A linguistic cellular automata simulation approach for sustainable land development in a fast growing region
A linguistic cellular automata simulation approach for sustainable land development in a fast growing region
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DOI：
10.1016/s0198-9715(97)00003-3
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发表时间：
1996-11
期刊：
影响因子：
--
通讯作者：
Fulong Wu
中科院分区：
文献类型：
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作者：
Fulong Wu
由于经济增长，农村土地向城市土地的迅速转换引起了人们对可持续发展的严重关切。迫切需要了解不同的土地转换政策可能导致的城市情景。在许多方面，这个问题类似于对一种自组织现象的探索，这种现象在微观和局部决策过程中产生宏观模式。本文提出了一种语言模拟方法。作为一个原型，本研究将元胞自动机（CA）与抽象定义的转换规则相结合，以模拟快速发展的大都会城乡结合部的土地利用转换。模糊集理论已被应用于捕捉不协调的土地开发过程。综合办法的一个创新特点是通过“自然语言界面”界定过渡规则，从而更加现实和透明。该模型可以模拟游戏风格的开发场景。通过提供一系列情景，它揭示了某些发展战略中可能危及城市可持续发展的内在风险。
Rapid rural-urban land conversion as a consequence of economic growth has raised serious concerns over sustainable development. There is an urgent need to understand what possible urban scenarios can result from different policies towards land conversions. In many ways, the question resembles the exploration of a self-organising phenomenon which generates macroscopic patterns upon microscopic and local decision-making processes. In this paper a linguistic simulation approach has been developed. As a prototype, the study integrates cellular automata (CA) with heuristically-defined transition rules to simulate land use conversions in the rural-urban fringe of a fast growing metropolis. Fuzzy set theory has been applied to capture uncoordinated land development process. An innovative feature of the integrated approach lies in its definition of transition rules through a “natural language interface”, thus being more realistic and transparent. The model can simulate development scenarios in a gaming style. By providing a series of scenarios, it reveals risks inherent in certain development strategies which may jeopardize sustainable development of the city.