dc.contributor.author |
Robertson, Kyle M.
|
|
dc.date.accessioned |
2019-02-04T13:19:33Z |
|
dc.date.available |
2019-02-04T13:19:33Z |
|
dc.date.created |
2017 |
|
dc.date.issued |
2017 |
|
dc.description |
Mini Dissertation (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2017. |
en_ZA |
dc.description.abstract |
The connectedness and accessibility of Cape Town International Airport (CTIA) is critical for
the economic growth and development of the Western Cape. Cape Town Air Access (CTAA)
is responsible for bolstering the long-term growth and sustainability of Cape Town's air access
by making decisions on which routes to develop and which existing routes to expand. These
decisions are multi-faceted and have wide-ranging impacts on the Air Transport Network (ATN).
This study aims to assist the decision-makers at CTAA by creating a model with a network view
of their route development decisions.
Complex Network Theory (CNT) is used to create the model, which has been applied in many
elds to study both the topology and dynamic nature of complex networks. In this study,
it is used to model CTIA's
ight network and in turn measure its accessibility under various
scenarios. Three scenarios are tested: Increasing the capacity on key
ights, decreasing the
capacity on key
ights and introducing new
ights to the network. The key
ights are identi ed
by calculating the vulnerability of airports in the network, which measures the impact that
removing an airport has on the accessibility of CTIA. The new
ights added to the network
are the busiest international airports in each of the 5 strategic countries identi ed by CTAA
(Angola, Canada, Ethiopia, Kenya and the United States of America (USA)). Two heuristics
are employed in the model to account for the number of seats stolen as a result of an increase
in capacity on a direct
ight. The Proportionality heuristic `steals' seats from connecting
ights
with the same proportion as passengers currently using each route to travel to CTIA. The
Switching behaviour heuristic uses
ight-cost and travel-time data between regions to predict
the number of passengers to switch to the direct
ight as opposed to using the connecting
ight.
Three metrics (betweenness centrality, weighted clustering coe cient and e ciency) are used to
calculate the accessibility of CTIA when new
ights are added to the network, or the capacity
on existing
ights is increased or decreased. These metrics translate the word de nition of
accessibility (
exibility, time-e ciency and cost-e ciency of travel) into a measurable quantity.
The research question is: \Can a CNT approach assist decision makers in evaluating the impact
of route changes on the Western Cape's air access?". Positive feedback from the company
was received regarding the project's usefulness. The project manager described it as \Novel
and worthwhile for what we are doing at CTAA", and \The methodology and the way it is
structured makes a lot of sense". He also gave constructive criticism regarding the results of
the analysis, which need to be more suitable for audiences such as politicians and the CTAA
steering committee.
Based on the results of the simulations, Schiphol Airport in Amsterdam and Franz Josef Strauss
Airport in Munich should be expanded. This challenges the current thinking at CTAA which
focuses on developing and expanding smaller routes. In terms of developing new direct
ights,
the results suggest that Miami International, Edmonton International and John F. Kennedy
International Airport (JFK) should be developed. |
en_ZA |
dc.format.medium |
PDF |
en_ZA |
dc.identifier.uri |
http://hdl.handle.net/2263/68402 |
|
dc.language |
en |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
University of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering |
en_ZA |
dc.rights |
© 2017 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
en_ZA |
dc.subject |
Mini-dissertations (Industrial and Systems Engineering) |
en_ZA |
dc.title |
Airport route development decision support tool for Cape Town Air Access |
en_ZA |
dc.type |
Mini Dissertation |
en_ZA |