Abstract
Traditional approaches to assess the performability of airports ignore the needs of consumers in terms of the ability to move both passengers and cargo in a timely fashion, instead focusing on the airport as an economic entity. These approaches focus on the ability to generate throughput based upon the available assets at the airport. In this paper, we explore the ability to generate timely throughputs of flights based upon both the assets of the airport and the way those assets are used. We employ widely accepted data envelopment analysis (DEA) to measure performability of the 45 largest airports in the United States using data spanning an eight-year period. The result of these models is a new aviation system diagnostic that identifies weaknesses throughout the entire national airspace to highlight specific areas for improvement and investment for reliable timely throughput. To illustrate the methodology, we present two case studies.
| Original language | English |
|---|---|
| Pages (from-to) | 121-136 |
| Number of pages | 16 |
| Journal | International Journal of Performability Engineering |
| Volume | 7 |
| Issue number | 2 |
| State | Published - Mar 1 2011 |
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Keywords
- Airport efficiency
- Customer service
- Data envelopment analysis
- Runway configuration
- System diagnostics
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
Cite this
Assessment of airport air side performability from the perspective of the consumer. / Widener, Scott; Erkoc, Murat; Sharit, Joseph.
In: International Journal of Performability Engineering, Vol. 7, No. 2, 01.03.2011, p. 121-136.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Assessment of airport air side performability from the perspective of the consumer
AU - Widener, Scott
AU - Erkoc, Murat
AU - Sharit, Joseph
PY - 2011/3/1
Y1 - 2011/3/1
N2 - Traditional approaches to assess the performability of airports ignore the needs of consumers in terms of the ability to move both passengers and cargo in a timely fashion, instead focusing on the airport as an economic entity. These approaches focus on the ability to generate throughput based upon the available assets at the airport. In this paper, we explore the ability to generate timely throughputs of flights based upon both the assets of the airport and the way those assets are used. We employ widely accepted data envelopment analysis (DEA) to measure performability of the 45 largest airports in the United States using data spanning an eight-year period. The result of these models is a new aviation system diagnostic that identifies weaknesses throughout the entire national airspace to highlight specific areas for improvement and investment for reliable timely throughput. To illustrate the methodology, we present two case studies.
AB - Traditional approaches to assess the performability of airports ignore the needs of consumers in terms of the ability to move both passengers and cargo in a timely fashion, instead focusing on the airport as an economic entity. These approaches focus on the ability to generate throughput based upon the available assets at the airport. In this paper, we explore the ability to generate timely throughputs of flights based upon both the assets of the airport and the way those assets are used. We employ widely accepted data envelopment analysis (DEA) to measure performability of the 45 largest airports in the United States using data spanning an eight-year period. The result of these models is a new aviation system diagnostic that identifies weaknesses throughout the entire national airspace to highlight specific areas for improvement and investment for reliable timely throughput. To illustrate the methodology, we present two case studies.
KW - Airport efficiency
KW - Customer service
KW - Data envelopment analysis
KW - Runway configuration
KW - System diagnostics
UR - http://www.scopus.com/inward/record.url?scp=79952394561&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952394561&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:79952394561
VL - 7
SP - 121
EP - 136
JO - International Journal of Performability Engineering
JF - International Journal of Performability Engineering
SN - 0973-1318
IS - 2
ER -