Introduction to the Special Issue on Public Transport Modelling

This special issue consists of three papers that were submitted in response to an open call for papers that advance the state of the art of modelling public transport systems. The call was made in conjunction with COST action TU1004 on “Modelling Public Transport Passenger Flows in the Era of Intelligent Transport Systems” and the second European Symposium on Quantitative Methods in Transportation Systems (hEART). Public transport models describe and predict transit system performance and the patterns of network usage by passengers, which are a fundamental input for planning and operations. The models currently used do not take adequately into consideration the effects brought about by the increasingly advanced and widespread Intelligent Transportation Systems on public transport operations and on users’ behavior. This special issue consists of three papers that extend existing public transport route choice and assignment models by considering flexible modes of operation, service reliability and real-time information and heterogeneity in multimodal door-to-door travel preferences. The emergence of new flexible modes of transport calls for the development of new modelling techniques to analyze their impacts.

• Record URL:
  https://doi.org/10.1007/s13676-017-0107-6
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/21924376
• Supplemental Notes:
  • Copyright © 2017, Springer-Verlag Berlin Heidelberg and EURO - The Association of European Operational Research Societies.
• Authors:
  • Gentile, Guido
  • Cats, Oded
• Publication Date: 2017-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 219-220
• Serial:
  • EURO Journal on Transportation and Logistics
  • Volume: 6
  • Issue Number: 3
  • Publisher: SPRINGER VERLAG HEIDELBERG
  • ISSN: 2192-4376
  • EISSN: 2192-4384
  • Serial URL: http://www.springerlink.com/content/2192-4376/

Subject/Index Terms

• TRT Terms: Consumer preferences; Door to door service; Intelligent transportation systems; Multimodal transportation; Public transit; Real time information; Route choice; Transit operating agencies; Travel behavior
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01644884
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2017 10:13AM