Directory of
Higher degree by research students

Pan Liao

Email: pan.liao@mymail.unisa.edu.au


About me


Pan Liao currently works at the School of Art, Architecture and Design, University of South Australia. Pan does research in Quantitative Social Research.

His research interests mainly include: historic Chinese tows, space syntax, land use, and heritage tourism.


Thesis


Computationally Analysing the Spatial Pattern and Functional Change of Chinese Historic Towns Through a Heritage Tourism Perspective: Lessons from Selected Typical Chinese Historic Towns


Research publications


Liao, P., Rofe, M., Brisbin, C. & Gu, N. 2018. Towards a new computational approach to conserving the spatial authenticity of historic towns within a heritage tourism framework. In: ROGÉRIO AMOEDA, S. L., CRISTINA PINHEIRO, JUAN M. SANTIAGO ZARAGOZA, JULIO CALVO SERRANO, FABIAN GARCIA CARRILLO, ed. Heritage 2018 - Proceedings of the 6th international conference on heritage and sustainable development, 2018 Granada, Spain. Green Lines Institute, 1769-1780.

Guo, Q., Zou, G. & Liao, P. Discovering Architectural Dynamic Knowledge: An Extension Clustering Approach.  2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 23-25 Nov. 2018 2018. 76-83.

Liao, P., Gu, N., Brisbin, C., Rofe, M. & Soltani, S. Computationally Mapping Spatial Properties of Chinese Historic Towns using Space Syntax. In: HAEUSLER, M., SCHNABEL, M. A. & FUKUDA, T., eds. Intelligent & Informed - Proceedings of the 24th CAADRIA Conference, 2019 Wellington, New Zealand. 361-370.

Liao, P., Gu, N., Brisbin, C. & Rofe, M. 2019. Discovering the spatial properties of Chinese historic towns through mathematical means: An evidence-based approach. Proceedings of the 12th Space Syntax Symposium. Beijing, China.


Associations


Digital Transformations Research Group