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In this work we aim at studying spatio-temporal patterns of the population movement across a large city. We exploit the information on people position collected by the smartphone application of the Earthquake Network project and we adopt a dynamic model-based clustering approach to identify the patterns. The approach is applied to smartphone data collected in Santiago (Chile) over the period February-April 2016. Some preliminary results are presented and discussed.