Using mobile money data and call detail records to explore the risks of urban migration in Tanzania

Using mobile money data and call detail records to explore the risks of urban migration in Tanzania

Abstract Understanding what factors predict whether an urban migrant will end up in a deprived neighbourhood or not could help prevent the exploitation of vulnerable individuals. This study leveraged pseudonymized mobile money interactions combined with cell phone data to shed light on urban migrati...

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Bibliographic Details
Main Authors: Rosa Lavelle-Hill, John Harvey, Gavin Smith, Anjali Mazumder, Madeleine Ellis, Kelefa Mwantimwa, James Goulding
Format: Article
Language:English
Published: SpringerOpen 2022-05-01
Series:EPJ Data Science
Subjects:
Mobile money
Machine learning
Migration
Call detail records
Exploitation
Tanzania
Online Access:https://doi.org/10.1140/epjds/s13688-022-00340-y

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