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GIS-based urban modelling: practices, problems, and prospects.

D Z Sui

    International Journal of Geographical Information Science : IJGIS
    |September 26, 2002
    PubMed
    Summary
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    Geographic Information System (GIS)-based urban modeling requires new approaches. Current methods are technology-driven, limiting urban model development and necessitating advancements in spatial-temporal concepts for informational cities.

    Area of Science:

    • Urban planning and Geographic Information Science (GISci).
    • Spatial analysis and urban modeling.

    Background:

    • Current GIS-based urban modeling practices are often technology-driven, lacking sufficient justification and verification.
    • Existing GIS technology imposes limitations on urban models due to its absolute view of space and time.

    Purpose of the Study:

    • To review practices, problems, and prospects of GIS-based urban modeling.
    • To propose a reframed research agenda from a GISci perspective for future urban modeling.

    Main Methods:

    • Critical review of current GIS-based urban modeling approaches.
    • Analysis of limitations imposed by GIS on urban model development.
    • Conceptualization of a GISci-informed research agenda.

    Main Results:

    Keywords:
    Computer Programs And ProgrammingCritiqueEconomic FactorsGeographic FactorsInformationInformation ProcessingModels, TheoreticalPopulationResearch MethodologySpatial DistributionTechnologyUrban Spatial DistributionWorld

    Related Experiment Videos

    • Identified current GIS-based urban modeling as technology-driven and inadequately verified.
    • Highlighted the constraints of absolute spatial-temporal views in GIS for urban modeling.
    • Proposed a new research direction for integrating urban modeling with GIS.

    Conclusions:

    • Future GIS-urban modeling integration requires developing new models for informational cities.
    • Incorporating multi-dimensional space-time concepts within GIS is crucial.
    • Extending feature-based models within an interoperable paradigm is necessary for advanced urban modeling.