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A multinational empirical study of perceived cyber barriers to automated vehicles deployment

The digital transformation of Automated Vehicles (AVs) has raised concerns in the cyber realm among prospective AV consumers. However, there is a dearth of empirical research on how cyber obstacles may impact the operation of AVs. To address this knowledge gap, this study examines the six critical c...

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Autores principales: Khan, Shah Khalid, Shiwakoti, Nirajan, Stasinopoulos, Peter, Warren, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892035/
https://www.ncbi.nlm.nih.gov/pubmed/36725959
http://dx.doi.org/10.1038/s41598-023-29018-9
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author Khan, Shah Khalid
Shiwakoti, Nirajan
Stasinopoulos, Peter
Warren, Matthew
author_facet Khan, Shah Khalid
Shiwakoti, Nirajan
Stasinopoulos, Peter
Warren, Matthew
author_sort Khan, Shah Khalid
collection PubMed
description The digital transformation of Automated Vehicles (AVs) has raised concerns in the cyber realm among prospective AV consumers. However, there is a dearth of empirical research on how cyber obstacles may impact the operation of AVs. To address this knowledge gap, this study examines the six critical cyber impediments (data privacy, AV connectivity, ITS infrastructure, lack of cybersecurity regulations, AV cybersecurity understanding, and AV cyber-insurance) that influence the deployment of AVs. The impact of gender, age, income level, and individual AV and cybersecurity knowledge on these obstacles are statistically assessed using a sample of 2061 adults from the United States, the United Kingdom, New Zealand, and Australia. The research revealed intriguing empirical findings on all cyber barriers in the form of a trichotomy: participants' education level, understanding of AVs, and cybersecurity knowledge. As education levels increase, the significance of a cyber barrier to AV deployment decreases; however, as AV comprehension and cybersecurity knowledge increase, the perception of a cyber barrier becomes significantly more important. In addition, the study demonstrates differences in perceptions of cyber barriers and AV deployments based on gender, age, income, and geographic location. This study's findings on cyber barriers and AV deployment have implications for academia and industry.
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spelling pubmed-98920352023-02-03 A multinational empirical study of perceived cyber barriers to automated vehicles deployment Khan, Shah Khalid Shiwakoti, Nirajan Stasinopoulos, Peter Warren, Matthew Sci Rep Article The digital transformation of Automated Vehicles (AVs) has raised concerns in the cyber realm among prospective AV consumers. However, there is a dearth of empirical research on how cyber obstacles may impact the operation of AVs. To address this knowledge gap, this study examines the six critical cyber impediments (data privacy, AV connectivity, ITS infrastructure, lack of cybersecurity regulations, AV cybersecurity understanding, and AV cyber-insurance) that influence the deployment of AVs. The impact of gender, age, income level, and individual AV and cybersecurity knowledge on these obstacles are statistically assessed using a sample of 2061 adults from the United States, the United Kingdom, New Zealand, and Australia. The research revealed intriguing empirical findings on all cyber barriers in the form of a trichotomy: participants' education level, understanding of AVs, and cybersecurity knowledge. As education levels increase, the significance of a cyber barrier to AV deployment decreases; however, as AV comprehension and cybersecurity knowledge increase, the perception of a cyber barrier becomes significantly more important. In addition, the study demonstrates differences in perceptions of cyber barriers and AV deployments based on gender, age, income, and geographic location. This study's findings on cyber barriers and AV deployment have implications for academia and industry. Nature Publishing Group UK 2023-02-01 /pmc/articles/PMC9892035/ /pubmed/36725959 http://dx.doi.org/10.1038/s41598-023-29018-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Khan, Shah Khalid
Shiwakoti, Nirajan
Stasinopoulos, Peter
Warren, Matthew
A multinational empirical study of perceived cyber barriers to automated vehicles deployment
title A multinational empirical study of perceived cyber barriers to automated vehicles deployment
title_full A multinational empirical study of perceived cyber barriers to automated vehicles deployment
title_fullStr A multinational empirical study of perceived cyber barriers to automated vehicles deployment
title_full_unstemmed A multinational empirical study of perceived cyber barriers to automated vehicles deployment
title_short A multinational empirical study of perceived cyber barriers to automated vehicles deployment
title_sort multinational empirical study of perceived cyber barriers to automated vehicles deployment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9892035/
https://www.ncbi.nlm.nih.gov/pubmed/36725959
http://dx.doi.org/10.1038/s41598-023-29018-9
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