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

Zehua Li, Jiaran Niu, Zhenzhou Li, Yukun Chen, Yang Wang and Bin Jiang ()
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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

Sustainability, 2022, vol. 14, issue 18, 1-14

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.

Keywords: automated driving technology; self-driving buses; individual differences; acceptance; one-way analysis of variance (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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