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Cited by 353

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

An analysis of the operational efficiency of major airports in the United States

Sarkis, Joseph·2000·Journal of Operations Management
DOI 10.1016/s0272-6963(99)00032-7
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Abstract

Recently, considerable attention has been focused on the performance of various airlines and air carriers in terms of efficiency. Although it is obvious that air carriers use airports, few studies have focused on airport operational efficiency. This empirical study evaluates the operational efficiencies of 44 major U.S. airports using data envelopment analysis and some of its recent developments. Various airport characteristics are evaluated to determine their relationship to an airport's efficiency. Efficiency measures are based on four resource input measures including airport operational costs, number of airport employees, gates and runways, and five output measures including operational revenue, passenger flow, commercial and general aviation movement, and total cargo transportation. The results of this study have operational as well as public policy implications.

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Crossref · 10.1016/s0272-6963(99)00032-7

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Metadata

Authors
Sarkis, J.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2000-03-27
Volume
18
Issue
3
Pages
335-351
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
DOI
10.1016/s0272-6963(99)00032-7
OpenAlex
W2087620639
Cited by
353
References
15
FWCI
5.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An analysis of the operational efficiency of major airports in the United States. https://app.cochat.ai/papers/10.1016/s0272-6963(99)00032-7
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Sarkis, J. (2000). An analysis of the operational efficiency of major airports in the United States. Journal of Operations Management. https://doi.org/10.1016/s0272-6963(99)00032-7

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.