JPI Urban Europe: Residential segregation in five European countries: A comparative study using individualized scalable neighbourhoods

interactions between individuals who are not alike. Usually, segregation is measured and studied using predfined administrative borders, such as borders between city districts or municipalitiies. In this project, neighborhoods are defined around each individual rather than by using predefined borders. This technique is called "individualized scalable neighborhoods". The project measures the degree of segregation in neighborhoods, visualizes them, and assesses the consequences of segregation for individuals' life courses. The project compares results from five different European countries. In the last report period, the project has produced a number of scholarly publications using data on indvidualized scalable neighborhoods for Norway and other countries. We have also produced a number of interactive maps openly available on the internet.

This project employs an innovative technology for urban analysis that addresses a main concern of contemporary urban policy: urban residential segregation and its effects on social inclusion. International comparisons of residential segregation and the ef fectiveness of various strategies are lacking, because segregation is spatially complex and because geographical units of analysis are different in size and distribution. Our innovative approach uses the increased availability of geocoded individual data to construct individualized scalable neighbourhoods to measure segregation. For comparative research, the advantage of using egocentric neighbourhoods with a predetermined number of neighbours is that it allows direct comparison across national and urban contexts. In ResSegr we will compute measures of socio-demographic segregation based on such neighbourhoods for urban areas in Europe. Based on these measurements, we will compare patterns of segregation, evaluate theories about the driving forces of resi dential segregation and examine effects of area-based programmes on segregation. The method has proven very successful using Swedish micro data. By creating a European database on segregation measures we will enable public and private actors to assess pat terns of segregation in places with different political and economic systems and give tools to fight this substantial threat to social cohesion and the welfare state.