Social Work

Uncovering temporal changes in Europe's population density patterns using a data fusion approach

F. B. E. Silva, S. Freire, et al.

Discover the groundbreaking research by Filipe Batista e Silva and colleagues at the European Commission, which unveils a novel multi-layered dasymetric approach to map population distribution across the European Union. This study not only innovates in data integration but also reveals fascinating insights into the spatio-temporal population dynamics in major cities, highlighting that daytime populations can be nearly twice that of nighttime.

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Abstract

Knowledge of population distribution is crucial for various applications. However, existing assessments are limited. This study presents a multi-layered dasymetric approach combining official statistics with geospatial data to produce a European Union-wide dataset of population grids at 1 km² resolution, accounting for intraday and monthly variations. Results quantify spatio-temporal population density in large European cities, estimating daytime population in city centers to be 1.9 times higher than nighttime population.

Publisher

Nature Communications

Published On

Sep 15, 2020

Authors

Filipe Batista e Silva, Sérgio Freire, Marcello Schiavina, Konštantín Rosina, Mario Alberto Marín-Herrera, Lukasz Ziemba, Massimo Craglia, Eric Koomen, Carlo Lavalle

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