The increasing ubiquity of mobile devices use has opened up new avenues in the study of human mobility. To face the mobility challenge will require coordinated actions from the private and public sectors. Technological advances, the massive use of apps and the application of Big Data techniques and technologies and business model innovation will be needed to realize productivity improvements while creating more sustainable environments in our cities. In a recent study, MOCA’s scientific team has discovered, for one hand, that urban mobility patterns can be predicted using geolocation data from mobile devices and for the other, that mobility patterns follow Zipf’s mysterious law.
This research comes up from the project BD2K (Big Data to Knowledge) funded by the CDTI and European Union funds, which has developed the basis of MOCA’s Machine Learning algorithms.