A STOCHASTIC TRANSIT ASSIGNMENT MODEL CONSIDERING DIFFERENCES IN PASSENGERS UTILITY FUNCTIONS

This paper presents a framework for public traffic assignment that builds on an earlier probit-based model (Sheffi and Powell, 1981). Hereby, the problems with overlapping routes that occur in many public transport models can be avoided. The probit-based model with modifications similar to the principles in Nielsen (1996) is used as a starting point. This makes it possible to describe passengers' different preferences toward different sub modes and against transfers, and also considers dependencies of choices through chains of sub modes. The simulation of perceived travel times is extended to describe differences in the distribution of travel and waiting times for different sub modes. Parallel lines are frequency aggregated in order to handle waiting times appropriately. Initial tests on a full-scale case show that the methodology can describe route choices in public transport very well. The paper concludes by presenting proposals to coefficients based on a Danish SP-analysis, demonstrating the applicability of the method.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Corporate Authors:

  Elsevier

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  Kidlington, Oxford  United Kingdom  OX5 1GB
• Authors:
  • Nielsen, O A
• Publication Date: 2000-6

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 377-402
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 34
  • Issue Number: 5
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Choice models; Networks; Passenger transportation; Probits; Public transit; Route choice; Stochastic processes; Traffic assignment; Traffic characteristics; Traffic models; Travel time; Urban transit; Urban transportation
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 00794482
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Jun 8 2000 12:00AM