Abstract
The mobility restrictions related to COVID-19 pandemic have resulted in the biggest disruption to individual mobilities in modern times. The crisis is clearly spatial in nature, and examining the geographical aspect is important in understanding the broad implications of the pandemic. The avalanche of mobile Big Data makes it possible to study the spatial effects of the crisis with spatiotemporal detail at the national and global scales. However, the current crisis also highlights serious limitations in the readiness to take the advantage of mobile Big Data for social good, both within and beyond the interests of health sector. We propose two strategical pathways for the future use of mobile Big Data for societal impact assessment, addressing access to both raw mobile Big Data as well as aggregated data products. Both pathways require careful considerations of privacy issues, harmonized and transparent methodologies, and attention to the representativeness, reliability and continuity of data. The goal is to be better prepared to use mobile Big Data in future crises.
Document Type
Commentary
Publication Date
7-1-2020
Digital Object Identifier (DOI)
https://doi.org/10.1177/2053951720952088
Funding Information
AP was funded by the European Union through the Urban Innovative Action Healthy Outdoor Premises for Everyone (UIA03-240) and the Interreg Baltic Sea Programme project Mobility and Accessibility in Rural Areas (#R100 MARA). OJ was funded by the Kone Foundation. TT was funded by the University of Helsinki and Osk. Huttunen Foundation (Visiting Fellow at Clare Hall College, Cambridge).
Repository Citation
Poom, Age; Järv, Olle; Zook, Matthew; and Toivonen, Tuuli, "COVID-19 Is Spatial: Ensuring that Mobile Big Data Is Used for Social Good" (2020). Geography Faculty Publications. 25.
https://uknowledge.uky.edu/geography_facpub/25
Notes/Citation Information
Published in Big Data & Society, v. 7, issue 2.
© The Author(s) 2020
This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).