What are the factors determining user intentions to use AV while impaired?
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F21%3AN0000108" target="_blank" >RIV/44994575:_____/21:N0000108 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/abs/pii/S1369847821001844?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/abs/pii/S1369847821001844?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.trf.2021.08.008" target="_blank" >10.1016/j.trf.2021.08.008</a>
Alternative languages
Result language
angličtina
Original language name
What are the factors determining user intentions to use AV while impaired?
Original language description
In this study we employ Integrated Choice Latent Variable (ICLV) framework to model public’s intention of using Autonomous Vehicles (AVs) while impaired under the influence of alcohol, medicine, or fatigue. We identify five latent constructs from psychometric indicators that define respondent’s perception and attitudes towards AVs which are i) perceived benefits, ii) perceived risks, iii) enjoy driving, iv) wheels public transport attitude, and v) rails public transport attitude. We use these latent variables along with explanatory variables to study user intentions regarding delegation of vehicle control from human driving to autonomous driving. The study uses survey data collected from 1,065 Czech residents between 2017 and 2018. Our findings indicate that user intentions are primarily defined by attitudes rather than socio-demographic attributes. However, inclusion of both types of variables are crucial in evaluating user intentions. Despite positive outlook towards AVs, people were found to be reluctant in using AVs while impaired which can be attributed to distrust towards the technology. Our analysis shows that with appropriate efforts from policy makers, public’s attitude can be changed to promote adoption. The efforts will have to centered towards building positive attitudes (such as perceived benefits) and diminishing existing negative attitudes (such as perceived risks).
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50103 - Cognitive sciences
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Transportation Research Part F: Psychology and Behaviour
ISSN
1369-8478
e-ISSN
—
Volume of the periodical
—
Issue of the periodical within the volume
82
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
238–255
UT code for WoS article
000702914400001
EID of the result in the Scopus database
—