The growing urban populations pose broad challenges to contemporary cities, with regard to transportation, energy, safety and environment. Data from social media platforms and interconnected devices provide new opportunities to better understand the dynamics of a city, and to support urban planning and decision-making processes.
However, the so-called social urban data bring new challenges because of their typical properties, such as heterogeneity, sparsity, size, semantics, and trustworthiness. As a result, there is an increasing need to study and solve issues of social urban data creation, human-driven analysis and interpretation, visualization and interaction.
DDS researchers from various TU Delft faculties develop novel data science technologies in order to efficiently and effectively engage people in collecting, sharing and processing data to measure and map phenomena of common interest. We also develop data-driven tools to help citizens, decision makers, and organisations to obtain a better understanding of urban dynamics.
One project example is city-scale crowd monitoring, where social urban data from heterogeneous sources (e.g. head count cameras and wifi traffic detection software) is used to monitor flows of people in urban spaces. Another example is the development of a novel infrastructure that allows the monitoring of specific properties of the TU Delft campus, such as occupancy, crowdedness, and temperature.
- SocialGlass: Your City Through the Lens of Social Data