Javascript must be enabled to continue!
Adopting or Avoiding? Older Adults’ Ride-Hailing Perceptions and Experiences
View through CrossRef
Abstract
This qualitative study explored how older adults perceive ride-hailing services and what factors influence their willingness to use them. Informed by the “accessibility framework,” we explored how individual, transport, land-use, temporal, and social-context factors influence older adults’ perceptions of and decisions about adopting services like Lyft and Uber. We conducted semi-structured interviews with 18 older adults (ages 66-83) in the Portland metropolitan region. Participants included 6 men and 12 women; 8 had never used ride-hailing, while 10 had done so at least once. Most identified as non-Hispanic White, with two Korean immigrants and one Chinese American. Interview questions included ride-hailing experiences and thoughts in terms of geographical, physical/psychological, and technological accessibility, as well as their transportation needs and the relationship between ride-hailing and public transit. All interviews were audio-recorded, transcribed, loaded into Atlas.ti software, and coded to identify common themes and positive and negative perspectives regarding ride-hailing. Participants’ perceptions and prior experiences informed decisions about ride-hailing use. Primary themes included concerns about safety at different times of the day, relative affordability, relative affordability compared to public transit or owning a vehicle, and difficulties with ride-hailing app usability and smartphone access. Participants had suggestions for making ride-hailing services more accessible to older adults and people with disabilities, and viewed ride-hailing as a complement or substitute to other transportation modes. Findings suggest that even when ride-hailing services are available, older adults may not adopt services if they do not perceive them as safe, affordable, easy to use, or physically accommodating.
Title: Adopting or Avoiding? Older Adults’ Ride-Hailing Perceptions and Experiences
Description:
Abstract
This qualitative study explored how older adults perceive ride-hailing services and what factors influence their willingness to use them.
Informed by the “accessibility framework,” we explored how individual, transport, land-use, temporal, and social-context factors influence older adults’ perceptions of and decisions about adopting services like Lyft and Uber.
We conducted semi-structured interviews with 18 older adults (ages 66-83) in the Portland metropolitan region.
Participants included 6 men and 12 women; 8 had never used ride-hailing, while 10 had done so at least once.
Most identified as non-Hispanic White, with two Korean immigrants and one Chinese American.
Interview questions included ride-hailing experiences and thoughts in terms of geographical, physical/psychological, and technological accessibility, as well as their transportation needs and the relationship between ride-hailing and public transit.
All interviews were audio-recorded, transcribed, loaded into Atlas.
ti software, and coded to identify common themes and positive and negative perspectives regarding ride-hailing.
Participants’ perceptions and prior experiences informed decisions about ride-hailing use.
Primary themes included concerns about safety at different times of the day, relative affordability, relative affordability compared to public transit or owning a vehicle, and difficulties with ride-hailing app usability and smartphone access.
Participants had suggestions for making ride-hailing services more accessible to older adults and people with disabilities, and viewed ride-hailing as a complement or substitute to other transportation modes.
Findings suggest that even when ride-hailing services are available, older adults may not adopt services if they do not perceive them as safe, affordable, easy to use, or physically accommodating.
Related Results
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract
The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?
Not Minding the Gap: Does Ride-Hailing Serve Transit Deserts?
Transit has long connected people to opportunities but access to transit varies greatly across space. In some cases, unevenly distributed transit supply creates gaps in service tha...
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Measuring Customers’ Satisfaction and Preferences for Ride-Hailing Services in a Developing Country
Ride-hailing services play an important role in developing countries where conventional transport systems are not enough to meet the needs of commuters because of increased populat...
Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users
Ride-hailing and (dis)Advantage: Perspectives from Users and Non-users
The introduction of ride-hailing in cities of Latin America and the Caribbean (LAC) remains a relatively new topic in regional research and a contentious issue in local policy and ...
Determinants of customer’s intention to use ride-hailing services in Kathmandu Valley
Determinants of customer’s intention to use ride-hailing services in Kathmandu Valley
This study identifies the key factors influencing the adoption of ride-hailing services in Kathmandu Valley, guided by the Theory of Planned Behavior (TPB). The research examines h...
Bundling Strategies for Ride-Hailing Platforms Based on Price and Service Level
Bundling Strategies for Ride-Hailing Platforms Based on Price and Service Level
The increasing popularity of ride-hailing applications has given rise to a new channel in which ride-hailing platforms are bundled into aggregation platforms to earn additional ord...
Mathematical Modeling on Integrated Vehicle Assignment and Rebalancing in Ride-hailing System with Uncertainty Using Fuzzy Linear Programming
Mathematical Modeling on Integrated Vehicle Assignment and Rebalancing in Ride-hailing System with Uncertainty Using Fuzzy Linear Programming
The general public frequently uses taxis as local transportation to get from one location to another. Ride-hailing is an innovation in taxi services that lets customers use their s...
The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis
The influencing factors of the smoking behavior of online ride-hailing drivers in China: A cross-sectional analysis
Abstract
Background:Online ride-hailing is a fast-developing new travel mode, and tobacco control policies on it have not yet been improved. This study aims to reveal the s...

