Evaluation of Airport Operating Efficiencies Using Data Envelopment Analysis
Date of Award
Master of Science (MS)
Engineering Management & Systems Engineering
Abel A. Fernandez
Derya A. Jacobs
Marie S. Fleischer
Call Number for Print
Special Collections LD4331.E555 C87
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.
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
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