HARNESSING MOBILITY DATA IN CITIES

A CASE STUDY FROM THE BERGEN REGION

  • Dirk Ahlers Norwegian University of Science and Technology
  • Rajendra Akerkar Western Norway Research Centre
  • John Krogstie Norwegian University of Science and Technology
  • Andreas L Opdahl University of Bergen
  • Bjørnar Tessem University of Bergen
  • Weiqing Zhang Telenor

Abstract

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 research projects have been reported but, so far, few of them have addressed mobility in Norwegian cities specifically. This paper reports on a pre-study that focusses on mobility-related data sources in the Bergen region and discusses the needs and opportunities they present. We have identified central actors and the data they own, 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.

Published
2018-09-17