Cited by 89Air Traffic Management and OptimizationAviation Industry Analysis and TrendsHealthcare Operations and Scheduling Optimization

A roadmap toward airport demand and capacity management

Jacquillat, Alexandre, Odoni, Amedeo R.·2018·Transportation Research Part A: Policy and Practice

Integrity signals

Registry

Crossref · 10.1016/j.tra.2017.09.027

Cites

67 of 67 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

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Claims other papers make about this one

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

  • ML can help predict runway demand and aircraft taxi time to reduce excess fuel burned due to airport congestion.

    “ML can help predict runway demand and aircraft taxi time in order to reduce the excess fuel burned in the air and on the ground due to congestion in airports [379,474].”

    From Tackling climate change with machine learning (2023) · cites this paper as [379]

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Authors
Jacquillat, A., & Odoni, A. R.
Affiliations
  • Carnegie Mellon University (US)
  • Massachusetts Institute of Technology (US)
Corresponding author
Jacquillat, Alexandre
Venue
Transportation Research Part A: Policy and Practice
Publisher
Elsevier BV
Published
2018-08
Volume
114
Pages
168-185
ISSN
0965-8564 (ISSN-L)
OpenAlex
W2767143769
Cited by
89
References
67
Citations by year
2026: 7 · 2025: 17 · 2024: 14 · 2023: 10 · 2022: 15 · 2021: 8 · 2020: 10 · 2019: 4 · 2018: 4
FWCI
4.54
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part A Policy and Practice (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
  • Health Sciences › Health Professions › Emergency Medical Services › Healthcare Operations and Scheduling Optimization
Keywords
air traffic congestion, capacity utilization, airport operations, airport infrastructure, aviation policy

About these checks

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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