中文摘要：

城市增长过程研究一直是地理学界长期关注的焦点问题之一。随着计算机技术的发展，城市增长模拟研究在理论和技术层面都有较快的发展。为进一步梳理城市增长模拟研究的发展历程，探寻相关研究的发展方向，在简单回顾城市空间结构和静态城市模型的基础上，重点对动态城市模型中以元胞自动机（Cellular automata，CA）和基于智能体建模（Agent—Basedmod eling，ABM）为代表的离散动力学模型的研究成果进行梳理，并从城市增长模型的理论、概念、属性、结构以及模拟平台5个方面进行对比分析。研究发现，城市增长模拟的动态模型能体现城市发展和演化的复杂性特点，而智能体建模方法因其具有对城市发展诸多要素及其相互作用的综合考虑而具有更大的优势。

英文摘要：

The progress of urban growth has been one of the most important questions in urban study. The modeling about the urban growth had a great progress along with the development of the computer sciences. In order to understand more about urban growth simulation studies, this paper focuses on the review of the urban growth simulation models, such as Cellular automata（CA）and Agent-Based modeling （ABM）. After comparing the theory, concepts, properties, structures and simulation platforms of different urban growth models, we can find that the ABM has greater advantages in urban growth simulation.