Modeling the Impacts of Public Transport Reliability and Travel Information on Passengers’ Waiting-time Uncertainty

Public transport systems are subject to uncertainties related to traffic dynamic, operations, and passenger demand. Passenger waiting time is thus a random variable subject to day-to-day variations and the interaction between vehicle and passenger stochastic arrival processes. While the provision of real-time information could potentially reduce travel uncertainty, its impacts depend on the underlying service reliability, the performance of the prognosis scheme, and its perceived credibility. This paper presents a modeling framework for analyzing passengers’ learning process and adaptation with respect to waiting-time uncertainty and travel information. The model consists of a within-day network loading procedure and a day-to-day learning process, which are implemented in an agent-based simulation model. Each loop of within-day dynamics assigns travelers to paths by simulating the progress of individual travelers and vehicles as well as the generation and dissemination of travel information. The day-to-day learning model updates the accumulated memory of each traveler and updates consequently the credibility attributed to each information source based on the experienced waiting time. A case study in Stockholm demonstrates model capabilities and emphasizes the importance of behavioral adaptation when evaluating alternative measures which aim to improve service reliability.

• Record URL:
  https://doi.org/10.1007/s13676-014-0070-4
• 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:
  • Cats, Oded
  • Gkioulou, Zafeira
• Publication Date: 2017-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 247-270
• 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: Information dissemination; Public transit; Quality of service; Real time information; Reliability; Simulation; Traffic assignment; Uncertainty; Waiting time
• Geographic Terms: Stockholm (Sweden)
• Subject Areas: Data and Information Technology; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01644989
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 29 2017 10:13AM