Cited by 521Efficiency Analysis Using DEAAviation Industry Analysis and TrendsAir Traffic Management and Optimization

Developing measures of airport productivity and performance: an application of data envelopment analysis

Gillen, David, Lall, Ashish·1997·Transportation Research Part E: Logistics and Transportation Review

Integrity signals

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Crossref · 10.1016/s1366-5545(97)00028-8

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  • DEA does not search for sources of inefficiency, which is more commonly used in aviation, starting with Gillen and Lall (1997), compared to SFA.

    “However, DEA does not search for sources of inefficiency, which is more commonly used in aviation, starting with Gillen and Lall (1997), compared to SFA.”

    From Airports’ public infrastructure and sources of inefficiency (2023) · cites this paper as Gillen and Lall (1997)

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Authors
Gillen, D., & Lall, A.
Affiliations
  • Wilfrid Laurier University (CA)
  • Nanyang Technological University (SG)
Corresponding author
Gillen, David
Venue
Transportation Research Part E: Logistics and Transportation Review
Publisher
Elsevier BV
Published
1997-12
Volume
33
Issue
4
Pages
261-273
ISSN
1366-5545 (ISSN-L)
OpenAlex
W2038049555
Cited by
521
References
0
Citations by year
2026: 6 · 2025: 9 · 2024: 13 · 2023: 25 · 2022: 29 · 2021: 28 · 2020: 22 · 2019: 18 · 2018: 25 · 2017: 25 · 2016: 27 · 2015: 35 · 2014: 27 · 2013: 20 · 2012: 32
FWCI
3.91
Type
journal article
Language
en
Open access
closed
Locations
  • Transportation Research Part E Logistics and Transportation Review (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
  • Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
Keywords
airport productivity, airport performance, performance index, data envelopment analysis, airport terminal, airside operations, Tobit model, United States airports

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