An empirical investigation on consumers’ intentions towards autonomous driving

•PEU seems to have the smaller impact on intensions of consumers to have or use AVs.•PU is the strongest predictor on behavioral intentions to have or use AVs.•62% of respondents considered themselves, late adopters on the technology adoption curve.•44% of respondents indicated that if they were to...

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Veröffentlicht in:Transportation research. Part C, Emerging technologies Jg. 95; S. 773 - 784
Hauptverfasser: Panagiotopoulos, Ilias, Dimitrakopoulos, George
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.10.2018
Schlagworte:
Autonomous driving
Consumers’ perceptions
Intelligent transport systems
Technology acceptance modelling
Trust in automation
Usage intentions
Trust in automation
Intelligent transport systems
Autonomous driving
Usage intentions
Technology acceptance modelling
Consumers’ perceptions
ISSN:0968-090X, 1879-2359
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Zusammenfassung:•PEU seems to have the smaller impact on intensions of consumers to have or use AVs.•PU is the strongest predictor on behavioral intentions to have or use AVs.•62% of respondents considered themselves, late adopters on the technology adoption curve.•44% of respondents indicated that if they were to use AVs they would be feeling safer.•47% of respondents stated neutral against system security and data privacy concerns on AVs. Major steps towards implementation of autonomous and connected transport are being taken nowadays. The trend of automation technology being used in vehicles by the most important vehicle manufacturing industries is expected to move closer to high or fully Autonomous Vehicles (AVs) through technological advancements in sectors of robotics and artificial intelligence. Vehicles with autonomous driving capabilities are planning to be available on market, in full scale, in the next years. In the longer term substantial benefits are mainly expected for accessibility to transport, safety, traffic flow, emissions, fuel use and comfort. All these potential societal benefits will not be achieved unless AVs are accepted and used by a critical mass of people. Addressing these challenges, this paper: (a) proposes a technology acceptance modelling process by extending the original Technology Acceptance Model (TAM) to explain and predict consumers’ intensions towards AVs, (b) based on the proposed TAM-extended framework, a 30-question survey was conducted in order to investigate the factors influencing consumers’ intensions to use and accept AVs. Results show that the constructs of perceived usefulness, perceived ease to use, perceived trust and social influence, are all useful predictors of behavioral intentions to have or use AVs, with perceived usefulness having the strongest impact. The insights derived from this study could significantly contribute to ongoing research related to technology acceptance of AVs and are expected to allow automobile industries to improve their design and technology.
ISSN:0968-090X
1879-2359
DOI:10.1016/j.trc.2018.08.013