Can SMART Based Shoulder Peak Tickets Switch Rail Trips out of the Morning Peak?

This paper reports on a research project carried out for Passenger Demand Forecasting Council (ATOC), (AECOM (2015)), to explore the potential for SMART card based tickets to switch people from the peak to the shoulder peak or off peak, and builds on other work the authors have carried out in this field (AECOM 2013, Faber Maunsell (2007). The unique aspect of this study was looking at choices over a whole week rather than a single journey. An extensive Literature Review and consultations with the industry revealed that this approach had only been attempted once before although not to the same complexity as used in this study. A large Stated Preference (SP) survey enabled separate Peak Switching and Ticket Choice models to be developed. Although the survey revealed that the vast majority of rail commuters wanted to travel at the same time each day, there was a minority that could mix and match their time of travel by day of week and take full advantage of a SMART based ticket. The Application Model developed from the SP Models was applied to seventeen British rail corridors and indicated that a SMART based ticket can switch travellers from the peak but this has revenue implications.

• Record URL:
  https://aetransport.org/past-etc-papers/conference-papers-2015
• Supplemental Notes:
  • Abstract used by permission of Association for European Transport.
• Corporate Authors:

  Association for European Transport (AET)

  1 Vernon Mews, Vernon Street, West Kensington
  London W14 0RL,    
• Authors:
  • Murphy, Paul
  • Wardman, Mark
  • Vaughan, Brian
  • Magee, Anthony
• Conference:
  • European Transport Conference 2015
  • Location: Frankfurt , Germany
  • Date: 2015-9-28 to 2015-9-30
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Bibliography; Figures; Tables;
• Pagination: 13p
• Monograph Title: European Transport Conference 2015: Strands

Subject/Index Terms

• TRT Terms: Choice models; Commuters; Crowds; Peak periods; Revenues; Smart cards; Stated preferences; Travel behavior; Travel patterns
• Geographic Terms: United Kingdom
• Subject Areas: Finance; Operations and Traffic Management; Planning and Forecasting; Railroads; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01578954
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 23 2015 9:28AM