Doctor of Philosophy
School of Computing and Information Technology
Urban planning focuses on the development and design of space within urban environments. Planning processes have become more complex with population growth and an increase in urban activities. In such complex environment, computational tools play a vital role (e.g. Planning Support Systems (PSSs)) by allowing planners, managers and researchers harness the power of data to drive evidence-based planning. Representations of human interactions and their involvements need to be included into such planning systems. This demand for detailed information about the resident population is usually fulfilled by artificially generated population based on available Census data. Despite the richness in demographic attributes, the location resolution of such synthetic populations remains at the spatial resolution specified by the input census data...
Jayasekare, Ajith Shamila, Geolocation of a Synthetic Population into an Automatically Generated Dwelling Stock, Doctor of Philosophy thesis, School of Computing and Information Technology, University of Wollongong, 2018. https://ro.uow.edu.au/theses1/844
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