HARNESSING MOBILITY DATA IN CITIES: A CASE STUDY FROM THE BERGEN REGION

Smart cities attempt to use big data, machine learning, and other topical information and communication techniques (ICTs) to improve energy-consumption, mobility, waste management, and other crucial city functions. Many international pilot projects have been reported in the literature, but data-driven activity in Norway has so far been less extensive. This paper reports on a pre-study that focusses on mobility-related data sources and information needs in the Bergen region. We have identified central actors and their available data, discussed opportunities and challenges with central stakeholders, developed a taxonomy of data types, and reviewed available ontologies for data integration. We are currently exploring a big-data architecture for harvesting, integrating, and making open mobility data more ready for use through a single-entry point