Date of Award
Spring 1998
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Engineering Management & Systems Engineering
Program/Concentration
Engineering Management
Committee Director
Abel A. Fernandez
Committee Member
Derya A. Jacobs
Committee Member
Marie S. Fleischer
Call Number for Print
Special Collections LD4331.E555 C87
Abstract
Airport congestion represents a serious obstacle to the future growth of the air transportation industry in the United States. Future development of new airports, and expansion of existing ones is required to meet the growing demands in domestic and commercial air travel. Globalization of economies and international travel has placed additional burdens on airports nationwide. This growth is requiring airports to operate at peak efficiencies. Economic growth of surrounding industries is dependent on the airport that services that geographical region. The variations in functions that airports offer, and therefore the differences in operations, do not lend themselves to traditional efficiency measures. Determining airport operating efficiencies by Data Envelopment Analysis (DEA) techniques may identify operational areas that require adjustments in order to operate efficiently. Airport rankings are determined yearly by the Federal Aviation Administration (FAA) based on the number of passenger enplanements made at each airport. From the FAA rankings, the top fifteen airports have been selected and their operating efficiencies determined. In addition, five regional airports were selected, and their operating efficiencies determined and compared to the top fifteen ranked airports. These comparisons established what airports operate efficiently, and what is required to make those inefficient airports efficient.
Rights
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DOI
10.25777/nyfd-gc17
Recommended Citation
Cummings, Scott A..
"Evaluation of Airport Operating Efficiencies Using Data Envelopment Analysis"
(1998). Master of Science (MS), Thesis, Engineering Management & Systems Engineering, Old Dominion University, DOI: 10.25777/nyfd-gc17
https://digitalcommons.odu.edu/emse_etds/221
Included in
Management and Operations Commons, Management Sciences and Quantitative Methods Commons, Operational Research Commons