The spatio-temporal evolution of social inequalities in cities: a multidimensional, multiscalar and longitudinal approach for neighbourhood classification

IF 6 1区 经济学 Q1 URBAN STUDIES
Ignacio Urria , Ana Petrović , Maarten van Ham , David Manley
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Abstract

Understanding the spatial patterns of social inequalities has been a longstanding concern in urban studies. Geodemographic classifications, which group neighbourhoods based on multiple social and physical dimensions, offer a useful tool for this purpose. However, most classifications rely on fixed single-scale administrative boundaries, while studies that adopt multiscale approaches often focus on a single dimension and cover only limited time periods. This limits our understanding of how urban social inequalities evolve over time and across spatial scales. In this study, we extend the geodemographic approach to incorporate multiple dimensions, time periods, and geographical scales, enabling a more comprehensive analysis of the spatio-temporal configuration of urban change. We develop multidimensional, multiscale, and longitudinal spatial profiles of residential contexts in the Metropolitan Agglomeration of Amsterdam (MAA) using bespoke neighbourhoods constructed from detailed population register data (1999–2022). Our results show that the interaction of socioeconomic status, migration background, life-course stages, and housing tenure provides a richer understanding of urban stratification than traditional models based solely on income or ethnicity. The longitudinal perspective reveals distinct timing differences in urban reconfigurations, such as gentrification and displacement, which emerge locally and consolidate more broadly over time. The multiscale approach highlights how patterns of urban change are scale-dependent, with large-scale dynamics, such as poverty suburbanisation and inner-city gentrification, coexisting with the formation of smaller enclaves in areas undergoing or at risk of change. These findings highlight the need for integrated multidimensional, temporal, and multiscale frameworks to better capture the evolving nature of sociospatial inequalities in cities.
城市社会不平等的时空演变:一个多维、多标量和纵向的邻里分类方法
理解社会不平等的空间格局一直是城市研究中一个长期关注的问题。地理人口分类是根据多个社会和物理维度对社区进行分类,为实现这一目标提供了一个有用的工具。然而,大多数分类依赖于固定的单一尺度行政边界,而采用多尺度方法的研究往往侧重于单一维度,只涵盖有限的时间段。这限制了我们对城市社会不平等如何随时间和空间尺度演变的理解。在本研究中,我们扩展了地理人口统计学方法,将其纳入多个维度、时间周期和地理尺度,从而能够更全面地分析城市变化的时空结构。我们利用详细的人口登记数据(1999年至2022年)构建的定制社区,开发了阿姆斯特丹大都市区(MAA)住宅环境的多维、多尺度和纵向空间轮廓。我们的研究结果表明,社会经济地位、移民背景、生命历程阶段和住房使用权的相互作用比仅基于收入或种族的传统模型更能理解城市分层。纵向视角揭示了城市重新配置中明显的时间差异,如中产阶级化和流离失所,随着时间的推移,这些变化在局部出现,并在更广泛的范围内巩固。多尺度方法强调了城市变化的模式是如何依赖于规模的,具有大规模的动态,例如贫困郊区化和内城高档化,与正在发生变化或面临变化风险的地区形成的较小飞地共存。这些发现突出表明,需要建立多维、时间和多尺度的综合框架,以更好地捕捉城市社会空间不平等的演变本质。
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来源期刊
Cities
Cities URBAN STUDIES-
CiteScore
11.20
自引率
9.00%
发文量
517
期刊介绍: Cities offers a comprehensive range of articles on all aspects of urban policy. It provides an international and interdisciplinary platform for the exchange of ideas and information between urban planners and policy makers from national and local government, non-government organizations, academia and consultancy. The primary aims of the journal are to analyse and assess past and present urban development and management as a reflection of effective, ineffective and non-existent planning policies; and the promotion of the implementation of appropriate urban policies in both the developed and the developing world.
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