Next Article in Journal
Modeling of the German Wind Power Production with High Spatiotemporal Resolution
Next Article in Special Issue
The Impact of COVID-19 on Crime: A Spatial Temporal Analysis in Chicago
Previous Article in Journal
Machine Learning-Based Processing Proof-of-Concept Pipeline for Semi-Automatic Sentinel-2 Imagery Download, Cloudiness Filtering, Classifications, and Updates of Open Land Use/Land Cover Datasets
Article

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

1
Digital Geography Lab, Department of Geosciences and Geography, University of Helsinki, FI-00014 Helsinki, Finland
2
Helsinki Institute of Sustainability Science, Institute of Urban and Regional Studies, University of Helsinki, FI-00014 Helsinki, Finland
*
Author to whom correspondence should be addressed.
Academic Editors: Wolfgang Kainz and Ed Manley
ISPRS Int. J. Geo-Inf. 2021, 10(2), 103; https://doi.org/10.3390/ijgi10020103
Received: 28 November 2020 / Revised: 15 February 2021 / Accepted: 19 February 2021 / Published: 23 February 2021
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. View Full-Text
Keywords: COVID-19; mobile phone data; human mobility; multi-local living; dynamic population COVID-19; mobile phone data; human mobility; multi-local living; dynamic population
Show Figures

Figure 1

MDPI and ACS Style

Willberg, E.; Järv, O.; Väisänen, T.; Toivonen, T. Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland. ISPRS Int. J. Geo-Inf. 2021, 10, 103. https://doi.org/10.3390/ijgi10020103

AMA Style

Willberg E, Järv O, Väisänen T, Toivonen T. Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland. ISPRS International Journal of Geo-Information. 2021; 10(2):103. https://doi.org/10.3390/ijgi10020103

Chicago/Turabian Style

Willberg, Elias, Olle Järv, Tuomas Väisänen, and Tuuli Toivonen. 2021. "Escaping from Cities during the COVID-19 Crisis: Using Mobile Phone Data to Trace Mobility in Finland" ISPRS International Journal of Geo-Information 10, no. 2: 103. https://doi.org/10.3390/ijgi10020103

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop