Metropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data

ABSTRACT This paper aims to enrich the current literature on the study of migratory movements in the context of COVID‐19 and the post‐pandemic period. While most of the studies on this topic measure migration using official registers, we propose a new methodology based on the leverage of mobile phone network data, taken from the Madrid region, as a case study. While the use of such data are common in other fields, such as transport and mobility planning, we demonstrate their usefulness in the study of migration. Analysing the case of Madrid, we find new evidence of the changes in migratory trends during COVID‐19, of increased immigration into rural and outer suburban areas and emigration from core urban areas. A geographical description of the new migration trends is provided on different scales (from the national to the metropolitan and municipal scale, including small urban transportation zones), and by socioeconomic group. In addition, we provide some ideas about these trends in the post‐pandemic context, as the evolution of migratory trends varies for different groups.

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Publication Details

Journal
Population Space and Place
Published
2025-03-23
DOI
https://doi.org/10.1002/psp.70017
Citations
2
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
4.35
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article

Metropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data

Gustavo Romanillos, Juan Carlos García Palomares, Raquel Sánchez‐Cauce, Carlos Marigil‐Alba
2 citations
Population Space and Place
Human Mobility and Location-Based Analysis
4.35
article

Metropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data

Gustavo Romanillos, Juan Carlos García Palomares, Raquel Sánchez‐Cauce, Carlos Marigil‐Alba
article en
2 citations

Abstract

ABSTRACT This paper aims to enrich the current literature on the study of migratory movements in the context of COVID‐19 and the post‐pandemic period. While most of the studies on this topic measure migration using official registers, we propose a new methodology based on the leverage of mobile phone network data, taken from the Madrid region, as a case study. While the use of such data are common in other fields, such as transport and mobility planning, we demonstrate their usefulness in the study of migration. Analysing the case of Madrid, we find new evidence of the changes in migratory trends during COVID‐19, of increased immigration into rural and outer suburban areas and emigration from core urban areas. A geographical description of the new migration trends is provided on different scales (from the national to the metropolitan and municipal scale, including small urban transportation zones), and by socioeconomic group. In addition, we provide some ideas about these trends in the post‐pandemic context, as the evolution of migratory trends varies for different groups.

Population Space and PlaceVol. 31(3)
Universidad Complutense de Madrid (ES), Nommon Solutions and Technologies (Spain) (ES)
Openalex Percentile: Top 8%
Human Mobility and Location-Based Analysis
4.35
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Metropolitan Migratory Trends in the Post‐Pandemic Context. Analysis of the Madrid Region Based on Mobile Phone Network Data — Gustavo Romanillos, Juan Carlos García Palomares, et al. · Population Space and Place (2025) | TGRS Research Map | TGRS