Variation in the value of travel time savings and its impact on the benefits of managed lanes

Transportation Planning and Technology

Volumn 34, Issue 6, 2011, Pages 547-567

  Patil, Sunil ^a   Burris, Mark ^b   Shaw, W Douglass ^c   Concas, Sisinnio ^d  

^a RAND CORPORATION   (United States)

^b Texas A and M University   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

^d University of South Florida   (United States)

Author keywords

Managed lanes; Mixed logit model; Savings value; Travel time; Urgent situations

Indexed keywords

MANAGED LANES; MIXED LOGIT MODELS; SAVINGS VALUE; TRAVEL TIME; URGENT SITUATIONS;

MATHEMATICAL MODELS;

ESTIMATION;

LOGIT ANALYSIS; NUMERICAL MODEL; SAVINGS; TRAVEL TIME;

EID: 80051636495     PISSN: 03081060     EISSN: 10290354     Source Type: Journal    
DOI: 10.1080/03081060.2011.600068     Document Type: Article

References (28)

1. Ben-Akiva, M., Bolduc, D., and Walker, J., 2001. Specification, identification and estimation of the logit kernel (or continuous mixed logit) model (MIT Working Paper). Department of Civil Engineering, MIT, Cambridge, MA.
2. Bhat, C.R., 2001. Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model. Transportation Research Part B, 35, 677-693.
3. Bhat, C.R. and Castelar, S., 2002. A unified mixed logit framework for modeling revealed and stated preferences: formulation and application to congestion pricing analysis in the San Francisco Bay area. Transportation Research Part B, 36 (7), 593-616.
4. Brownstone, D., Bunch, D.S., and Train, K., 2000. Joint mixed logit models of stated and revealed references for alternative-fuel vehicles. Transportation Research B, 34, 315-338.
5. Brownstone, D., et al., 2003. Drivers willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project. Transportation Research A, 37, 373-387.
6. Brownstone, D. and Small, K.A., 2005. Valuing time and reliability: assessing the evidence from road pricing demonstrations. Transportation Research A, 39 (4), 279-293.
7. Brownstone, D. and Train, K., 1999. Forecasting new product penetration with flexible substitution patterns. Journal of Econometrics, 89, 109-129.
8. Burris, M.W and Stockton, W.R., 2004. HOT lanes in Houston - six years of experience. Journal of Public Transportation, 7 (4), 1-21.
9. Burris, M. and Patil, S., 2009. Estimating benefits of managed lanes. Texas: University Transportation Center for Mobility, Texas Transportation Institute, College Station.
10. Collier, T and Goodin, G.D., 2002. Managed lanes: more efficient use of the freeway system. TTI Research Report 4160-5-p1. Texas: Texas Transportation Institute, College Station.
11. Ghosh, A., 2001. Valuing time and reliability: commuters' mode choice from a real time congestion pricing experiment. Thesis (PhD). Department of Economics, University of California at Irvine.
12. Greene, W, 2007. NLOGIT Version 4.0 reference guide. Plainview, NY: Econometric Software, Inc.
13. Greene, WH. and Hensher, D.A., 2007. Heteroscedastic control for random coefficients and error components in mixed logit. Transportation Research E, 43, 610-623.
14. Greene, W.H., Hensher, D.A., and Rose, J., 2006. Accounting for heterogeneity in the variance of unobserved effects in mixed logit models. Transportation Research B, 4 (1), 75-92.
15. HCTRA, 2009. Harris County Toll Road Authority, toll road information - overview [online]. Available form: http://www.hctra.org/tollroads/ [Accessed 15 May 2009].
16. Hensher, D. and Greene, WH., 2003. The mixed logit model: the state of practice. Transportation, 30, 133-176.
17. Hensher, D.A., Rose, J., and Greene, W.H., 2005. Applied choice analysis: a primer. Cambridge: Cambridge University Press.
18. Hensher, D.A., Rose, M.J., and Greene, W.H., 2008. Combining RP and SP data: biases in using the nested logit 'trick'-contrasts with flexible mixed logit incorporating panel and scale effects. Journal of Transport Geography, 16, 126-133.
19. Patil, S., Burris, M., and Shaw, D., 2011. Travel using managed lanes: An application of a stated choice model for Houston, Texas. Transport Policy, 18(4), 595-603.
20. Revelt, D. and Train, K., 1998. Mixed logit with repeated choices: households' choices of appliance efficiency level. Review of Economics and Statistics, 80, 1-11.
21. Small, K.A., et al., 1999. Valuation of travel-time savings and predictability in congested conditions for highway user-cost estimation, National Cooperative Highway Research, Report 431. Washington, DC: Transportation Research Board, National Research Council.
22. Sullivan, E. et al., 2000. Continuation study to evaluate the impacts of the SR91 value-priced express lanes: final report. California Polytechnic State University at San Luis Obispo. [online]. Available from: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.135.4806&rep=rep1&type=pdf [Accessed 19 July 2011].
23. Tilahun, N and Levinson, D., 2008. Willingness to pay and the cost of delay on I-394 high occupancy/toll lanes. In: Proceedings of the 87th annual meeting of the Transportation Research Board, CD-ROM, Washington, DC.
24. Train, K., 1998. Recreation demand models with taste differences over people. Land Economics, 74, 230-239.
25. Train, K., 2003. Discrete choice methods with simulation. Cambridge: Cambridge University Press.
26. Tseng, Y.Y. and Verhoef, E., 2008. Value of time by time of day: a stated-preference study. Transportation Research Part B, 42 (7), 607-618.
27. TxDOT, 2009. Katy Freeway website, Texas Department of Transportation. [online]. Available from: www.katyfreeway.org/ [Accessed 15 May 2009].
28. USCB, 2009. Population estimates for Houston-Sugar Land-Baytown,Texas, metropolitan statistical area, US Census Bureau [Online]. Available from: http://www.census.gov/popest/metro/metro.html [Accessed 19 July 2011].