E-hail (rideshare) knowledge, use, reliance, and future expectations among older adults. (May 2018)

• Record Type: Journal Article
• Authors: Vivoda, Jonathon M.; Harmon, Annie C.; Babulal, Ganesh M.; Zikmund-Fisher, Brian J.
• Is Part Of: Transportation research. Volume 55(2018)
• Page Start: 426
• Page End: 434
• Publication Date: 2018-05
• Subjects: Aging -- Driving -- Technology -- Uber/Lyft; Automobile drivers -- Psychology -- Periodicals; Automobile driving -- Psychological aspects -- Periodicals; Transportation -- Psychological aspects -- Periodicals; 629.283019
• DOI: 10.1016/j.trf.2018.03.020
• Languages: English
• ISSNs: 1369-8478

Abstract

Highlights: Very few older adults use e-hail services or expect to use them in the future. Greater knowledge was related to being younger (among the older age group) and male. More education and greater transportation satisfaction also predicted knowledge. Current e-hail knowledge was the strongest predictor of anticipated future use. Abstract: The goals of this study were to explore e-hail (e.g., Uber/Lyft) knowledge, use, reliance, and future expectations among older adults. Specifically, we aimed to identify factors that were related to e-hail, and how older adults view this mode as a potential future transportation option. Data were collected from a sample of older adults using a pencil-and-paper mailed survey. Univariate, bivariate, and regression techniques were used to assess the relationships among e-hail and several demographic and other factors. Almost three-quarters of the sample (74%) reported no e-hail knowledge. Only 1.7% had used e-hail to arrange a ride, and only 3.3% reported that they relied on e-hail for any of their transportation needs. Younger age, male gender, more education, higher transportation satisfaction, and discussing transportation options with others were all independently associated with greater e-hail knowledge. Male gender also predicted e-hail use. E-hail was the mode least relied upon by older adults. Current e-hail knowledge was the biggest predictor of anticipated future use. E-hail may be a viable future option for older adults who have limited or stopped driving. More exposure to e-hail and continued evolution of these services is required to overcome older adults' lower internet/smartphone use. Policies could be implemented at departments of motor vehicles to pair information or training on transportation alternatives (like e-hail) with elimination of driving privileges, or at doctors' offices, senior centers, or hospitals. Potential underlying reasons for the findings are also discussed.