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

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 migration patter...

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Detalles Bibliográficos
Autores principales: Lavelle-Hill, Rosa, Harvey, John, Smith, Gavin, Mazumder, Anjali, Ellis, Madeleine, Mwantimwa, Kelefa, Goulding, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079216/
https://www.ncbi.nlm.nih.gov/pubmed/35571071
http://dx.doi.org/10.1140/epjds/s13688-022-00340-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079216/
https://www.ncbi.nlm.nih.gov/pubmed/35571071
http://dx.doi.org/10.1140/epjds/s13688-022-00340-y

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