Title :
Multi-agent and CA Based Modeling of Future Urban Growth Scenarios
Author :
Zhang, Leshan ; Fontaine, C.M.
Author_Institution :
ORSI, Ocean Univ. of China, Qingdao, China
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.
Keywords :
data visualisation; geographic information systems; multi-agent systems; 3D geographical space; 3D visualization engine; CA based modeling; VR-GIS integrated environment; coastal town Cromer; future urban growth scenario; innovative agent based model; multi-agent modelling; real-world GIS data; socio-economic future; Automation; Biodiversity; Data visualization; Engines; Geographic Information Systems; Geology; Marine technology; Ocean temperature; Predictive models; Sea measurements; Agent based model; CA; scenario; urban dynamic simulation;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.753
