Socioeconomic inequality is on the rise in major European cities, as are concerns over it, since it is seen as a threat to social cohesion and stability. Surprisingly, relatively little is known about the spatial dimensions of rising socioeconomic inequality. This paper builds on a study of socioeconomic segregation in 12 European cities: Amsterdam, Athens, Budapest, London, Madrid, Oslo, Prague, Riga, Stockholm, Tallinn, Vienna, and Vilnius. Data used derive from national censuses and registers for 2001 and 2011. The main conclusion is that socioeconomic segregation has increased. This paper develops a rigorous multifactor approach to understand segregation and links it to four underlying, partially overlapping, structural factors: social inequalities, globalization and economic restructuring, welfare regimes, and housing systems. Taking into account contextual factors resulted in a better understanding of actual segregation levels, while introducing time lags between structural factors and segregation outcomes will likely further improve the theoretical model.
ARTICLE HISTORY
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Most of the research on urban change in the formerly centrally planned countries has focused on the more prosperous capital cities of Warsaw, Prague, Berlin, Budapest and Tallinn. Thus, our understanding of on-going urban transformations in this part of the world is skewed towards a handful of urban areas. This paper takes a different approach by studying the post-socialist transformations of the socio-spatial structure of a second-tier city, based on data from Łódź, Poland. The results reveal the socio-spatial restructuring of Łódź at both the macro and micro levels. Most importantly, despite being organised at a wider scale by stable social areas, at the micro level there are dynamic processes of socio-spatial segregation throughout the city that contribute to the fine-grained fragmentation of social space. From an empirical perspective, this means that either a stable structure or growing fragmentation can be identified, depending on the scale of analysis.
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