Long‐term residential segregation can exacerbate social inequality and exclusion in urban populations. Existing models of segregation aim to represent and better understand drivers of segregation and assess possible segregation effects in response to incoming immigrant populations. However, these studies are not typically implemented on real geospatial data to represent the urban environment, and even less frequently compare patterns of segregation between cities. Therefore, the objective of this study is to implement an agent‐based model that simulates the decision‐making process of immigrants as they arrive and settle in three Canadian gateways for immigration, including the City of Toronto, the City of Calgary, and Metro Vancouver. The resulting simulated spatial patterns of segregation are visually compared to real data representing the location of hotspots of immigrants of various ethnic origins. The degree of segregation is measured and compared, with measures of segregation obtained from actual census data. The spatial patterns and degree of segregation are compared across the three study areas. The developed model has the potential to be used as a tool for knowledge discovery and decision‐making in the processes of city planning.

中文翻译：

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对加拿大三个城市中居民隔离的地理空间动力学进行建模：基于代理的方法

长期的居住区隔离可能加剧城市人口的社会不平等和排斥。现有的种族隔离模型旨在代表和更好地理解种族隔离的驱动因素，并评估可能出现的种族隔离效应，以应对传入的移民人口。但是，这些研究通常不会在代表城市环境的真实地理空间数据上进行，甚至很少比较城市之间的隔离模式。因此，本研究的目的是实现一个基于代理的模型，该模型模拟移民到达加拿大加拿大的三个移民门户（包括多伦多市，卡尔加里市和大温哥华地区）定居时的决策过程。 。将所得的模拟隔离现象的空间模式与代表不同种族血统的移民热点位置的真实数据进行视觉比较。测量隔离度并将其与从实际普查数据中获得的隔离度进行比较。比较了三个研究区域的空间格局和隔离程度。所开发的模型有潜力用作城市规划过程中知识发现和决策的工具。