Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model
Driverless buses are expected to play a vital role in the future, and better public acceptance will provide a social foundation for its development. In this study, two new variables, personal innovativeness (PI) and perceived risk (PR), were incorporated into the integrated technology acceptance mod...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2020/4318182 |
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| _version_ | 1832560043534319616 |
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| author | Jian Chen Rui Li Mi Gan Zhiyan Fu Fatao Yuan |
| author_facet | Jian Chen Rui Li Mi Gan Zhiyan Fu Fatao Yuan |
| author_sort | Jian Chen |
| collection | DOAJ |
| description | Driverless buses are expected to play a vital role in the future, and better public acceptance will provide a social foundation for its development. In this study, two new variables, personal innovativeness (PI) and perceived risk (PR), were incorporated into the integrated technology acceptance model (UTAUT, unified theory of acceptance and use of technology) to construct an extended model, which was then applied to explore the influencing factors for the public acceptance of driverless buses. The quality of this extended model was verified through survey data collected in Chongqing, China. The structural equation modeling (SEM) method was adopted to quantitatively describe the impact of each factor on acceptance intention (AI) as well as the mutual influence relationships between the factors. The moderating effects of demographic attributes (gender, age, and education level) on each factor in the model were also analyzed. The results showed that PI and PR are the most critical factors that affect the public’s acceptance intention; effort expectancy (EE), performance expectancy (PE), social influence (SI), and facilitating condition (FC) can also determine the acceptance intention to a certain extent; gender, age, and education level have exhibited significantly different moderating effects on the influencing factors. The explanatory power of the current research model for acceptance intention has reached 48%. This study has confirmed the applicability of the extended UTAUT model to the research of driverless bus acceptance and the research outcomes can serve as a reference basis for improving the service quality of driverless buses in China. |
| format | Article |
| id | doaj-art-7e97b74e4cc443db814eea0f5286487b |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-7e97b74e4cc443db814eea0f5286487b2025-02-03T01:28:29ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2020-01-01202010.1155/2020/43181824318182Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT ModelJian Chen0Rui Li1Mi Gan2Zhiyan Fu3Fatao Yuan4College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, ChinaCollege of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan 610031, ChinaSchool of Economics and Business Administration, Chongqing University of Education, Chongqing 400067, ChinaCollege of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, ChinaDriverless buses are expected to play a vital role in the future, and better public acceptance will provide a social foundation for its development. In this study, two new variables, personal innovativeness (PI) and perceived risk (PR), were incorporated into the integrated technology acceptance model (UTAUT, unified theory of acceptance and use of technology) to construct an extended model, which was then applied to explore the influencing factors for the public acceptance of driverless buses. The quality of this extended model was verified through survey data collected in Chongqing, China. The structural equation modeling (SEM) method was adopted to quantitatively describe the impact of each factor on acceptance intention (AI) as well as the mutual influence relationships between the factors. The moderating effects of demographic attributes (gender, age, and education level) on each factor in the model were also analyzed. The results showed that PI and PR are the most critical factors that affect the public’s acceptance intention; effort expectancy (EE), performance expectancy (PE), social influence (SI), and facilitating condition (FC) can also determine the acceptance intention to a certain extent; gender, age, and education level have exhibited significantly different moderating effects on the influencing factors. The explanatory power of the current research model for acceptance intention has reached 48%. This study has confirmed the applicability of the extended UTAUT model to the research of driverless bus acceptance and the research outcomes can serve as a reference basis for improving the service quality of driverless buses in China.http://dx.doi.org/10.1155/2020/4318182 |
| spellingShingle | Jian Chen Rui Li Mi Gan Zhiyan Fu Fatao Yuan Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model Discrete Dynamics in Nature and Society |
| title | Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model |
| title_full | Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model |
| title_fullStr | Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model |
| title_full_unstemmed | Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model |
| title_short | Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model |
| title_sort | public acceptance of driverless buses in china an empirical analysis based on an extended utaut model |
| url | http://dx.doi.org/10.1155/2020/4318182 |
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