Factors influencing public awareness of autonomous vehicles: Empirical evidence from Brisbane.

Saved in:
Bibliographic Details
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
Header DbId: egs
DbLabel: Engineering Source
An: 153161443
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=153161443
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