Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed

Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed

Maximising revenues is one of the greatest challenges of regional airports especially after the introduction of deregulation and privatisation of airports with the increase of aggressive competition in the markets. The calculation of aeronautical revenues generation has always been considered as a...

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Main Author: Wan Mohamed, Wan Mazlina
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2016
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/19668/
http://ir.uitm.edu.my/id/eprint/19668/1/ABS_WAN%20MAZLINA%20WAN%20MOHAMED%20TDRA%20VOL%209%20IGS%2016.pdf
id uitm-19668
recordtype eprints
spelling uitm-196682018-06-07T04:35:38Z http://ir.uitm.edu.my/id/eprint/19668/ Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed Wan Mohamed, Wan Mazlina Malaysia Maximising revenues is one of the greatest challenges of regional airports especially after the introduction of deregulation and privatisation of airports with the increase of aggressive competition in the markets. The calculation of aeronautical revenues generation has always been considered as a straightforward method and airport managers generally overlooked on the importance of daily operational factors such as the different flight services offered at the airports, the type of aircraft airlines utilised, time of the day the flight arrives or departs, and the number of passengers the airlines ferry in and out of their airport, types of destination and how these factors influence the generation of aeronautical revenues for their airport. The first objective of this research is to measure the airside operation factors that influence the generation of aeronautical revenues deterministically. The influential variables were determined through literature reviews and case studies of regional airports in the Netherlands and Malaysia, and were validated with regression analysis. Preliminary model was developed based on the determinants and the model was analysed using Bayesian Network theory. Thus, the research is also geared towards developing a baseline matrix using stochastic approach to analyse the effect of airside operation factors on aeronautical revenues generation as the second objective. The next objective concerns with the formulation of mathematical optimisation algorithm known as Aeronautical Revenue Optimisation Model (AROM) to generate maximum aeronautical revenues for regional airport in line with the objectives of the airport… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19668/1/ABS_WAN%20MAZLINA%20WAN%20MOHAMED%20TDRA%20VOL%209%20IGS%2016.pdf Wan Mohamed, Wan Mazlina (2016) Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed. In: The Doctoral Research Abstracts. IGS Biannual Publication, 9 (9). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Malaysia
spellingShingle Malaysia
Wan Mohamed, Wan Mazlina
Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed
description Maximising revenues is one of the greatest challenges of regional airports especially after the introduction of deregulation and privatisation of airports with the increase of aggressive competition in the markets. The calculation of aeronautical revenues generation has always been considered as a straightforward method and airport managers generally overlooked on the importance of daily operational factors such as the different flight services offered at the airports, the type of aircraft airlines utilised, time of the day the flight arrives or departs, and the number of passengers the airlines ferry in and out of their airport, types of destination and how these factors influence the generation of aeronautical revenues for their airport. The first objective of this research is to measure the airside operation factors that influence the generation of aeronautical revenues deterministically. The influential variables were determined through literature reviews and case studies of regional airports in the Netherlands and Malaysia, and were validated with regression analysis. Preliminary model was developed based on the determinants and the model was analysed using Bayesian Network theory. Thus, the research is also geared towards developing a baseline matrix using stochastic approach to analyse the effect of airside operation factors on aeronautical revenues generation as the second objective. The next objective concerns with the formulation of mathematical optimisation algorithm known as Aeronautical Revenue Optimisation Model (AROM) to generate maximum aeronautical revenues for regional airport in line with the objectives of the airport…
format Book Section
author Wan Mohamed, Wan Mazlina
author_facet Wan Mohamed, Wan Mazlina
author_sort Wan Mohamed, Wan Mazlina
title Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed
title_short Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed
title_full Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed
title_fullStr Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed
title_full_unstemmed Aeronautical Revenues Optimisation Model (AROM) for regional airports via airside operations stochastic baseline matrix analysis / Wan Mazlina Wan Mohamed
title_sort aeronautical revenues optimisation model (arom) for regional airports via airside operations stochastic baseline matrix analysis / wan mazlina wan mohamed
publisher Institute of Graduate Studies, UiTM
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/19668/
http://ir.uitm.edu.my/id/eprint/19668/1/ABS_WAN%20MAZLINA%20WAN%20MOHAMED%20TDRA%20VOL%209%20IGS%2016.pdf
first_indexed 2023-09-18T23:03:01Z
last_indexed 2023-09-18T23:03:01Z
_version_ 1777418299387150336

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