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ICT’s impacts on ride-hailing use and individual travel
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More engagement with technology explains ride-hailing adoption but after controlling for demographics, is not useful to predict frequency of use.
“Results show that more engagement with technology explains ride-hailing adoption but after controlling for several demographics, is not useful to predict frequency of use.”
From Ready to ride: security and transit-related determinants of ride-hailing adoption in Latin America (2022) · cites this paper as Kong et al., 2020
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Cited by
Sorted by citations
Ready to ride: security and transit-related determinants of ride-hailing adoption in Latin America
Oviedo, D., Sabogal-Cardona, O., & Scholl, L. (2022) · Inter-American Development Bank · doi:10.18235/0004656 · Cited by 6
“For example, a recent study (Sabouri et al., 2020) considers 24 regions in the United States and using large datasets of Uber trips in multilevel models states that “…the built environment affects ride-sourcing in much the same way it affects travel by other modes.””
Influential
Metadata
- Authors
- Kong, H., Moody, J., & Zhao, J.
- Affiliations
- Singapore-MIT Alliance for Research and Technology (SG)
- Massachusetts Institute of Technology (US)
- Corresponding author
- Zhao, Jinhua
- Venue
- Transportation Research Part A: Policy and Practice
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 141
- Pages
- 1-15
- ISSN
- 0965-8564 (ISSN-L)
- OpenAlex
- W3086364248
- Cited by
- 27
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 5 · 2022: 4 · 2021: 6
- FWCI
- 1.39
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Transportation Research Part A Policy and Practice (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-nd)
- Funders
- Singapore-MIT Alliance for Research and Technology Centre
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › Urban Transport and Accessibility
- Keywords
- ICT use, ride-hailing, travel behavior, vehicle miles traveled, trip counts, substitutes and complements, modal shift, travel distance, National Household Travel Survey
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