Examines QoL inequalities and housing market dynamics in Brno, suggesting policy responses for improvement.
This study examines the spatial and temporal dynamics of quality of life (QoL) inequalities in Brno, Czech Republic, between 2011 and 2021, using a composite QoL index comprising 34 indicators across five domains: environmental quality, demographic structure, socio-economic conditions, housing infrastructure, and housing availability. Employing the Theil index, K-medoids cluster analysis, Spearman correlation, and a cross-domain correlation matrix, the study analyses changes in the spatial differentiation of quality of life at the level of municipal districts. Results reveal persistent structural disparities: the environmental domain exhibits the highest inequality in both years, while housing availability shows a marked increase in polarisation driven by rising property prices and uneven supply. Cross-domain correlations indicate a weak positive relationship between environmental quality and socio-economic conditions, consistent with patterns of spatial environmental inequality, though insufficient to constitute direct evidence of environmental injustice. Cluster analysis identifies five stable spatial trajectories with path-dependent characteristics. A weak correlation between housing availability and the composite QoL index (ρ = 0.12 in 2021) points to a partial divergence of housing market dynamics from other QoL dimensions — a pattern linked to financialisation and post-socialist institutional legacies. Interpreted through the capability approach, the findings highlight persistent inequalities in urban opportunity structures and call for integrated policy responses targeting environmental quality and housing cost pressures.
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Hübelová et al. (2026) studied this question.
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