The FUME project investigated how migration has shaped Amsterdam, Rome, Copenhagen, and Krakow, using data to understand segregation patterns. The findings indicate that despite variations in size, foreign population structure, and migration history, residential segregation, measured using grid cell level data, is surprisingly similar in three cities – Amsterdam, Copenhagen, and Rome. However, Krakow stands out as an exception due to its recent immigrant influx and a smaller migrant population. Even in Krakow, there’s a noticeable downward trend in the dissimilarity index, reflecting a more even allocation of migrants across the city.
The storymap includes population estimates and projections by foreign status for cities, which allows decision-makers to use the data in a very flexible way. To achieve this, cutting-edge methods were used such as machine learning and the most available spatially detailed data that is available is collected. The harmonized set of historical data and results of multi-scenario demographic projections allows researchers to study not only past spatial distribution, but also possible futures of spatial processes in cities under different national and regional scenarios; not only those related to population and migration (e.g., changes in the size and structure of mobility flows), but also scenarios of urban development (e.g., investments in infrastructure, housing, transport).
