Geographies of Socio-Economic Inequality

Ham, Maarten van; Manley, David; Tammaru, Tiit

doi:10.2139/ssrn.4114712

SSRN Journal

2022

DOI: 10.2139/ssrn.4114712

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Geographies of Socio-Economic Inequality

Maarten van Ham

David Manley

Tiit Tammaru

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2024

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Cited by 3 publications

(1 citation statement)

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“…High house prices are associated with better quality housing, access to quality urban amenities, such as transport and schools, and less deprived neighbourhoods [8][9][10] . Such a constellation of neighbourhood effects serves to create spatial housing sub-markets that perpetuate socio-economic and health inequalities 11 .…”

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confidence: 99%

Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality

Kenyon,

Arribas-Bel,

Robinson

et al. 2024

npj Urban Sustain

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In this paper we explore the temporal dynamics of spatial inequality in housing prices for Madrid, the capital city of Spain. Spatial inequalities are a concerning feature of urban areas across the globe. It has been suggested that within cities housing prices are becoming more geographically unequal over time, particularly since the 2008 housing market crash. However, more evidence is needed at the intra-urban level to understand neighbourhood house price differences in large urban areas. Changes are analysed during a key period of the housing market bust (2010–2015) and boom (2016–2019), using data from a major housing listing portal. Fine grain space-time analysis of the distribution of housing prices supports an increase in spatial inequality and polarisation at the neighbourhood level. Two spatially differentiated housing sub-markets of high- and low-priced housing are identified. The persistence and growth of spatial house price inequality has important societal implications for the wealth gap and segregation of rich and poor in cities.

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mentioning

confidence: 99%

Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality

Kenyon,

Arribas-Bel,

Robinson

et al. 2024

npj Urban Sustain

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Uncovering Spatial Patterns of Residential Settlements, Segregation, and Vulnerability of Urban Seniors Using Geospatial Analytics and Modeling Techniques

Dao,

Barboza-Salerno

2024

Urban Science

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We harnessed the analytical power of geospatial analysis and modeling techniques, pioneering a novel approach to studying the spatial distribution of households with at least one senior aged 65 or over, known as senior households (SHHs). We developed and implemented a spatial modeling approach that disaggregates the senior household counts obtained from the U.S. Census block data to residential land parcels. This innovative method models the senior household count on each land parcel, generating a detailed, reliable synthetic microspatial dataset for urban senior studies. Robust spatial analysis techniques are then applied to examine senior household spatial distribution in the context of segregation and access vulnerability in the study area. Our research, conducted in the urban setting of Colorado Springs, provides a deeper understanding of the senior residential landscape and identifies vulnerability. Our research findings are not just academic but also practical tools for planners, policymakers, and community advocates in the city to understand senior residential settlements, segregation, and social inequality. Our adaptable approach can be applied using similar modeling and analysis techniques for different study areas. The synthetic data and its generation approach are valuable resources for future urban senior research, enabling further examinations of different senior residential neighborhood typologies beyond basic demographic and socioeconomic aggregated indicators. They can assist studies interested in analyzing the influence of local factors and neighborhood effects on active aging among individuals, as well as simulating individual senior choices and spatial behaviors. Furthermore, they serve as a comparison baseline for future attempts to develop synthetic senior population data with socioeconomic and health characteristics.

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Perspektywa geograficzna badań nierówności społecznych w przestrzeni miast = A geographical perspective of social-inequality research in urban space

Świerkocki

2024

Prz. Geogr.

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Celem artykułu jest usystematyzowanie zagadnień dotyczących badań nad nierównościami w przestrzeni miast – przede wszystkim na podstawie prac naukowców z Polski oraz z krajów Europy Zachodniej i Stanów Zjednoczonych, gdzie badania o tej tematyce mają dłuższą tradycję. Nierówności społeczne powszechnie uważa się za jedno z najważniejszych wyzwań współczesności. Wysoki poziom nierówności społecznych, wyraźny zwłaszcza w obszarach zurbanizowanych, negatywnie rzutuje na jakość życia ich mieszkańców. W artykule opisano współczesne definicje pojęcia nierówności społecznych oraz przedstawiono pojęcia bliskoznaczne. Wyjaśniono wpływ nierówności społecznych na codzienne życie mieszkańców miast. Omówiono także historię badań nad nierównościami oraz najczęściej stosowane podejścia badawcze. W ostatniej części przedstawiono aktualne kierunki badań i perspektywy rozwoju badań o tej tematyce w przyszłości.

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Geographies of Socio-Economic Inequality

Cited by 3 publications

References 32 publications

Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality

Intra-urban house prices in Madrid following the financial crisis: an exploration of spatial inequality

Uncovering Spatial Patterns of Residential Settlements, Segregation, and Vulnerability of Urban Seniors Using Geospatial Analytics and Modeling Techniques

Perspektywa geograficzna badań nierówności społecznych w przestrzeni miast = A geographical perspective of social-inequality research in urban space

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