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dc.contributor.authorSanya, Rahman
dc.contributor.authorLukyamuzi, Martin
dc.date.accessioned2018-02-23T09:44:50Z
dc.date.available2018-02-23T09:44:50Z
dc.date.issued2016
dc.identifier.citationSanya, R. and Mubangizi, M., 2016, August. Using mobile phone data to study dynamics of rural-urban mobility. In Data Science and Engineering (ICDSE), 2016 International Conference on (pp. 1-6). IEEE.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12280/487
dc.description.abstractUnderstanding the dynamics of human mobility is important for addressing challenges caused by phenomena that rely on mobility, such as infectious disease transmission. Although various data sources exist for modeling human mobility, most current sources face challenges of resolution, cost, scalability, and privacy. We used population-based mobile phone communication data to study the dynamics of rural-urban mobility. We have proposed a measure of popularity, which we used to identify the most and the least popular urban areas for rural-urban movement. The concept of hierarchical population mobility is also suggested that can be used to derive a high-level visualization of spatial population movement patterns. The results from our experiments are quite promising.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectUrban areas, Sociology, Statistics, Poles and towers, Mobile handsets, Area measurement, Telecommunicationsen_US
dc.titleUsing mobile phone data to study dynamics of rural-urban mobilityen_US
dc.typeArticleen_US


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