Multi-agent and CA based modeling of future urban growth scenarios

L. Zhang, C.M. Fontaine

    Research output: Contribution in Book/Catalog/Report/Conference proceedingChapter


    In this paper, scenarios of the built environment of a coastal town-Cromer are developed via using an innovative Agent-Based Model (ABM), which distributes housing demand based on algorithms describing interacting agents at the local and regional levels and taking account of the different socio-economic futures, and a CA spatial model is developed in a VR-GIS integrated environment, which is used as the 3D visualization engine to distribute the increased housing demand explicitly to 3D geographical space, which is real-world GIS data based. The scenarios can be used to better understand and estimate the regional climate changes, urban-rural temperature shifts and biodiversity etc.
    Original languageEnglish
    Title of host publication2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
    Number of pages4
    Publication statusPublished - 1 Jan 2010


    Dive into the research topics of 'Multi-agent and CA based modeling of future urban growth scenarios'. Together they form a unique fingerprint.

    Cite this