Cited by 1,177Transportation and Mobility InnovationsElectric Vehicles and InfrastructureTransportation Planning and Optimization

The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios

Fagnant, Daniel J., Kockelman, Kara M.·2014·Transportation Research Part C: Emerging Technologies

Integrity signals

Registry

Crossref · 10.1016/j.trc.2013.12.001

Cites

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Recomputing p-values needs the paper’s full text.

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Many simulation studies employ a warm-up simulation to determine the required fleet size.

    “Many simulation studies employ a warm up simulation (see Fagnant & Kockelman (2014) for the method) to determine the fleet size required.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)

  • All relocation strategies resulted in increased vehicle miles travelled.

    “All the relocation strategies resulted in increased vehicle miles travelled.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)

  • Strategy R1, allowing larger relocation distance, results in lower waiting times for customers.

    “They found that strategy R1, that allows larger relocation distance, results in lower waiting times for customers.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)

  • The maximum vehicle replacement rate is 10.

    “The result shows a maximum vehicle replacement rate of 10.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman, 2014

  • Fagnant & Kockelman (2018) builds on Fagnant & Kockelman (2014) by including a Dynamic Ride-Sharing (DRS) module.

    “This study builds on Fagnant & Kockelman (2014), by including a Dynamic Ride-Sharing (DRS) module.”

    From Shared autonomous vehicle services: A comprehensive review (2020) · cites this paper as Fagnant & Kockelman (2014)

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Authors
Fagnant, D. J., & Kockelman, K. M.
Affiliations
The University of Texas at Austin (US)
Corresponding author
Kockelman, Kara M.
Venue
Transportation Research Part C: Emerging Technologies
Publisher
Elsevier BV
Published
2014-03
Volume
40
Pages
1-13
ISSN
0968-090X (ISSN-L)
OpenAlex
W1555872275
Cited by
1,177
References
0
Citations by year
2026: 70 · 2025: 68 · 2024: 90 · 2023: 101 · 2022: 131 · 2021: 148 · 2020: 160 · 2019: 149 · 2018: 121 · 2017: 69 · 2016: 49 · 2015: 16 · 2014: 5
FWCI
56.73
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part C Emerging Technologies (publishedVersion)
  • Transportation Research Board 93rd Annual MeetingTransportation Research Board
Topics
  • Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Social Sciences › Transportation › Transportation Planning and Optimization
Keywords
shared autonomous vehicles, car sharing, autonomous vehicles, fleet sizing, travel demand, trip generation, trip distribution, network congestion, travel distance, vehicle miles traveled, emissions, embodied emissions, in-use emissions, urban mobility

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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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