Redefining Car Access

Brown, Anne

doi:10.1080/01944363.2019.1603761

Cited by 104 publications

(46 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Differences can arise for many reasons, including socio-demographic factors (e.g., different age cohorts) or latent factors (e.g., high versus low confidence using smartphone apps). Since researchers indicate that there are differences in ride-hailing preferences by home location (Brown, 2019a;Yu & Peng, 2019), we contend that differences in adoption of such services can also arise from where respondents live. Therefore, we segmented the sample by the type of self-reported home location and used a market segmentation approach (Koppelman & Bhat, 2006, Chapter 6) to test differences in reasons for adopting ride-hailing across three types of markets: urban, suburban, and small town/rural areas.…”

Section: Analytical Approachmentioning

confidence: 87%

“…Most research on ride-hailing has focused on millennials, generation Xers, and regular travelers. Methodologically, online surveys (Alemi, Circella, Mokhtarian, & Handy, 2019;Middleton & Zhao, 2019), spatio-temporal data on use of ride-hailing (Brown, 2019a;Erhardt et al, 2019), and intercept surveys (Gehrke, Felix, & Reardon, 2019;Henao & Marshall, 2018) have been utilized to unearth dimensions of ride-hailing usage in cities. Tirachini (2019) provides an in-depth literature review of ride-hailing scholarship from developed and developing countries.…”

Section: Ride-hailingmentioning

confidence: 99%

“…Whom does ride-hailing serve: The literature suggests that the average ride-hailing user tends to be young, employed (often with a flexible schedule), educated, male, and urban-dwelling (Alemi et al, 2018;Conway et al, 2018;Grahn et al, 2019;Vivoda et al, 2018;Yu & Peng, 2019). However, ridehailing is used infrequently by all users, though more use is seen among those dwelling in households with fewer vehicles than workers (Brown, 2019a;Grahn et al, 2019;Sikder, 2019). Some researchers have found that ride-hailing is inequitable.…”

Section: Ride-hailingmentioning

confidence: 99%

“…Specifically, denser locations tend to have higher use of ride-hailing (Alemi et al, 2019;Conway et al, 2018;Grahn et al, 2019). Yet, in the Los Angeles area, Brown (2019a) finds that ride-hailing is ubiquitous, being supplied and consumed in low-density areas as well as in urban centers.…”

Section: Ride-hailingmentioning

confidence: 99%

“…available across all of California (our geography of focus in this paper) including non-urban locations, availability can vary across environments (Brown, 2019a). Because ride-hailing typically requires use of the internet and credit cards, there is a clear association between use of this mode of transportation and travelers' ages.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Differences in ride-hailing adoption by older Californians among types of locations

Shirgaokar

Misra

Agrawal

et al. 2021

JTLU

View full text Add to dashboard Cite

Ride-hailing services such as Lyft and Uber can complement rides offered by family, friends, paid providers, and public transit. To learn why older adults might wish to use ride-hail, we conducted an online survey of 2,917 California respondents age 55 and older. Participants were asked whether they would value four features hypothesized to be benefits of ride-hailing. We specified binary logit models and used market segmentation to investigate whether there were location-based differences in the use of ride-hailing. Our analysis showed that women, city dwellers, persons with disabilities, and those who rely on others for rides were more open to ride-hailing. Women in suburbs or small town/rural settings were more likely to ride-hail than their male counterparts for reasons of independence, fear of being lost while driving, or getting help with carrying bags. Urban women, in contrast, were less likely than their male counterparts to ride-hail for these reasons. High-income individuals in suburbs or small town/rural locations were more likely to ride-hail than low-income respondents, while high-income urban residents were less likely to ride-hail. Adoption of ride-hailing services and the reasons for doing so showed strong variability by location even among respondents with similar socio-demographic attributes.

show abstract

Section: Analytical Approachmentioning

confidence: 87%