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

L. Zhang; C.M. Fontaine

doi:10.1109/ICICTA.2010.753

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

L. Zhang, C.M. Fontaine

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Abstract

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 language	English
Title of host publication	2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Pages	740-743
Number of pages	4
Volume	2
DOIs	https://doi.org/10.1109/ICICTA.2010.753
Publication status	Published - 1 Jan 2010

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10.1109/ICICTA.2010.753

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

Abstract

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