Aggregated models, such as spatial interaction (SIM) models are widely used in location analysis. Despite their popularity, there are certain limitations to their use. In particular, the method struggles to account for the passing-by population and multi-purpose trips of retail clients, temporal changes in accessibility and some bottom-up processes potentially important for services. Agent-based modelling (ABM) is a promising technique that attempts to address all these problems. However, it still lacks examples of real-world applications. This article aims to provide an example of how hybrid ABM (H-ABM) can be built on a SIM foundation, by incorporating most of its ideas, such as distance-decay function, facility attractiveness parameters and demand elasticity. The author aligns the two models as close as possible and compares their input data, calibration procedures and results. In the final analysis, the hybrid agent-based model proved to be more realistic because it incorporated the time-space variability of supply (i.e., limited numbers of available places in swimming pools), demand (the popularity of certain entry hours) and transport (traffic jams during rush hours). The spatial interaction model was much faster to execute and turned out to be more convenient for more straightforward applications, which do not require detailed data concerning individuals.

中文翻译：

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比较空间交互和基于混合代理的建模方法：在服务位置分析中的应用

聚合模型（例如空间交互（SIM）模型）广泛用于位置分析。尽管它们很受欢迎，但是它们的使用还是有一定的局限性。特别地，该方法难以解决零售客户的过客人数和多用途旅行，可及性的暂时变化以及一些对服务潜在重要的自下而上的过程。基于代理的建模（ABM）是一种有前途的技术，它试图解决所有这些问题。但是，它仍然缺少实际应用程序的示例。本文旨在提供一个示例，说明如何通过结合其大多数想法（例如距离衰减函数，设施吸引力参数和需求弹性）在SIM卡基础上构建混合ABM（H-ABM）。作者将两个模型尽可能地对齐，并比较了它们的输入数据，校准程序和结果。归根结底，基于混合代理的模型被证明是更现实的，因为它结合了供应（即游泳池中可用场所的数量有限），需求（某些进入时间的普及）和运输的时空可变性。 （高峰时段交通拥堵）。空间交互模型的执行速度要快得多，对于更直接的应用程序来说更方便，因为这些应用程序不需要有关个人的详细数据。