Cited by 22Transportation and Mobility InnovationsOlder Adults Driving StudiesUrban Transport and Accessibility

Considering the wellbeing implications for an ageing population of a transition to automated vehicles

Fitt, Helen, Curl, Angela, Dionisio, Maria Rita, Ahuriri-Driscoll, Annabel, Pawson, Eric·2019·Research in Transportation Business & Management

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Crossref · 10.1016/j.rtbm.2019.100382

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References 105 · Cited by 22

Authors
Fitt, H., Curl, A., Dionisio, M. R., Ahuriri-Driscoll, A., & Pawson, E.
Affiliations
  • Lincoln University (NZ)
  • University of Otago (NZ)
  • University of Canterbury (NZ)
Corresponding author
Fitt, Helen
Venue
Research in Transportation Business & Management
Publisher
Elsevier BV
Published
2019-03
Volume
30
Pages
100382
ISSN
2210-5395 (ISSN-L)
OpenAlex
W2986855082
Cited by
22
References
105
Citations by year
2026: 2 · 2025: 5 · 2024: 2 · 2023: 4 · 2022: 2 · 2021: 5 · 2020: 2
FWCI
1.03
Type
journal article
Language
en
Open access
closed
Locations
  • Research in Transportation Business & Management (publishedVersion)
  • Lincoln University Research Archive (Lincoln University) (submittedVersion)
Funders
Ministry of Business, Innovation and Employment
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Older Adults Driving Studies
  • Social Sciences › Transportation › Urban Transport and Accessibility
Keywords
autonomous vehicles, older adults, population aging, well-being, mobility, car dependence, travel behavior, urban form, transport accessibility, transport policy, New Zealand, transport management

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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