Using digital footprint data to monitor human mobility and support rapid humanitarian responses

Rowe, Francisco ORCID: 0000-0003-4137-0246 (2022) Using digital footprint data to monitor human mobility and support rapid humanitarian responses. REGIONAL STUDIES REGIONAL SCIENCE, 9 (1). pp. 665-668.

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Official URL: http://dx.doi.org/10.1080/21681376.2022.2135458

Abstract

Global warming is increasing the frequency of extreme weather events leading to an increased risk of large-scale population displacements. Since June 2022, Pakistan has recorded destructive flash flooding resulting from melting glaciers and torrential monsoon rainfall. Emergency responses have documented flood-related deaths, injuries and damaged infrastructure–less is known about population displacements resulting from recent floods. Information about these populations and mobility is critical to ensure the appropriate delivery of humanitarian assistance where it is most needed. Lack of granular spatial data in real time has been a key barrier. This article uses digital footprint data from Meta Facebook to identify the patterns of population displacement in Pakistan in near-real time.

Item Type:	Article
Uncontrolled Keywords:	digital footprint data, flooding, geographical data science, human mobility, Pakistan, population displacement
Depositing User:	Symplectic Admin
Date Deposited:	02 Dec 2022 09:40
Last Modified:	09 Mar 2023 11:08
DOI:	10.1080/21681376.2022.2135458
Open Access URL:	https://doi.org/10.1080/21681376.2022.2135458
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3166482