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

Author

Listed:
  • Filipe Batista e Silva

    (European Commission, Joint Research Centre)

  • Sérgio Freire

    (European Commission, Joint Research Centre)

  • Marcello Schiavina

    (European Commission, Joint Research Centre)

  • Konštantín Rosina

    (European Commission, Joint Research Centre
    Institute of Geography, Slovak Academy of Sciences)

  • Mario Alberto Marín-Herrera

    (European Commission, Joint Research Centre)

  • Lukasz Ziemba

    (European Commission, Joint Research Centre)

  • Massimo Craglia

    (European Commission, Joint Research Centre)

  • Eric Koomen

    (School of Business and Economics, Vrije Universiteit Amsterdam)

  • Carlo Lavalle

    (European Commission, Joint Research Centre)

Abstract

The knowledge of the spatial and temporal distribution of human population is vital for the study of cities, disaster risk management or planning of infrastructure. However, information on the distribution of population is often based on place-of-residence statistics from official sources, thus ignoring the changing population densities resulting from human mobility. Existing assessments of spatio-temporal population are limited in their detail and geographical coverage, and the promising mobile-phone records are hindered by issues concerning availability and consistency. Here, we present a multi-layered dasymetric approach that combines official statistics with geospatial data from emerging sources to produce and validate a European Union-wide dataset of population grids taking into account intraday and monthly population variations at 1 km2 resolution. The results reproduce and systematically quantify known insights concerning the spatio-temporal population density structure of large European cities, whose daytime population we estimate to be, on average, 1.9 times higher than night time in city centers.

Suggested Citation

  • Filipe Batista e Silva & Sérgio Freire & Marcello Schiavina & Konštantín Rosina & Mario Alberto Marín-Herrera & Lukasz Ziemba & Massimo Craglia & Eric Koomen & Carlo Lavalle, 2020. "Uncovering temporal changes in Europe’s population density patterns using a data fusion approach," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18344-5
    DOI: 10.1038/s41467-020-18344-5
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    Cited by:

    1. Wan Ting Katty Huang & Pierre Masselot & Elie Bou-Zeid & Simone Fatichi & Athanasios Paschalis & Ting Sun & Antonio Gasparrini & Gabriele Manoli, 2023. "Economic valuation of temperature-related mortality attributed to urban heat islands in European cities," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Shaoqing Geng & Hanping Hou, 2021. "Demand Stratification and Prediction of Evacuees after Earthquakes," Sustainability, MDPI, vol. 13(16), pages 1-22, August.

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