System dynamics based simulation modelling for airport revenue analysis

Jing Qin

Research output: ThesisDoctoral Thesis

1884 Downloads (Pure)


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 languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
  • Olaru, Doina, Supervisor
  • Taplin, John, Supervisor
Award date6 Dec 2016
Publication statusUnpublished - 2016


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