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Agent‐Based Urban Modeling: Simulating Urban Growth and Subsequent Landscape Change in Suzhou, China
This chapter contains sections titled:
Introduction
Design, construction, calibration, and validation of ABM
Case study – desakota development in Suzhou, China
The Suzhou Urban Growth Agent Model
Summary and conclusion
References
Agent‐Based Urban Modeling: Simulating Urban Growth and Subsequent Landscape Change in Suzhou, China
This chapter contains sections titled:
Introduction
Design, construction, calibration, and validation of ABM
Case study – desakota development in Suzhou, China
The Suzhou Urban Growth Agent Model
Summary and conclusion
References
Agent‐Based Urban Modeling: Simulating Urban Growth and Subsequent Landscape Change in Suzhou, China
Yang, Xiaojun (editor) / Xie, Yichun (author) / Yang, Xining (author)
Urban Remote Sensing ; 347-357
2011-04-15
11 pages
Article/Chapter (Book)
Electronic Resource
English
relative operating characteristic (ROC) method ‐ model validity in context of land‐use‐cover changes , highly, disaggregate dynamic models ‐ based on cellular automata (CA), popular as metaphors for a complex system , model construction implementation process ‐ coding model design, using existing tools or programming from scratch for agent models , agent‐based urban modeling ‐ simulating urban growth, and landscape change in Suzhou, China , Suzhou Urban Growth Agent Model (SUGAM) ‐ from Wuxian urban growth agent model, developed by Xie, Batty and Zhao , urban landscape changes ‐ outcomes of urban growth , true urban complexity, lost in process of generalization ‐ forced by mathematical tractability , simulation results, questions on rural urbanization in China ‐ rural urbanization, showing a very positive response to economic prosperity , predicted urban growth from SUGAM ‐ in the years of 2005 and 2010 , agent‐based modeling (ABM), as a computational model ‐ simulating actions and interactions of autonomous individuals in a network
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