IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11825-d1208303.html
   My bibliography  Save this article

A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM

Author

Listed:
  • Yang Liao

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

  • Hanying Guo

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

  • Xinju Liu

    (Department of Automobile and Transportation, Xihua University, Chengdu 610039, China)

Abstract

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.

Suggested Citation

  • Yang Liao & Hanying Guo & Xinju Liu, 2023. "A Study of Young People’s Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11825-:d:1208303
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11825/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/15/11825/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Peng Jing & Hao Huang & Bin Ran & Fengping Zhan & Yuji Shi, 2019. "Exploring the Factors Affecting Mode Choice Intention of Autonomous Vehicle Based on an Extended Theory of Planned Behavior—A Case Study in China," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    2. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    3. Kum Fai Yuen & Do Thi Khanh Huyen & Xueqin Wang & Guanqiu Qi, 2020. "Factors Influencing the Adoption of Shared Autonomous Vehicles," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    4. Rijsdijk, S.A. & Hultink, E.J. & Diamantopoulos, A., 2007. "Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction," ERIM Report Series Research in Management ERS-2007-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yining Suo & Chenglong Li & Li Tang & Longyang Huang, 2024. "Exploring AAM Acceptance in Tourism: Environmental Consciousness’s Influence on Hedonic Motivation and Intention to Use," Sustainability, MDPI, vol. 16(8), pages 1-22, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wei Luo & Silong Wei & Yi Wang & Pengpeng Jiao, 2023. "People’s Intentions to Use Shared Autonomous Vehicles: An Extended Theory of Planned Behavior Model," Sustainability, MDPI, vol. 15(16), pages 1-17, August.
    2. Caroline Ardelet & Nathalie Veg-Sala & Alain Goudey & Marie Haikel-Elsabeh, 2017. "Between fear and desire for smart products: toward an understanding of consumers ambivalence [Entre crainte et désir pour les objets connectés : comprendre l'ambivalence des consommateurs]," Post-Print hal-01570286, HAL.
    3. Shyue Chuan Chong & Foong Yee Tan & Pei Yew Mah & Choon Wei Low, 2020. "Consumers¡¯ Purchase Intention Toward Ergonomic Footwear in Malaysia," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(2), pages 88-96, April.
    4. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    5. Tuğba Yeğin & Muhammad Ikram, 2022. "Analysis of Consumers’ Electric Vehicle Purchase Intentions: An Expansion of the Theory of Planned Behavior," Sustainability, MDPI, vol. 14(19), pages 1-27, September.
    6. Yueqi Mao & Qiang Mei & Peng Jing & Ye Zha & Ying Xue & Jiahui Huang & Danning Shao & Pan Luo, 2022. "Factors Affecting the Parental Intention of Using AVs to Escort Children: An Integrated SEM–Hybrid Choice Model Approach," Sustainability, MDPI, vol. 14(18), pages 1-21, September.
    7. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    8. M. Eugenia López-Lambas & Andrea Alonso, 2019. "The Driverless Bus: An Analysis of Public Perceptions and Acceptability," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    9. Zhiwei Liu & Jianrong Liu, 2023. "Shared Autonomous Vehicles as Last-Mile Public Transport of Metro Trips," Sustainability, MDPI, vol. 15(19), pages 1-15, October.
    10. Kum Fai Yuen & Do Thi Khanh Huyen & Xueqin Wang & Guanqiu Qi, 2020. "Factors Influencing the Adoption of Shared Autonomous Vehicles," IJERPH, MDPI, vol. 17(13), pages 1-17, July.
    11. Sunyoung Hlee & Jimin Lee & Daeseop Moon & Changsok Yoo, 0. "The acceptance of ‘intelligent trade shows’: Visitors’ evaluations of IS innovation," Information Systems Frontiers, Springer, vol. 0, pages 1-13.
    12. Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
    13. Yu, Feifei & Wang, Liting & Li, Xiaotong, 2020. "The effects of government subsidies on new energy vehicle enterprises: The moderating role of intelligent transformation," Energy Policy, Elsevier, vol. 141(C).
    14. Lin, Tung-Ching & Huang, Shiu-Li & Hsu, Chieh-Ju, 2015. "A dual-factor model of loyalty to IT product – The case of smartphones," International Journal of Information Management, Elsevier, vol. 35(2), pages 215-228.
    15. Lucia-Palacios, Laura & Pérez-López, Raúl, 2021. "Effects of Home Voice Assistants' Autonomy on Instrusiveness and Usefulness: Direct, Indirect, and Moderating Effects of Interactivity," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 41-54.
    16. Kum Fai Yuen & Grace Chua & Xueqin Wang & Fei Ma & Kevin X. Li, 2020. "Understanding Public Acceptance of Autonomous Vehicles Using the Theory of Planned Behaviour," IJERPH, MDPI, vol. 17(12), pages 1-19, June.
    17. Herbert Dawid & Reinhold Decker & Thomas Hermann & Hermann Jahnke & Wilhelm Klat & Rolf König & Christian Stummer, 2017. "Management science in the era of smart consumer products: challenges and research perspectives," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 203-230, March.
    18. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
    19. Chen, Qian & Gong, Yeming & Lu, Yaobin & Tang, Jing, 2022. "Classifying and measuring the service quality of AI chatbot in frontline service," Journal of Business Research, Elsevier, vol. 145(C), pages 552-568.
    20. Guo, Yuntao & Souders, Dustin & Labi, Samuel & Peeta, Srinivas & Benedyk, Irina & Li, Yujie, 2021. "Paving the way for autonomous Vehicles: Understanding autonomous vehicle adoption and vehicle fuel choice under user heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 364-398.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11825-:d:1208303. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.