Big data supports light rail business case

Transport planners are starting to consider how “big data” retrieved from passenger smart cards, computers and mobile phones could improve the design of urban rail networks and timetables, and improve operations by predicting ridership. Niels van Oort, assistant professor at Delft University of Technology, and consultant at Goudappel Coffeng, explains how big data was utilised to support the business case for a proposed light rail line in Utrecht.

Read the full article: Internation Railway Journal (URL) or Internation Railway Journal (PDF)

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