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The Impact of Individual Differences on the Acceptance of Self-Driving Buses: A Case Study of Nanjing, China

Author

Listed:
  • Zehua Li

    (Department of Industrial Design, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Jiaran Niu

    (Department of Industrial Design, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Zhenzhou Li

    (Department of Industrial Design, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Yukun Chen

    (Department of Industrial Design, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Yang Wang

    (Department of Industrial Design, Nanjing University of Science and Technology, Nanjing 210094, China)

  • Bin Jiang

    (Department of Industrial Design, Nanjing University of Science and Technology, Nanjing 210094, China)

Abstract

As a new mode of public transportation, self-driving buses offer numerous benefits, including increased traffic safety, reduced energy consumption, optimized road-resource ratios, and improved traffic accessibility. However, there is still a need to fully understand the public’s perception of self-driving buses before they are widely used. As a result, we investigated whether individual differences (including demographic and personality traits) influence the acceptance of self-driving buses in Nanjing, China. A questionnaire was given to 453 people in Nanjing, and the sample data were analyzed using a one-way analysis of variance (ANOVA). According to the findings, gender, age, educational background, income level, frequency of use, and personality traits all had a significant impact on the acceptance of self-driving buses. This study’s findings provide empirical data to help guide future research on self-driving buses, as well as a theoretical foundation for self-driving-bus development and design.

Suggested Citation

  • Zehua Li & Jiaran Niu & Zhenzhou Li & Yukun Chen & Yang Wang & Bin Jiang, 2022. "The Impact of Individual Differences on the Acceptance of Self-Driving Buses: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11425-:d:912983
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    References listed on IDEAS

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