IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v161y2022icp170-185.html
   My bibliography  Save this article

Perceived usefulness and intentions to adopt autonomous vehicles

Author

Listed:
  • Xiao, Jingyi
  • Goulias, Konstadinos G.

Abstract

Understanding the mental process of public acceptance of autonomous vehicles (AVs) is important to the prediction and change of adoption behavior. We present a conceptual model to incorporate background factors such as demographic variables and travel behaviors attributes to the understanding of AV perceived usefulness and intention to adopt AVs. Using data from the 2019 California Vehicle Survey (CVS), we investigate the relationships between observed and latent variables with regard to AV acceptance via structural equation modeling (SEM) techniques. The results show that perceived usefulness is an important determinant of behavioral intention. Householders who are young, well-educated, and males perceive higher usefulness of AVs than other population segments. Households that have telecommuters, transit riders, transportation network company (TNC; e.g., Uber & Lyft) riders, and electric vehicles (EVs) owners, and households that own or plan to install photovoltaic cell (solar) panels also anticipate high benefits of AVs. Living or working at places with access to infrastructure such as EV charging stations and hydrogen fueling stations also add to positive perception of AVs’ advantages. Controlling for perceived usefulness, households having higher annual income and EVs express a stronger interest in buying an AV but not in ridesharing. Young educated households with more TNC riders show a greater propensity to AV sharing services but not for owning AVs. The proposed conceptual model can help pinpoint how background factors such as socioeconomic status affects behavioral intention via its antecedent cognitive construct more accurately to represent the mental process of intention formation. The practical discoveries can assist policymakers identifying population segments that will be the first adopters of this technology.

Suggested Citation

  • Xiao, Jingyi & Goulias, Konstadinos G., 2022. "Perceived usefulness and intentions to adopt autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 161(C), pages 170-185.
    • Handle: RePEc:eee:transa:v:161:y:2022:i:c:p:170-185
    DOI: 10.1016/j.tra.2022.05.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856422001227
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2022.05.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lavieri, Patrícia S. & Bhat, Chandra R., 2019. "Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 242-261.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Chen, Danjue & Ahn, Soyoung & Chitturi, Madhav & Noyce, David A., 2017. "Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles," Transportation Research Part B: Methodological, Elsevier, vol. 100(C), pages 196-221.
    4. Patt, Anthony & Aplyn, David & Weyrich, Philippe & van Vliet, Oscar, 2019. "Availability of private charging infrastructure influences readiness to buy electric cars," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 1-7.
    5. Tsouros, Ioannis & Polydoropoulou, Amalia, 2020. "Who will buy alternative fueled or automated vehicles: A modular, behavioral modeling approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 214-225.
    6. Fábio Duarte & Carlo Ratti, 2018. "The Impact of Autonomous Vehicles on Cities: A Review," Journal of Urban Technology, Taylor & Francis Journals, vol. 25(4), pages 3-18, October.
    7. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    8. Barbour, Natalia & Menon, Nikhil & Zhang, Yu & Mannering, Fred, 2019. "Shared automated vehicles: A statistical analysis of consumer use likelihoods and concerns," Transport Policy, Elsevier, vol. 80(C), pages 86-93.
    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. Charli Sitinjak & Zurinah Tahir & Mohd Ekhwan Toriman & Novel Lyndon & Vladimir Simic & Charles Musselwhite & Wiyanti Fransisca Simanullang & Firdaus Mohamad Hamzah, 2023. "Assessing Public Acceptance of Autonomous Vehicles for Smart and Sustainable Public Transportation in Urban Areas: A Case Study of Jakarta, Indonesia," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    2. Koh, Le Yi & Yuen, Kum Fai, 2023. "Public acceptance of autonomous vehicles: Examining the joint influence of perceived vehicle performance and intelligent in-vehicle interaction quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    3. Sharda, S. & Garikapati, V.M. & Goulias, K.G. & Reyna, J.L. & Sun, B. & Spurlock, C.A. & Needell, Z., 2024. "The electric vehicles-solar photovoltaics Nexus: Driving cross-sectoral adoption of sustainable technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    4. Md. Mokhlesur Rahman & Jean-Claude Thill, 2023. "What Drives People’s Willingness to Adopt Autonomous Vehicles? A Review of Internal and External Factors," Sustainability, MDPI, vol. 15(15), pages 1-29, July.

