Estimating inter-regional mobility during disruption: Comparing and combining different data sources

A quantitative understanding of people's mobility patterns is crucial for many applications. However, it is difficult to accurately estimate mobility, in particular during disruption such as the onset of the COVID-19 pandemic. Here, we investigate the use of multiple sources of data from mobile...

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Bibliographic Details
Main Authors: Sara Heydari, Zhiren Huang, Takayuki Hiraoka, Alejandro Ponce de León Chávez, Tapio Ala-Nissila, Lasse Leskelä, Mikko Kivelä, Jari Saramäki
Format: Default Article
Published: 2022
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Online Access:https://hdl.handle.net/2134/22086650.v1
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