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Publication
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| Title of Article |
Understanding Intention to Use Conditionally Automated Vehicles in Thailand, Based on an Extended Technology Acceptance Model |
| Date of Acceptance |
18 January 2023 |
| Journal |
| Title of Journal |
Sustainability |
| Standard |
SCOPUS |
| Institute of Journal |
MDPI |
| ISBN/ISSN |
ISSN 2071-1050 |
| Volume |
15 |
| Issue |
3 |
| Month |
January |
| Year of Publication |
2023 |
| Page |
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| Abstract |
Automated vehicles (AVs) provide several advantages in solving issues of road traffic;
including enhanced safety, reduced greenhouse gas emissions, and reduced traffic congestion. As
AVs are still relatively new developments in developing countries, AV adoption faces challenges
from both technological and psychological issues. Therefore, our initial research focus is on identifying
the factors that influence the intention to use conditionally automated vehicles (CAVs; SAE
Level 3). An extended technology acceptance model (TAM), which includes Trust, Perceived Risks,
and Environmental concerns, is proposed as the predictor model in this study. The 299 participants
gathered through online surveys in Thailand were examined using the Structural Equation Model
(SEM) technique. In this study, Trust was shown to be the strongest predictor of Intention, followed
by Perceived Ease of Use, whereas Perceived Usefulness had no impact on intention to use the SAE
Level 3. The results of this study will be able to guide the forming of future policies that aim at
promoting the use of AVs and helping technology developers create systems to better meet the
needs of users in developing nations. |
| Keyword |
level 3 automation vehicles; psychological factors; trust; perceived risks; environmental concerns; developing countries |
| Author |
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| Reviewing Status |
มีผู้ประเมินอิสระ |
| Status |
ตีพิมพ์แล้ว |
| Level of Publication |
นานาชาติ |
| citation |
false |
| Part of thesis |
true |
| Attach file |
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| Citation |
0
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Journal Publication
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