Dynamic ride sharing using traditional taxis and shared autonomous taxis: A case study of NYC
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Conventional vehicles with ride-sharing option reduce VMT/VKT to a greater extent than autonomous vehicles, though the fleet requirement is high.
“Lokhandwala & Cai (2018) show that usage of conventional vehicles with ride-sharing option reduces VMT/VKT to a greater extent, compared to autonomous vehicles, though the fleet requirement is high.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Lokhandwala & Cai, 2018
Suburban areas will be under-served and the quality of service will be better in urban areas.
“Loeb et al. (2018), Lokhandwala & Cai (2018) and Zhang & Guhathakurta (2018) conclude that suburban areas will be under-served and the quality of service will be better in urban areas.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Lokhandwala & Cai, 2018
Emission reduction is dependent on ride-sharing participation.
“Lokhandwala & Cai 585 (2018) show that emission reduction is dependent on ride-sharing participation.”
From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Lokhandwala & Cai, 2018
Cites
Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles
Wadud, Z., MacKenzie, D., & Leiby, P. (2016) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.12.001 · Cited by 859 · see citing works
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Shared autonomous vehicle services: A comprehensive review
Narayanan, S., Chaniotakis, E., & Antoniou, C. (2020) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.12.008 · Cited by 691 · see citing works
Wang, Y., Gu, J., Wang, S., & Wang, J. (2019) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.05.044 · Cited by 334 · see citing works
- Authors
- Lokhandwala, M., & Cai, H.
- Affiliations
- Purdue University West Lafayette (US)
- Corresponding author
- Cai, Hua
- ORCID
- Cai, Hua
- Venue
- Transportation Research Part C: Emerging Technologies
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 97
- Pages
- 45-60
- ISSN
- 0968-090X (ISSN-L)
- OpenAlex
- W2897737779
- Cited by
- 246
- References
- 1
- Citations by year
- 2026: 28 · 2025: 22 · 2024: 31 · 2023: 34 · 2022: 40 · 2021: 41 · 2020: 31 · 2019: 17 · 2018: 2
- FWCI
- 11.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Transportation Research Part C Emerging Technologies (publishedVersion)
- Topics
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Transportation › Transportation Planning and Optimization
- Physical Sciences › Engineering › Building and Construction › Traffic Prediction and Management Techniques
- Keywords
- dynamic ridesharing, occupancy rate, carbon emission reduction, service coverage, agent-based modeling
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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