Year
2018
Degree Name
Doctor of Philosophy
Department
School of Computing and Information Technology
Abstract
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...
Recommended Citation
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
FoR codes (2008)
0909 GEOMATIC ENGINEERING, 1205 URBAN AND REGIONAL PLANNING, 0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING, 0899 OTHER INFORMATION AND COMPUTING SCIENCES
Unless otherwise indicated, the views expressed in this thesis are those of the author and do not necessarily represent the views of the University of Wollongong.