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This study leveraged pseudonymized mobile money interactions combined with cell phone data to shed light on urban migration patterns and deprivation in Tanzania. Call detail records were used to identify individuals who migrated to Dar es Salaam, Tanzania\u2019s largest city. A street survey of the city\u2019s subwards was used to determine which individuals moved to more deprived areas.<jats:italic>t<\/jats:italic>-tests showed that people who settled in poorer neighbourhoods had less money coming into their mobile money account after they moved, but not before. A\u00a0machine learning approach was then utilized to predict which migrants will move to poorer areas of the city, making them arguably more vulnerable to poverty, unemployment and exploitation. Features indicating the strength and location of people\u2019s social connections in Dar es Salaam before they moved (\u2018pull factors\u2019) were found to be most predictive, more so than traditional \u2018push factors\u2019 such as proxies for poverty in the migrant\u2019s source region.<\/jats:p>","DOI":"10.1140\/epjds\/s13688-022-00340-y","type":"journal-article","created":{"date-parts":[[2022,5,8]],"date-time":"2022-05-08T06:02:39Z","timestamp":1651989759000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Using mobile money data and call detail records to explore the risks of urban migration in Tanzania"],"prefix":"10.1140","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1767-9828","authenticated-orcid":false,"given":"Rosa","family":"Lavelle-Hill","sequence":"first","affiliation":[]},{"given":"John","family":"Harvey","sequence":"additional","affiliation":[]},{"given":"Gavin","family":"Smith","sequence":"additional","affiliation":[]},{"given":"Anjali","family":"Mazumder","sequence":"additional","affiliation":[]},{"given":"Madeleine","family":"Ellis","sequence":"additional","affiliation":[]},{"given":"Kelefa","family":"Mwantimwa","sequence":"additional","affiliation":[]},{"given":"James","family":"Goulding","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,8]]},"reference":[{"issue":"2","key":"340_CR1","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1257\/app.3.2.137","volume":"3","author":"A Deaton","year":"2011","unstructured":"Deaton A, Dupriez O (2011) Purchasing power parity exchange rates for the global poor. 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