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Modeling the geospatial dynamics of residential segregation in three Canadian cities: An agent-based approach

机译:三个加拿大城市住宅隔离地理空间动力学的建模:基于代理的方法

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摘要

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.
机译:长期的居住隔离会加剧城市人口的社会不平等和排斥。现有的隔离模式旨在代表和更好地理解隔离的驱动因素,并评估可能的隔离效应,以应对即将到来的移民人口。然而,这些研究通常不是基于真实的地理空间数据来表示城市环境,更不经常比较城市之间的隔离模式。因此,本研究的目标是实现一个基于代理的模型,模拟移民到达并定居在三个加拿大移民通道时的决策过程,包括多伦多市、卡尔加里市和温哥华大都会。由此产生的模拟隔离空间模式与代表不同种族移民热点位置的真实数据进行了视觉对比。隔离程度与从实际人口普查数据中获得的隔离措施进行了测量和比较。比较了三个研究区域的空间格局和隔离程度。该模型可以作为城市规划过程中知识发现和决策的工具。

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