Print Email Facebook Twitter Improving public transport decision making, planning and operations by using big data: Cases from Sweden and the Netherlands Title Improving public transport decision making, planning and operations by using big data: Cases from Sweden and the Netherlands Author Van Oort, N. Cats, O. Faculty Civil Engineering and Geosciences Department Transport & Planning Date 2015-09-15 Abstract New big data (sources) in the public transport industry enable to deal with major challenges such as elevating efficiency, increasing passenger ridership and satisfaction and facilitate the information flow between service providers and service users. This paper presents two actual cases from the Netherlands and Sweden in which automated data sources were utilized to support the planning and operational processes. The cases illustrate the benefits of using smartcard and vehicle positioning data. Due to the data (processing), valuable insights were gained helping to make the right choices and improve the public transport system. To reference this document use: http://resolver.tudelft.nl/uuid:62b38ed9-9e25-487e-8088-51de8aec0fa6 Publisher IEEE ISBN 978-1-4673-6595-6 Source 18th IEEE International Conference on Intelligent Transportation Systems, Las Palmas, 15-18 September 2015; Authors version Other version https://doi.org/10.1109/ITSC.2015.11 Part of collection Institutional Repository Document type conference paper Rights (c) 2015 IEEE Files PDF 319795.pdf 644.6 KB Close viewer /islandora/object/uuid:62b38ed9-9e25-487e-8088-51de8aec0fa6/datastream/OBJ/view