New Path Size Formulation in Path Size Logit for Route Choice Modeling in Public Transport Networks

The path size logit (PSL) aims at capturing correlations between path alternatives by including a correction term, path size, to the multinomial logit (MNL). Several path size formulations have been proposed in the literature and applied to various route choice models extensively in road networks. However, the path size formulation has rarely been studied in the public transport context considering the special characteristics of the public transport network. This paper proposes a new path size formulation for route choice modeling in public transport networks. The new path size formulation accounts for both the correlation attributed to spatial overlapping of path alternatives and the correlation attributed to frequency variations. Direct application of existing path size formation in route choice model estimation and prediction based on smart card data from the Singapore public transport network were used in a comparative analysis of the new path size formulation against an MNL and a base PSL. The results show that the new path size formulation has outperformed other models in both estimation and prediction.

• Record URL:
  https://doi.org/10.3141/2538-02
• Availability:
  • Find a library where document is available. Order URL: http://www.trb.org/main/blurbs/173970.aspx
• Authors:
  • Tan, Rui
  • Adnan, Muhammad
  • Lee, Der-Horng
  • Ben-Akiva, Moshe
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 11–18
• Monograph Title: Public Transportation: Marketing, Fare Policy, and Transforming Data Trends, Volume 6
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2538
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Choice models; Logits; Public transit; Route choice; Shortest path algorithms; Smart cards; Urban transit
• Geographic Terms: Singapore
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Planning and Forecasting; Public Transportation;

Filing Info

• Accession Number: 01552922
• Record Type: Publication
• ISBN: 9780309369480
• Report/Paper Numbers: 15-3979
• Files: TRIS, TRB, ATRI
• Created Date: Feb 6 2015 8:39AM