Time is a fundamental dimension in urban dynamics, but the effect of various definitions of time on urban growth models has rarely been evaluated. In urban growth models such as cellular automata (CA), time has typically been defined as a sequence of discrete time steps. However, most urban growth processes such as land‐use changes are asynchronous. The aim of this study is to examine the effect of various temporal dynamics scenarios on urban growth simulation, in terms of urban land‐use planning, and to introduce an asynchronous parcel‐based cellular automata (AParCA) model. In this study, eight different scenarios were generated to investigate the impact of temporal dynamics on CA‐based urban growth models, and their outputs were evaluated using various urban planning indicators. The obtained results show that different degrees of temporal dynamics lead to various patterns appearing in urban growth CA models, and the application of asynchronous (event‐driven) CA models achieves better simulation results than synchronous models.

中文翻译：

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评估时间动态对城市增长模拟的影响：迈向异步元胞自动机

时间是城市动态的基本维度，但是很少评估时间的各种定义对城市增长模型的影响。在诸如细胞自动机（CA）之类的城市增长模型中，通常将时间定义为一系列离散的时间步长。但是，大多数城市增长过程（例如土地利用变化）都是异步的。这项研究的目的是从城市土地利用规划的角度研究各种时间动态情景对城市增长模拟的影响，并介绍一种基于异步宗地的元胞自动机（AParCA）模型。在本研究中，生成了八种不同的方案来研究时间动态对基于CA的城市增长模型的影响，并使用各种城市规划指标对它们的输出进行评估。