Mr Pong Lung (Dragon) Lau
MSc Student
+61 2 9385 7554

About Dragon


  • A graduate in Physics from Hong Kong University of Science and Technology, and a Master degree by research from UNSW Aviation.
  • A current PhD candidate focusing on the topic of spatiotemporal tourism flow.
  • Specialising in Mathematics with an interest of bringing insights and applications to air transport and tourism research.
  • Participating in industry projects applying personal programming skills, website design and data analysis experience.
  • Publishing in various world-leading (A*) tourism and air transport academic journals including Tourism Management and Journal of Travel Research.
  • Possessing tutoring experience in undergraduate courses teaching mainly on economics, statistics and mathematics.
  • Seeking for an academic career in the field of economics, tourism and air transport.

 

Research Details


Research Title: 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:

  • The identification and empirical examination of the destination groups/tiers observed in the spatial distribution of travel and tourism in a given context (e.g., Australia, or Australia-Asia).
  • The development of a (geographical) economics approach to connect the visitor mobility and the theoretical assumptions of statistical mechanics for the power law.
  • The detection and evaluation of distributional patterns, including power law and destination groups, by modifying and developing spatial inequality/concentration measurement methods to analyse the visitor distribution.

The outcomes may assist the monitoring and management of sustainable tourism and mobility at all scales. The research may also provide insight into the forecasting of tourist’s distribution and the evaluation of impact of policy/law changes or structural shift in air transport and tourism industries on rankings and tiers.