Understanding Intention to Use Conditionally Automated Vehicles in Thailand, Based on an Extended Technology Acceptance Model

Phakphum Sakuljao, Wichuda Satiennam (), Thaned Satiennam, Nopadon Kronprasert and Sittha Jaensirisak
Additional contact information
Phakphum Sakuljao: Department of Civil Engineering, Khon Kaen University, 123 Mitrapap Road, Nai Muang Sub-District, Muang District, Khon Kaen 40002, Thailand
Wichuda Satiennam: Department of Civil Engineering, Khon Kaen University, 123 Mitrapap Road, Nai Muang Sub-District, Muang District, Khon Kaen 40002, Thailand
Thaned Satiennam: Department of Civil Engineering, Khon Kaen University, 123 Mitrapap Road, Nai Muang Sub-District, Muang District, Khon Kaen 40002, Thailand
Nopadon Kronprasert: Excellence Center in Infrastructure Technology and Transportation Engineering, Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Chiang Mai 50200, Thailand
Sittha Jaensirisak: Department of Civil Engineering, Ubon Ratchathani University, 85 Sathonlamark Road, Warin Chamrap District, Ubon Ratchathani 34190, Thailand

Sustainability, 2023, vol. 15, issue 3, 1-15

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.

Keywords: level 3 automation vehicles; psychological factors; trust; perceived risks; environmental concerns; developing countries (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/3/1868/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/3/1868/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:3:p:1868-:d:1040217

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().