The effect of ride experience on changing opinions toward autonomous vehicle safety
Autonomous vehicles (AVs) are a promising emerging technology that is likely to be widely deployed in the near future. People's perception on AV safety is critical to the pace and success of deploying the AV technology. Existing studies found that people's perceptions on emerging technolog...
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| Published in | Communications in transportation research Vol. 1; p. 100003 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.12.2021
Elsevier |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Autonomous vehicles (AVs) are a promising emerging technology that is likely to be widely deployed in the near future. People's perception on AV safety is critical to the pace and success of deploying the AV technology. Existing studies found that people's perceptions on emerging technologies might change as additional information was provided. To investigate this phenomenon in the AV technology context, this paper conducted real-world AV experiments and collected factors that may associate with people's initial opinions without any AV riding experience and opinion change after a successful AV ride. A number of ordered probit and binary probit models considering data heterogeneity were employed to estimate the impact of these factors on people's initial opinions and opinion change. The study found that people's initial opinions toward AV safety are significantly associated with people's age, personal income, monthly fuel cost, education experience, and previous AV experience. Further, the factors dominating people's opinion change after a successful AV ride include people's age, personal income, monthly fuel cost, daily commute time, driving alone indicator, willingness to pay for AV technology, and previous AV experience. These results provide important references for future implementations of the AV technology. Additionally, based on the inconsistent effects for variables across different models, suggestions for future transportation survey designs are provided. |
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| AbstractList | Autonomous vehicles (AVs) are a promising emerging technology that is likely to be widely deployed in the near future. People's perception on AV safety is critical to the pace and success of deploying the AV technology. Existing studies found that people's perceptions on emerging technologies might change as additional information was provided. To investigate this phenomenon in the AV technology context, this paper conducted real-world AV experiments and collected factors that may associate with people's initial opinions without any AV riding experience and opinion change after a successful AV ride. A number of ordered probit and binary probit models considering data heterogeneity were employed to estimate the impact of these factors on people's initial opinions and opinion change. The study found that people's initial opinions toward AV safety are significantly associated with people's age, personal income, monthly fuel cost, education experience, and previous AV experience. Further, the factors dominating people's opinion change after a successful AV ride include people's age, personal income, monthly fuel cost, daily commute time, driving alone indicator, willingness to pay for AV technology, and previous AV experience. These results provide important references for future implementations of the AV technology. Additionally, based on the inconsistent effects for variables across different models, suggestions for future transportation survey designs are provided. |
| ArticleNumber | 100003 |
| Author | Shi, Xiaowei Li, Xiaopeng Pei, Mingyang Wang, Zhen |
| Author_xml | – sequence: 1 givenname: Xiaowei surname: Shi fullname: Shi, Xiaowei organization: Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL, 33620, USA – sequence: 2 givenname: Zhen surname: Wang fullname: Wang, Zhen organization: School of Information Engineering, Chang'an University, Shaanxi, China – sequence: 3 givenname: Xiaopeng surname: Li fullname: Li, Xiaopeng email: xiaopengli@usf.edu organization: Department of Civil and Environmental Engineering, University of South Florida, Tampa, FL, 33620, USA – sequence: 4 givenname: Mingyang surname: Pei fullname: Pei, Mingyang organization: Automatic Control Group and Urban Mobility Systems Group, Chalmers University of Technology, Gothenburg, SE-41296, Sweden |
| BackLink | https://research.chalmers.se/publication/530967$$DView record from Swedish Publication Index |
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| Keywords | Technology acceptance Safety Autonomous vehicle Ordered probit model Binary probit model |
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| Title | The effect of ride experience on changing opinions toward autonomous vehicle safety |
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