Username   Password       Forgot your password?  Forgot your username? 

ISSUES BY YEAR

Volume 14 - 2018

No.1 January 2018
No.1 January 2018

Volume 13 - 2017

No.4 July 2017
No.4 July 2017
No.5 September 2017
No.5 September 2017
No.7 November 2017
No.7 November 2017
No.8 December 2017
No.8 December 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006

Assessment of Airport Air Side Performability from the Perspective of the Consumer

Volume 7, Number 2, March 2011 - Paper 2 - pp. 121-136

SCOTT WIDENER, MURAT ERKOC, and JOSEPH SHARIT

University of Miami, Department of Industrial Engineering,
Coral Gables, FL 33146, United States of America

(Received on March 31, 2010, revised on August 07, 2010)


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.

 

References: 27

Click here to download the paper.

Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

 

CURRENT ISSUE

Prev Next

Big Data Storage and Parallel Analysis of Grid Equipment Monitoring System

Xiaoming Zhou, Anlong Su, Guanghan Li, Weiqi Gao, Chunhua Lin, Shidong Zhu, Zhenliu Zhou

Read more

A Novel Image Retrieval Method with Saliency Feature Vector

Junfeng Wu, Wenyu Qu, Zhiyang Li, Changqing Ji

Read more

A Survey on Set Similarity Search and Join

Lianyin Jia, Lulu Zhang, Guoxian Yu, Jinguo You, Jiaman Ding, Mengjuan Li

Read more

A Numerical Simulation of Deepwater Riser’s FSI based on MLPG

Jianping Chen, Jie Xu, Litao Wang, Xinen Chen, You Gong

Read more

Intelligent Identification of Ocean Parameters based on RBF Neural Networks

Li Yuan, Wei Wu, Chuan Tian, Wei Song, Xinghui Cao, Lixin Liu

Read more

A Visual Cryptography Scheme-Based DNA Microarrays

Xuncai Zhang, Zheng Zhou, Yangyang Jiao, Ying Niu, Yanfeng Wang

Read more
This site uses encryption for transmitting your passwords. ratmilwebsolutions.com