Estimation of Travelers' Values of Time Using a Stated-Preference Survey with Variable Pricing Options

This study analyzed data from a stated preference survey of Houston travelers faced with numerous mode choices, including value pricing options. The study: (a) examined the possibility of using a genetic algorithm to estimate mode choice models while removing the need of making the IIA assumption, (b) estimated nested logit models, (c) attempted to estimate random parameter logit models, and (d) estimated numerous multinomial logit models. After comparing different specifications and optimization techniques [namely the genetic algorithm and Newton-Raphson method in the econometric software, Limited Dependent (LIMDEP)], the multinomial logit model estimation using LIMDEP was found to be more efficient because of easy estimation and a much lower time requirement for estimation. Hence a multinomial logit model was used for estimating the values of travel time savings (VTTS) and the penalty for changing travel schedule for different groups of travelers. The values estimated for the penalty for changing travel schedule were not statistically significant and were therefore not used. The values estimated for travel time savings were significant and comparable to those obtained in previous studies. It was found that the average VTTS was 39% of the wage rate and was higher for females, noncommuters, households with few vehicles, and the wealthy.

• Record URL:
  • http://swutc.tamu.edu/publications/technicalreports/167766-1.pdf
• 
• Supplemental Notes:
  • This research was supported by a grant from the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Texas Transportation Institute

  Texas A&M University System, 3135 TAMU
  College Station, TX  United States  77843-3135

  Southwest Region University Transportation Center

  Texas A&M University
  3135 TAMU
  College Station, TX  United States  77843-3135
• Authors:
  • Burris, Mark W
  • Patil, Sunil
• Publication Date: 2006-12

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: 76p

Subject/Index Terms

• TRT Terms: Estimating; Genetic algorithms; Logits; Mode choice; Multinomial logits; Pricing; Stated preferences; Travel surveys; Travel time; Value of time
• Uncontrolled Terms: Nested logit models; Random parameter logit models
• Geographic Terms: Houston (Texas)
• Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01043622
• Record Type: Publication
• Report/Paper Numbers: SWUTC/06/167766-1, Report 167766-1
• Contract Numbers: 10727
• Files: UTC, TRIS, ATRI
• Created Date: Mar 8 2007 8:36AM