Papers

MAPLID: multi-label identification of urban functions using mobile phone data

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Authors: Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo and Domingo Ortiz-Boyer Overview Mobile-phone network data provide valuable information about the temporal activity and functional structure of urban and regional areas. However, conventional place-identification and clustering methods usually assign a single category—such as residential or work—to each location. This representation oversimplifies mixed-use urban environments, where several functions may coexist … Read more

SAMPLID: supervised identification of meaningful places using mobile phone data

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Authors: Manuel Mendoza-Hurtado, Juan A. Romero-del-Castillo and Domingo Ortiz-Boyer Abstract Mobile-phone network data provide valuable information about the spatial and temporal distribution of population activity. These data can support the identification of meaningful urban areas, such as residential and employment zones, but most previous studies have relied on unsupervised clustering methods. This study introduces SAMPLID—Supervised Approach for … Read more