Big data and urban mobility

Data sources have been evolving the last decades and nowadays a huge amount of information is available through web navigation. One of the new sources of information are social networks and they provide large datasets to be studied. In this context we are using geolocatzed tweets as a source of information for mobility patterns. Data retrieval is achieved through public APIs and smart users selection. Besides, efficient data storage and fast access to the data is a challenging task for which we rely on NoSQL technology.