IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i2p808-d1320996.html
   My bibliography  Save this article

The Sustainability and Energy Efficiency of Connected and Automated Vehicles from the Perspective of Public Acceptance towards Platoon Control

Author

Listed:
  • Honggang Li

    (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China)

  • Jiankai Li

    (Aberdeen Institute of Data Science and Artificial Intelligence, South China Normal University, Foshan 528225, China)

  • Hongtao Li

    (School of Civil Engineering and Transportation, Northeast Forestry University, Harbin 150040, China)

  • Jiangwei Chu

    (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China)

  • Qiqi Miao

    (School of Economics and Management, Dalian University of Technology, Dalian 116024, China)

Abstract

This study examines the public acceptance of platoon control for connected and automated vehicles (CAVs) and analyzes it from a sustainability perspective. A questionnaire survey was conducted targeting a diverse social group to collect data on public attitudes, acceptability, and factors related to the environment, social responsibility, personal economy, and behavior. Factor analysis was then performed to reduce these data into three factors: “attitudes and acceptance”, “environment and social responsibility”, and “personal economy and behavior”. Further, multiple regression analysis was employed to investigate the relationship between these three factors and the willingness to accept platooning control, as well as the willingness to actively adopt it. The findings indicate that the ”attitude and acceptance” factor significantly influences the public’s acceptance of platoon control. Moreover, the ”environment and social responsibility” and ”personal economy and behavior” factors also have a certain influence on decision-making. This study not only contributes to understanding public attitudes towards CAVs’ platoon control but also explores how to promote the development of sustainable intelligent transportation systems. By gaining a better understanding of public attitudes, policymakers and relevant stakeholders can take measures to enhance the acceptance of CAVs, thereby driving the sustainable development of transportation systems.

Suggested Citation

  • Honggang Li & Jiankai Li & Hongtao Li & Jiangwei Chu & Qiqi Miao, 2024. "The Sustainability and Energy Efficiency of Connected and Automated Vehicles from the Perspective of Public Acceptance towards Platoon Control," Sustainability, MDPI, vol. 16(2), pages 1-14, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:808-:d:1320996
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/2/808/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/2/808/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Zhao & Jin, Wen & Jiang, Hai & Xie, Qianyan & Shen, Wei & Han, Weijian, 2017. "Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey," Transport Policy, Elsevier, vol. 54(C), pages 11-20.
    2. Linhong Wang & Hongtao Li & Mengzhu Guo & Yixin Chen, 2022. "The Effects of Dynamic Complexity on Drivers’ Secondary Task Scanning Behavior under a Car-Following Scenario," IJERPH, MDPI, vol. 19(3), pages 1-14, February.
    Full references (including those not matched with items on IDEAS)

    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. Nazari, Fatemeh & Mohammadian, Abolfazl (Kouros), 2023. "Modeling vehicle-miles of travel accounting for latent heterogeneity," Transport Policy, Elsevier, vol. 133(C), pages 45-53.
    2. Jie Ma & Xin Ye & Cheng Shi, 2018. "Development of Multivariate Ordered Probit Model to Understand Household Vehicle Ownership Behavior in Xiaoshan District of Hangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
    3. Yang Li & Lu Miao & Ying Chen & Yike Hu, 2019. "Exploration of Sustainable Urban Transportation Development in China through the Forecast of Private Vehicle Ownership," Sustainability, MDPI, vol. 11(16), pages 1-18, August.
    4. Mariusz Kostrzewski & Magdalena Marczewska & Lorna Uden, 2023. "The Internet of Vehicles and Sustainability—Reflections on Environmental, Social, and Corporate Governance," Energies, MDPI, vol. 16(7), pages 1-20, April.
    5. Kun Yang & Yan Shi & Yi Luo & Dian Xia & Xiaolu Zhou, 2018. "The Spatiotemporal Characteristics of Chinese Civil Vehicles’ Possession in the Context of Rapid Economic Development from 1996 to 2015," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    6. Wenlong Liu & Hongtao Li & Hui Zhang, 2022. "Dangerous Driving Behavior Recognition Based on Hand Trajectory," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    7. Grigorios Fountas & Ya-Yen Sun & Ortzi Akizu-Gardoki & Francesco Pomponi, 2020. "How Do People Move Around? National Data on Transport Modal Shares for 131 Countries," World, MDPI, vol. 1(1), pages 1-10, June.

    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:16:y:2024:i:2:p:808-:d:1320996. 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.