Methodological issues in modelling time-of-travel preferences

The authors address three methodological issues that arise when modelling time-of-travel preferences: unequal period lengths, schedule delay in the absence of desired time-of-travel data and the 24-hour cycle. Varying period length is addressed by using size variables. Schedule delay is treated by assuming either arrival or departure time sensitivity and using market segment specific utility functions of time-of-travel, or using distributions of the desired times-of-travel. The 24-hour cycle is modelled by using a trigonometric utility functional form. These methodologies are demonstrated in the context of a tour-based travel demand model using the 2000 Bay Area travel survey.

• Record URL:
  https://doi.org/10.1080/18128602.2012.686532
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/23249935
• Supplemental Notes:
  • Abstract reprinted with permission from Taylor & Francis.
• Authors:
  • Ben-Akiva, Moshe
  • Abou-Zeid, Maya
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: pp 846-859
• Serial:
  • Transportmetrica A: Transport Science
  • Volume: 9
  • Issue Number: 9
  • Publisher: Taylor & Francis
  • ISSN: 2324-9935
  • EISSN: 2324-9943
  • Serial URL: http://www.tandfonline.com/loi/ttra21

Subject/Index Terms

• TRT Terms: Computer models; Delays; Methodology; Periods of the day; Revealed preferences; Travel surveys; Travel time
• Geographic Terms: San Francisco Bay Area
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01498683
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 31 2013 11:14AM