A study on co-modality and eco-driving mobility

The last decade has brought on a revolution in the private automotive sector, whereby more and more location-based information has become available. All these big data sets open up a huge potential for advanced data mining and enrichment activities. Based on mobility data stemming from a large private vehicle fleet (300 users, 60 car types, 20 second GPS traces, 9 months, over 110,000 recorded trips), we assessed the modal shift potential by coupling these data with available public transportation data in the region around Brussels, Belgium. Our results indicate that less than 8% of all trips have a suitable public transport alternative. We furthermore concluded that the potential CO2 reduction in city centres is very limited, and by itself not enough to reach either of the presented CO2 reduction targets. In contrast, there is a high potential on motorways as the majority of kilometres were driven there. Public transportation in itself has great difficulty in reaching the emission reduction targets. Finally, there are future business opportunities for the automotive sector in order to remain competitive by having a relevant and realistic outlook on the future mobility market.


  • English

Media Info

  • Pagination: 10p
  • Monograph Title: Transport Research Arena (TRA) 2014 Proceedings

Subject/Index Terms

Filing Info

  • Accession Number: 01534610
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: VTI, TRIS, ATRI
  • Created Date: Aug 14 2014 10:16AM