University of Wollongong
Browse

Geolocation of a Synthetic Population into an Automatically Generated Dwelling Stock

Download (13.3 MB)
thesis
posted on 2024-11-12, 12:00 authored by Ajith Shamila Jayasekare
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...

History

Year

2018

Thesis type

  • Doctoral thesis

Faculty/School

School of Computing and Information Technology

Language

English

Disclaimer

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.

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC