Literature DB >> 29407669

Prevalence, attitudes, and knowledge of in-vehicle technologies and vehicle adaptations among older drivers.

David W Eby1, Lisa J Molnar2, Jennifer S Zakrajsek2, Lindsay H Ryan3, Nicole Zanier2, Renée M St Louis4, Sergiu C Stanciu2, David LeBlanc5, Lidia P Kostyniuk2, Jacqui Smith3, Raymond Yung6, Linda Nyquist6, Carolyn DiGuiseppi7, Guohua Li8, Thelma J Mielenz9, David Strogatz10.   

Abstract

The purpose of the present study was to gain a better understanding of the types of in-vehicle technologies being used by older drivers as well as older drivers' use, learning, and perceptions of safety related to these technologies among a large cohort of older drivers at multiple sites in the United States. A secondary purpose was to explore the prevalence of aftermarket vehicle adaptations and how older adults go about making adaptations and how they learn to use them. The study utilized baseline questionnaire data from 2990 participants from the Longitudinal Research on Aging Drivers (LongROAD) study. Fifteen in-vehicle technologies and 12 aftermarket vehicle adaptations were investigated. Overall, 57.2% of participants had at least one advanced technology in their primary vehicle. The number of technologies in a vehicle was significantly related to being male, having a higher income, and having a higher education level. The majority of respondents learned to use these technologies on their own, with "figured-it-out-myself" being reported by 25%-75% of respondents across the technologies. Overall, technologies were always used about 43% of the time, with wide variability among the technologies. Across all technologies, nearly 70% of respondents who had these technologies believed that they made them a safer driver. With regard to vehicle adaptations, less than 9% of respondents had at least one vehicle adaptation present, with the number of adaptations per vehicle ranging from 0 to 4. A large majority did not work with a professional to make or learn about the aftermarket vehicle adaptation.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aging; Mobility; Traffic safety

Mesh:

Year:  2018        PMID: 29407669     DOI: 10.1016/j.aap.2018.01.022

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  Preferred Sources of Information, Knowledge, and Acceptance of Automated Vehicle Systems: Effects of Gender and Age.

Authors:  Pamela M Greenwood; Carryl L Baldwin
Journal:  Front Psychol       Date:  2022-05-23

2.  The Relationship between in-Vehicle Technologies and Self-Regulation among Older Drivers.

Authors:  Austin M Svancara; Leon Villavicencio; Tara Kelley-Baker; William J Horrey; Lisa J Molnar; David W Eby; Thelma J Mielenz; Linda Hill; Carolyn DiGuiseppi; David Strogatz; Guohua Li
Journal:  Geriatrics (Basel)       Date:  2020-04-16

3.  Associations of Self-Care Health Behaviors With Driving Cessation Among Older Drivers.

Authors:  Thelma J Mielenz; Adam M Whalen; Qian-Li Xue; Howard Andrews; Lisa J Molnar; David W Eby; Guohua Li
Journal:  Front Public Health       Date:  2022-03-24
  3 in total

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