    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. Benoît Lécureux & Adrien Bonnet & Ouassim Manout & Jaâfar Berrada & Louafi Bouzouina, 2022. "Acceptance of Shared Autonomous Vehicles: A Literature Review of stated choice experiments," Working Papers hal-03814947, HAL.
    2. Dang Vu, Hoai Nam & Nielsen, Martin Reinhardt, 2022. "Understanding determinants of the intention to buy rhino horn in Vietnam through the Theory of Planned Behaviour and the Theory of Interpersonal Behaviour," Ecological Economics, Elsevier, vol. 195(C).
    3. Liliana Andrei & Oana Luca & Florian Gaman, 2022. "Insights from User Preferences on Automated Vehicles: Influence of Socio-Demographic Factors on Value of Time in Romania Case," Sustainability, MDPI, vol. 14(17), pages 1-22, August.
    4. Asmussen, Katherine E. & Mondal, Aupal & Bhat, Chandra R., 2022. "Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 156-179.
    5. 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.
    6. Cindy Helinski & Gerhard Schewe, 2022. "The Influence of Consumer Preferences and Perceived Benefits in the Context of B2C Fashion Renting Intentions of Young Women," Sustainability, MDPI, vol. 14(15), pages 1-25, August.
    7. Ziakopoulos, Apostolos & Oikonomou, Maria G. & Vlahogianni, Eleni I. & Yannis, George, 2021. "Quantifying the implementation impacts of a point to point automated urban shuttle service in a large-scale network," Transport Policy, Elsevier, vol. 114(C), pages 233-244.
    8. Alina Weber & Alexander Georg Büssing & Raphael Jarzyna & Florian Fiebelkorn, 2020. "Do German Student Biology Teachers Intend to Eat Sustainably? Extending the Theory of Planned Behavior with Nature Relatedness and Environmental Concern," Sustainability, MDPI, vol. 12(12), pages 1-19, June.
    9. Sara Manca & Ferdinando Fornara, 2019. "Attitude Toward Sustainable Transport as a Function of Source and Argument Reliability and Anticipated Emotions," Sustainability, MDPI, vol. 11(12), pages 1-10, June.
    10. Ian M. Katz & Rachel S. Rauvola & Cort W. Rudolph & Hannes Zacher, 2022. "Employee green behavior: A meta‐analysis," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1146-1157, September.
    11. Laura Heubeck & Franziska Hartwich & Franziska Bocklisch, 2023. "To Share or Not to Share—Expected Transportation Mode Changes Given Different Types of Fully Automated Vehicles," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    12. Sebastian Kurten & David Winant & Kathleen Beullens, 2021. "Mothers Matter: Using Regression Tree Algorithms to Predict Adolescents’ Sharing of Drunk References on Social Media," IJERPH, MDPI, vol. 18(21), pages 1-16, October.
    13. Tony Reyhanloo & Stefan Baumgärtner & Matthias Haeni & Simone Quatrini & Philippe Saner & Eike von Lindern, 2018. "Private-sector investor’s intention and motivation to invest in Land Degradation Neutrality," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-18, December.
    14. Jonathan Jan Pieters & Alinda Kokkinou & Ton Kollenburg, 2022. "Understanding Blockchain Technology Adoption by Non-experts: an Application of the Unified Theory of Acceptance and Use of Technology (UTAUT)," SN Operations Research Forum, Springer, vol. 3(1), pages 1-19, March.
    15. Mohamad Shatanawi & Mohammed Hajouj & Belal Edries & Ferenc Mészáros, 2022. "The Interrelationship between Road Pricing Acceptability and Self-Driving Vehicle Adoption: Insights from Four Countries," Sustainability, MDPI, vol. 14(19), pages 1-32, October.
    16. Elsie Yan & Rong-Wei Sun & Anise M. S. Wu & Daniel W. L. Lai & Vincent W. P. Lee, 2022. "The Impact of Pandemic-Related Life Stress on Internet Gaming: Social Cynicism and Gaming Motivation as Serial Mediators," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    17. Pettigrew, Simone & Booth, Leon & Farrar, Victoria & Brown, Julie & Karl, Charles & Godic, Branislava & Vidanaarachchi, Rajith & Thompson, Jason, 2024. "Public support for proposed government policies to optimise the social benefits of autonomous vehicles," Transport Policy, Elsevier, vol. 149(C), pages 264-270.
    18. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    19. Curtale, Riccardo & Liao, Feixiong & van der Waerden, Peter, 2021. "User acceptance of electric car-sharing services: The case of the Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 266-282.
    20. Bouscasse, H. & Bonnel, P., 2016. "Socio-psychological determinants of mode choice habits," Working Papers 2016-05, Grenoble Applied Economics Laboratory (GAEL).

    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:eee:transa:v:161:y:2022:i:c:p:170-185. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    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.