Micro-scale Simulation of the Macro Urban Form: Opportunities for Exploring Urban Change and Adaptation

被引：0

作者：

Baynes, Tim ^{[1
]}

Heckbert, Scott ^{[1
]}

机构：

[1] CSIRO Climate Adaptat Flagship, N Ryde, NSW 1670, Australia

来源：

MULTI-AGENT-BASED SIMULATION X | 2010年 / 5683卷

关键词：

urban growth; agent-based modeling; social laboratory; data driven simulation; LAND-USE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Agent based models (ABM) and cellular automata (CA) micro-scale modeling have found abundant application in the area of urban land use and transport planning. These platforms enable a rich spatial representation of residential behavior. We present an urban ABM that deliberately emphasizes a sparse set of rules that influence agents' settlement decisions which interact with detailed spatial data on the geography and climate of a city region. Preliminary results are compared with historical data (1851 to 2001) of the urban growth of the City of Melbourne, the major urbanized area of the State of Victoria, Australia. We discuss potential extensions to the model and its value as an exploratory device for different transport and climate change scenarios.

引用

页码：14 / 24

页数：11

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