The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
The who, why, and when of Uber and other ride-hailing trips: An examination of a large sample household travel survey
Open accessAbstract
Convenience and low prices have enabled ride-hailing companies, such as Uber and Lyft, to position themselves amongst the most valuable companies within the transportation sector. They now account for the lion share of activities in the platform economy and play an increasing role within our cities. Despite this, very little is known about the type of people that use them, nor the purpose and timing of trips. In addition to this, their effect on other modes, such as taxis and public transit, remains, for the most part, widely unexplored. By comparing the socioeconomic and trip characteristics of ride-hailing users to that of other mode users, we find ride-hailing to be a wealthy younger generation phenomenon. While our results show that ride-hailing is too minute and inconsequential to influence the ridership level of other more substantial modes of travel overall, when considering specific market segments, the rise of ride-hailing corresponds to a significant decrease in taxi ridership and a rise in active modes of travel. Moreover, due to the specific age, timing, and purpose of our subsample, we believe that ride-hailing may effectively reduce drunk-driving, and are convinced that as this mode increases in importance in the future, it will have a much more pronounced effect on the level of ridership of other modes as well.
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Cites
Rayle, L., Dai, D., Chan, N., Cervero, R., & Shaheen, S. (2016) · Transport Policy · doi:10.1016/j.tranpol.2015.10.004 · Cited by 1,118
Disruptive Change in the Taxi Business: The Case of Uber
Cramer, J., & Krueger, A. B. (2016) · American Economic Review · doi:10.1257/aer.p20161002 · Cited by 825
An Analysis of the Labor Market for Uber’s Driver-Partners in the United States
Hall, J. V., & Krueger, A. B. (2018) · ILR Review · doi:10.1177/0019793917717222 · Cited by 701
Is Uber a substitute or complement for public transit?
Hall, J. D., Palsson, C., & Price, J. (2018) · Journal of Urban Economics · doi:10.1016/j.jue.2018.09.003 · Cited by 572
Shared Mobility and the Transformation of Public Transit
Murphy, S. F. A. C., Program, T. C. R., Transportation Research Board, & National Academies of Sciences, E. (2016) · Transportation Research Board eBooks · doi:10.17226/23578 · Cited by 305
Are Millennials Really the “Go-Nowhere” Generation?
McDonald, N. C. (2015) · Journal of the American Planning Association · doi:10.1080/01944363.2015.1057196 · Cited by 279
“Not just a taxi”? For-profit ridesharing, driver strategies, and VMT
Anderson, D. N. (2014) · Transportation · doi:10.1007/s11116-014-9531-8 · Cited by 175
The effects of ride-hailing companies on the taxicab industry in Las Vegas, Nevada
Contreras, S. D., & Paz, A. (2017) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2017.11.008 · Cited by 145
Uber and Metropolitan Traffic Fatalities in the United States
Brazil, N., & Kirk, D. S. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kww062 · Cited by 130
Henao, A. (n.d.) · ProQuest Demo Repository · Cited by 107
Cited by
Garrow, L. A., German, B. J., & Leonard, C. E. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103377 · Cited by 488
Ride-hailing, travel behaviour and sustainable mobility: an international review
Tirachini, A. (2020) · Transportation · doi:10.1007/s11116-019-10070-2 · Cited by 470
Spatio-temporal analysis of on-demand transit: A case study of Belleville, Canada
Sanaullah, I., Alsaleh, N., Djavadian, S., & Farooq, B. (2021) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2021.01.020 · Cited by 299
Ride-hailing in Santiago de Chile: Users’ characterisation and effects on travel behaviour
Tirachini, A., & del Río, M. (2019) · Transport Policy · doi:10.1016/j.tranpol.2019.07.008 · Cited by 234
Metadata
- Authors
- Young, M., & Farber, S.
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2019-01
- Volume
- 119
- Pages
- 383-392
- ISSN
- 0965-8564 (ISSN-L)
- OpenAlex
- W2903890472
- Cited by
- 304
- References
- 13
- FWCI
- 16.29
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.