Harnessing the Zipf coefficient and Power Law for the understanding and measurement of growth, ranks and tiers in airports and tourism destinations.

"Patterns such as power law and destination groups can be observed in various distributions in global and intra-national aviation and tourism. A behavioural basis, which can be a complement to the conventional statistical mechanics approach inspired by other fields, is necessary to explain the patterns and provide an integrated link between, for example, visitor mobility and the power law in the aggregated visitor distribution.
The main aims of the research project include:

Creator
Pong Lung (Dragon) Lau
Supervisor
Tay Koo
Level
PhD
asd

Airline fuel policy modelling and optimisation

The aim of this research is to obtain thorough understanding of current airline fuel policy by collecting data from an operating multi-fleet airline and carry out research among the industry, utilising computer programming to carry out risk modelling, cost-benefit analysis of the fuel management in flight operation hence propose optimisation on current fuel policy.

Creator
Agnes Tang
Supervisor
Cheng-Lung (Richard) Wu
Level
PhD
Plane fuel