Abstract:
Understanding human mobility is key for a wide range of applications, such as urban planning, traffic forecasting, activity-based modeling transportation networks or epidemic modelling, to name a few. The huge amount of geo-spatial data is creating new challenges and opportunities to satisfy this thirst of knowledge. In this tutorial, we introduce datasets, concepts, knowledge, and methods used in human mobility mining. Specifically, in order to highlight the main advantages, limitations, and open issues, we present a survey of the state of the art and case-studies based on the city of Barcelona and on the region of Catalonia.
Presenters:
Ludovico Boratto, Eurecat, The Technology Centre of Catalonia, Barcelona (Spain)
Carmen Herrero, Eurecat, The Technology Centre of Catalonia, Barcelona (Spain)
Andreas Kaltenbrunner, NTENT, Barcelona (Spain)
Matteo Manca, Zurich Spain, Barcelona (Spain)
Giovanni Stilo, Sapienza University of Rome (Italy)
