Virtual hubs : an airline schedule recovery concept and model
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003. === Includes bibliographical references (leaves 61-62). === Inclement weather at an airline's hub airport can be devastating to that airline's schedule. The repercussions resonate thro...
Main Author: | |
---|---|
Other Authors: | |
Format: | Others |
Language: | English |
Published: |
Massachusetts Institute of Technology
2006
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/29572 |
id |
ndltd-MIT-oai-dspace.mit.edu-1721.1-29572 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-MIT-oai-dspace.mit.edu-1721.1-295722019-05-02T15:44:29Z Virtual hubs : an airline schedule recovery concept and model Airline schedule recovery concept and model Karow, Michelle J. (Michael Janine), 1979- John-Paul Clarke. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering. Civil and Environmental Engineering. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003. Includes bibliographical references (leaves 61-62). Inclement weather at an airline's hub airport can be devastating to that airline's schedule. The repercussions resonate throughout the airline's network as capacity is reduced, connections are missed, and passengers are delayed on a larger scale than during irregular operations at a spoke airport. The main hypothesis behind the work presented in this thesis is that by shifting a small fraction of a connecting bank to strategically located, under-utilized airports during irregular operations, an airline can reduce costs and aircraft delays relative to current industry rescheduling practices. These proposed "virtual hubs" would, in addition to hosting selected connecting traffic that is shifted from the original hub in order to maximize passenger flow through the network, also reduce the demand on the nominal hub airport. The primary goal of this research project was to develop methods for the implementation of a virtual hub network and evaluate the potential benefits to the airline industry. To that end, a mathematical formulation is presented along with a case study of the benefits of a virtual hub to a major US airline. The actual recovered schedule and delay statistics for a day of irregular operations was compared to the results from the virtual hub network. Results indicate that significant passenger delays are reduced 94% and flight cancellations are reduced by 15% when a virtual hub network is implemented. by Michelle J. Karow. S.M. 2006-03-24T16:03:30Z 2006-03-24T16:03:30Z 2003 2003 Thesis http://hdl.handle.net/1721.1/29572 52753294 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 62 leaves 2593549 bytes 2593357 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
collection |
NDLTD |
language |
English |
format |
Others
|
sources |
NDLTD |
topic |
Civil and Environmental Engineering. |
spellingShingle |
Civil and Environmental Engineering. Karow, Michelle J. (Michael Janine), 1979- Virtual hubs : an airline schedule recovery concept and model |
description |
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2003. === Includes bibliographical references (leaves 61-62). === Inclement weather at an airline's hub airport can be devastating to that airline's schedule. The repercussions resonate throughout the airline's network as capacity is reduced, connections are missed, and passengers are delayed on a larger scale than during irregular operations at a spoke airport. The main hypothesis behind the work presented in this thesis is that by shifting a small fraction of a connecting bank to strategically located, under-utilized airports during irregular operations, an airline can reduce costs and aircraft delays relative to current industry rescheduling practices. These proposed "virtual hubs" would, in addition to hosting selected connecting traffic that is shifted from the original hub in order to maximize passenger flow through the network, also reduce the demand on the nominal hub airport. The primary goal of this research project was to develop methods for the implementation of a virtual hub network and evaluate the potential benefits to the airline industry. To that end, a mathematical formulation is presented along with a case study of the benefits of a virtual hub to a major US airline. The actual recovered schedule and delay statistics for a day of irregular operations was compared to the results from the virtual hub network. Results indicate that significant passenger delays are reduced 94% and flight cancellations are reduced by 15% when a virtual hub network is implemented. === by Michelle J. Karow. === S.M. |
author2 |
John-Paul Clarke. |
author_facet |
John-Paul Clarke. Karow, Michelle J. (Michael Janine), 1979- |
author |
Karow, Michelle J. (Michael Janine), 1979- |
author_sort |
Karow, Michelle J. (Michael Janine), 1979- |
title |
Virtual hubs : an airline schedule recovery concept and model |
title_short |
Virtual hubs : an airline schedule recovery concept and model |
title_full |
Virtual hubs : an airline schedule recovery concept and model |
title_fullStr |
Virtual hubs : an airline schedule recovery concept and model |
title_full_unstemmed |
Virtual hubs : an airline schedule recovery concept and model |
title_sort |
virtual hubs : an airline schedule recovery concept and model |
publisher |
Massachusetts Institute of Technology |
publishDate |
2006 |
url |
http://hdl.handle.net/1721.1/29572 |
work_keys_str_mv |
AT karowmichellejmichaeljanine1979 virtualhubsanairlineschedulerecoveryconceptandmodel AT karowmichellejmichaeljanine1979 airlineschedulerecoveryconceptandmodel |
_version_ |
1719027225076957184 |