%0 Journal Article
%T E-hail (rideshare) knowledge, use, reliance, and future expectations among older adults
%J Transportation research part F: traffic psychology and behaviour
%D 2018
%A Vivoda, Jonathon M.
%A Harmon, Annie C.
%A Babulal, Ganesh M.
%A Zikmund-Fisher, Brian J.
%V 55
%N 
%P 426-434
%X 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.<p /> <p>Language: en</p>
%G en
%I Elsevier Publishing
%@ 1369-8478
%U http://dx.doi.org/10.1016/j.trf.2018.03.020