Valuing Travel Attributes of Rural Feeder Service to Bus Stop: Comparison of Different Logit Model Specifications
Publication: Journal of Transportation Engineering
Volume 135, Issue 6
Abstract
A stated choice experimentation is carried out to capture the responses of rural commuters for feeder service to a bus stop. The data are analyzed for calculating users’ willingness-to-pay (WTP) values using different model specifications such as multinomial logit model, nested logit model, covariance heterogeneity nested logit model, and random parameter logit model. Random parameter logit models are developed assuming constrained triangular distribution of random parameters. A comparison of WTP values obtained from different models indicates the importance of model specification in the estimation of WTP values. It is suggested that the selection of the model should be based on the rationality of model specification and its goodness of fit for a given dataset. The paper also documents experience and findings on WTP values for rural trip makers in a developing country context.
Get full access to this article
View all available purchase options and get full access to this article.
References
Amador, F. J., González, R. M., and Dios Ortúzar, J. D. (2005). “Preference heterogeneity and willingness to pay for travel time savings.” Transp. J., 32(6), 627–647.
Ben-Akiva, M., and Lerman, S. R. (1985). Discrete choice analysis: Theory and applications to travel demand, MIT Press, Cambridge, Mass.
Bhat, C. R. (1997). “Covariance heterogeneity in nested logit models: Econometric structure and application to inter city travel.” Transp. Res., Part B: Methodol., 31, 11–21.
Carson, R., et al. (1994). “Experimental analysis of choice.” Market. Lett., 5, 351–368.
Chattopadhyay, C. (2000). “The effectiveness of McFaddens’s nested logit model in valuing amenity improvement.” Reg. Sci. Urban Econ., 30, 23–43.
Green, P., and Srinivasan, V. (1990). “Conjoint analysis in marketing: New developments with implication for research and practice.” J. Marketing, 54, 3–19.
Green, P. E., Krieger, A. M., and Wind, Y. (2001). “Thirty years of conjoint analysis: Reflections and prospects.” Interfaces, 31(3), S56–S73.
Greene, W. H., Hensher, D. A., and Rose, J. (2006). “Accounting for heterogeneity in the variance of unobserved effects in mixed logit models.” Transp. Res., Part B: Methodol., 40(1), 75–92.
Hensher, D. A. (1994). “Stated preference analysis of travel choices: The state of practice.” Transp. J., 21(2), 107–133.
Hensher, D. A. (2001a). “Measurement of the valuation of travel time savings.” J. Transp. Econ. Policy, 35(1), 71–98.
Hensher, D. A. (2001b). “The valuation of commuter travel time savings for car drivers in New Zealand: Evaluating alternative model specifications.” Transp. J., 28, 101–118.
Hensher, D. A., and Greene, W. H. (2002). “Specification and estimation of the nested logit model alternative normalization.” Transp. Res., Part B: Methodol., 36, 1–17.
Hensher, D. A., and Greene, W. H. (2003). “Mixed logit models: State of practice.” Transp. J., 30(2), 133–176.
Hensher, D. A., Rose, J., and Bertoia, T. (2007). “The implications on willingness to pay of a stochastic treatment of attribute processing in stated choice studies.” Transp. Res. Part E, 43, 73–89.
Hensher, D. A., Rose, J., and Greene, W. H. (2005). Applied choice analysis: A primer, Cambridge University Press, New York.
Hensher, D. A., and Sullivan, C. (2003). “Willingness to pay for road curviness and road type.” Transp. Res. D, 8, 139–155.
Holguin-Veras, J. (2002). “Revealed preference analysis of commercial vehicle choice process.” J. Transp. Eng., 128(4), 336–346.
Horn, M. E. T. (2002). “Fleet scheduling and dispatching for demand-responsive passenger services.” Transp. Res., Part C: Emerg. Technol., 10, 35–63.
Iles, R. (2005). Public transport in developing countries, Elsevier, New York.
Jovicic, G., and Hansen, C. O. (2003). “A passenger travel demand model for Copenhagen.” Transp. Res., Part A: Policy Pract., 37, 333–349.
Layton, D. F. (2000). “Random coefficient models for stated preference surveys.” J. Envir. Econom. Manage., 40, 21–36.
LIMDEP-8. (2005). LIMDEP 8.0 reference guide, Econometrics Software Inc.
Louviere, J. J. (1988a). “Analyzing decision making: Metric conjoint analysis.” Sage Univ., Papers, Series No. 67, Newbury Park, Calif.
Louviere, J. J. (1988b). “Conjoint analysis modeling of stated preferences: A review of theory, methods, recent developments and external validity.” J. Transp. Econ. Policy, 22(1), 93–119.
Louviere, J. J., Hensher, D. A., and Swait, D. J. (2000). Stated choice methods. Analysis and applications, Cambridge University Press, New York.
McFadden, D. (1974). “Conditional logit analysis of qualitative choice behavior.” Frontiers in econometrics, P. Zarembka, ed., Academic, New York, 105–142.
Phanikumar, C. V., and Maitra, B. (2007). “Willingness to pay and preference heterogeneity for rural bus attributes.” J. Transp. Eng., 133(1), 62–69.
Ramanayya, T. V., Nagadevara, V., and Roy, S. (2007). “Quality expectations of transport services and willingness to pay: Case of KSRTC.” AIMS Int. J. Management, 1(1), 39–52.
Sikdar, P. K. (2002). “Pradhan Mantri Gram Sadak Yojana, for the people, by the people.” Indian Highways, 6, 59–68.
Train, K. (1998). “Recreation demand models with taste differences over people.” Land Econ., 74(2), 230–239.
Train, K. (1999). “Halton sequences for mixed logits.” Working paper, Dept. of Economics, Univ. of California at Berkeley.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 135 • Issue 6 • June 2009
Pages: 330 - 337
Copyright
© 2009 ASCE.
History
Received: Jul 28, 2006
Accepted: Jan 20, 2009
Published online: May 15, 2009
Published in print: Jun 2009
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.