expectancy indirectly affects APV use.
- Demographics (gender, education, age) and travel behaviors (mode, purpose) moderate APV acceptance.
Conclusions:
- Public AV adoption is influenced by a combination of technological, psychological, and socio-demographic factors.
- Perceived enjoyment significantly impacts users of personal/public transport, highlighting the need for user experience focus.
- Targeted strategies considering diverse user groups are essential for promoting public AV adoption.
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