As human society and technology keep making progress, the urbanization is accelerated nowadays. Increasingly dense population and limited land resources have caused cities to grow in a vertical direction. Given the broad distribution of coastal cities in Australia, we can see their distinctive urban development features brought by the unique climate and geographical condition. Compared with the qualitative description, the advanced technique of modelling could be more efficient to objectively reflect the impact of human-environment interactions on urban development. Therefore, it can provide more forward-looking suggestions and solutions for decision makers in urban planning. This topic is based on the traditional cellular automata, aiming at using irregular polygons as basic elements to carry out a land boundary model of coastal cities. Then expand the model to the third dimension to deal with the vertical growth. Brisbane will be used as the main research object to validate the model and test its performance. Born in the era of big data, it is also innovative to introduce machine learning algorithms to adapt the new modelling approach to different test cities, in which way promotes the revolution of urban modelling from automation to intelligence.

Funding: UQ Research Training Program

Advisory Team: Professor Yan Liu, Professor Jonathan Corcoran, Dr Scott Lieske

Project members

Yibo WANG

PhD Candidate