System dynamics based simulation modelling for airport revenue analysis

Jing Qin

System dynamics based simulation modelling for airport revenue analysis

Jing Qin

UWA Business School

Research output: Thesis › Doctoral Thesis

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Abstract

Airports are multi-sided enterprises, with revenues affected by interrelationships between many parts: airport, airlines, passengers, and government. This research developed a System Dynamics (SO) model to examine the airport revenue
structure, with the objective to optimise its revenues. The SO model compared two airports with different market power, under different regulation and competition conditions: Perth, Australia and Nanjing, China. The results show that government regulation is essential for an airport without competition and price discrimination is a mechanism to increase airport revenue, especially when Low Cost Carriers or modal competition exists. The expanded modelling platform can test various policies.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Olaru, Doina, Supervisor Taplin, John, Supervisor
Award date	6 Dec 2016
Publication status	Unpublished - 2016

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THESIS - DOCTOR OF PHILOSOPHY - QIN Jing - 2016
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title = "System dynamics based simulation modelling for airport revenue analysis",

abstract = "Airports are multi-sided enterprises, with revenues affected by interrelationships between many parts: airport, airlines, passengers, and government. This research developed a System Dynamics (SO) model to examine the airport revenue structure, with the objective to optimise its revenues. The SO model compared two airports with different market power, under different regulation and competition conditions: Perth, Australia and Nanjing, China. The results show that government regulation is essential for an airport without competition and price discrimination is a mechanism to increase airport revenue, especially when Low Cost Carriers or modal competition exists. The expanded modelling platform can test various policies. ",

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T1 - System dynamics based simulation modelling for airport revenue analysis

AU - Qin, Jing

PY - 2016

Y1 - 2016

N2 - Airports are multi-sided enterprises, with revenues affected by interrelationships between many parts: airport, airlines, passengers, and government. This research developed a System Dynamics (SO) model to examine the airport revenue structure, with the objective to optimise its revenues. The SO model compared two airports with different market power, under different regulation and competition conditions: Perth, Australia and Nanjing, China. The results show that government regulation is essential for an airport without competition and price discrimination is a mechanism to increase airport revenue, especially when Low Cost Carriers or modal competition exists. The expanded modelling platform can test various policies.

AB - Airports are multi-sided enterprises, with revenues affected by interrelationships between many parts: airport, airlines, passengers, and government. This research developed a System Dynamics (SO) model to examine the airport revenue structure, with the objective to optimise its revenues. The SO model compared two airports with different market power, under different regulation and competition conditions: Perth, Australia and Nanjing, China. The results show that government regulation is essential for an airport without competition and price discrimination is a mechanism to increase airport revenue, especially when Low Cost Carriers or modal competition exists. The expanded modelling platform can test various policies.

KW - Airport revenue

KW - System dynamics

KW - Simulation

M3 - Doctoral Thesis

ER -

System dynamics based simulation modelling for airport revenue analysis

Abstract

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