Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane.
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| Title: | Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane. |
|---|---|
| Authors: | Butler, Luke1 (AUTHOR) luke.butler@hdr.qut.edu.au, Yigitcanlar, Tan1 (AUTHOR) tan.yigitcanlar@qut.edu.au, Paz, Alexander1,2 (AUTHOR) alexander.paz@qut.edu.au |
| Source: | Transportation Research: Part F. Oct2021, Vol. 82, p256-267. 12p. |
| Subjects: | Middle-aged persons, Logistic regression analysis, Autonomous vehicles, Driverless cars, Awareness |
| Geographic Terms: | Brisbane (Qld.) |
| Abstract: | • Investigates factors influencing public awareness of autonomous vehicles (AVs). • Discloses awareness is correlated with age, income, disability, public transport, and safety. • Reveals awareness is negatively correlated with increase in the number of household vehicles. • Provides insights into public awareness towards the potential benefits of AVs. • Emphasises opportunities and challenges associated with the public's expectations from AVs. Growing concerns, regarding transport disadvantage and increased socioeconomic disparities, demand innovative ways to improve equity and make transportation systems smarter. One of the most anticipated developments within the field of smart mobility is driving automation systems. Autonomous vehicles (AVs) have the potential to improve accessibility, affordability, safety and efficiency of transport systems, but come with risks including the intensification of private vehicle travel. Understanding public awareness is an important step to determine whether motivation and intention to use AVs will impact on its potential. This paper aims to investigate factors influencing public awareness of AVs as a solution to transport disadvantage. The study applies an ordinal logistic regression analysis to analyse survey data collected from the residents of Brisbane (Australia). Our findings reveal that awareness is positively correlated within young and middle-aged adults, low-income residents, disability, public transport users, and those who feel unsafe on public transport, while an increase in the number of household vehicles is negatively correlated. The study provides insights into public awareness towards the potential benefits of AVs, and highlights potential opportunities and challenges associated with these expectations. [ABSTRACT FROM AUTHOR] |
| Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 153161443 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Butler%2C+Luke%22">Butler, Luke</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> luke.butler@hdr.qut.edu.au</i><br /><searchLink fieldCode="AR" term="%22Yigitcanlar%2C+Tan%22">Yigitcanlar, Tan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tan.yigitcanlar@qut.edu.au</i><br /><searchLink fieldCode="AR" term="%22Paz%2C+Alexander%22">Paz, Alexander</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> alexander.paz@qut.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Transportation+Research%3A+Part+F%22">Transportation Research: Part F</searchLink>. Oct2021, Vol. 82, p256-267. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Middle-aged+persons%22">Middle-aged persons</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+vehicles%22">Autonomous vehicles</searchLink><br /><searchLink fieldCode="DE" term="%22Driverless+cars%22">Driverless cars</searchLink><br /><searchLink fieldCode="DE" term="%22Awareness%22">Awareness</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Brisbane+%28Qld%2E%29%22">Brisbane (Qld.)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Investigates factors influencing public awareness of autonomous vehicles (AVs). • Discloses awareness is correlated with age, income, disability, public transport, and safety. • Reveals awareness is negatively correlated with increase in the number of household vehicles. • Provides insights into public awareness towards the potential benefits of AVs. • Emphasises opportunities and challenges associated with the public's expectations from AVs. Growing concerns, regarding transport disadvantage and increased socioeconomic disparities, demand innovative ways to improve equity and make transportation systems smarter. One of the most anticipated developments within the field of smart mobility is driving automation systems. Autonomous vehicles (AVs) have the potential to improve accessibility, affordability, safety and efficiency of transport systems, but come with risks including the intensification of private vehicle travel. Understanding public awareness is an important step to determine whether motivation and intention to use AVs will impact on its potential. This paper aims to investigate factors influencing public awareness of AVs as a solution to transport disadvantage. The study applies an ordinal logistic regression analysis to analyse survey data collected from the residents of Brisbane (Australia). Our findings reveal that awareness is positively correlated within young and middle-aged adults, low-income residents, disability, public transport users, and those who feel unsafe on public transport, while an increase in the number of household vehicles is negatively correlated. The study provides insights into public awareness towards the potential benefits of AVs, and highlights potential opportunities and challenges associated with these expectations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Transportation Research: Part F is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.trf.2021.08.016 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 256 Subjects: – SubjectFull: Middle-aged persons Type: general – SubjectFull: Logistic regression analysis Type: general – SubjectFull: Autonomous vehicles Type: general – SubjectFull: Driverless cars Type: general – SubjectFull: Awareness Type: general – SubjectFull: Brisbane (Qld.) Type: general Titles: – TitleFull: Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Butler, Luke – PersonEntity: Name: NameFull: Yigitcanlar, Tan – PersonEntity: Name: NameFull: Paz, Alexander IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 13698478 Numbering: – Type: volume Value: 82 Titles: – TitleFull: Transportation Research: Part F Type: main |
| ResultId | 1 |