Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland

The coronavirus disease 2019 (COVID-19) crisis resulted in unprecedented changes in the spatial mobility of people across societies due to the restrictions imposed. This also resulted in unexpected mobility and population dynamics that created a challenge for crisis preparedness, including the mobil...

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Main Authors: Elias Willberg, Olle Järv, Tuomas Väisänen, Tuuli Toivonen
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:ISPRS International Journal of Geo-Information
Subjects:
Online Access:https://www.mdpi.com/2220-9964/10/2/103
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author Elias Willberg
Olle Järv
Tuomas Väisänen
Tuuli Toivonen
author_facet Elias Willberg
Olle Järv
Tuomas Väisänen
Tuuli Toivonen
author_sort Elias Willberg
collection DOAJ
description The coronavirus disease 2019 (COVID-19) crisis resulted in unprecedented changes in the spatial mobility of people across societies due to the restrictions imposed. This also resulted in unexpected mobility and population dynamics that created a challenge for crisis preparedness, including the mobility from cities during the crisis due to the underlying phenomenon of multi-local living. People changing their residences can spread the virus between regions and create situations in which health and emergency services are not prepared for the population increase. Here, our focus is on urban–rural mobility and the influence of multi-local living on population dynamics in Finland during the COVID-19 crisis in 2020. Results, based on three mobile phone datasets, showed a significant drop in inter-municipal mobility and a shift in the presence of people—a population decline in urban centres and an increase in rural areas, which is strongly correlated to secondary housing. This study highlights the need to improve crisis preparedness by: (1) acknowledging the growing importance of multi-local living, and (2) improving the use of novel data sources for monitoring population dynamics and mobility. Mobile phone data products have enormous potential, but attention should be paid to the varying methodologies and their possible impact on analysis.
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spelling doaj.art-70bc204f891a484583e646db3ed3134c2023-12-11T18:06:26ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-02-0110210310.3390/ijgi10020103Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in FinlandElias Willberg0Olle Järv1Tuomas Väisänen2Tuuli Toivonen3Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, FI-00014 Helsinki, FinlandDigital Geography Lab, Department of Geosciences and Geography, University of Helsinki, FI-00014 Helsinki, FinlandDigital Geography Lab, Department of Geosciences and Geography, University of Helsinki, FI-00014 Helsinki, FinlandDigital Geography Lab, Department of Geosciences and Geography, University of Helsinki, FI-00014 Helsinki, FinlandThe coronavirus disease 2019 (COVID-19) crisis resulted in unprecedented changes in the spatial mobility of people across societies due to the restrictions imposed. This also resulted in unexpected mobility and population dynamics that created a challenge for crisis preparedness, including the mobility from cities during the crisis due to the underlying phenomenon of multi-local living. People changing their residences can spread the virus between regions and create situations in which health and emergency services are not prepared for the population increase. Here, our focus is on urban–rural mobility and the influence of multi-local living on population dynamics in Finland during the COVID-19 crisis in 2020. Results, based on three mobile phone datasets, showed a significant drop in inter-municipal mobility and a shift in the presence of people—a population decline in urban centres and an increase in rural areas, which is strongly correlated to secondary housing. This study highlights the need to improve crisis preparedness by: (1) acknowledging the growing importance of multi-local living, and (2) improving the use of novel data sources for monitoring population dynamics and mobility. Mobile phone data products have enormous potential, but attention should be paid to the varying methodologies and their possible impact on analysis.https://www.mdpi.com/2220-9964/10/2/103COVID-19mobile phone datahuman mobilitymulti-local livingdynamic population
spellingShingle Elias Willberg
Olle Järv
Tuomas Väisänen
Tuuli Toivonen
Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland
ISPRS International Journal of Geo-Information
COVID-19
mobile phone data
human mobility
multi-local living
dynamic population
title Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland
title_full Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland
title_fullStr Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland
title_full_unstemmed Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland
title_short Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland
title_sort escaping from cities during the covid 19 crisis using mobile phone data to trace mobility in finland
topic COVID-19
mobile phone data
human mobility
multi-local living
dynamic population
url https://www.mdpi.com/2220-9964/10/2/103
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