Accommodating variations in responsiveness to level-of-service measures in travel mode choice modeling

Transportation Research Part A: Policy and Practice

Volumn 32A, Issue 7, 1998, Pages 495-507

  Bhat, Chandra R ^a  

^a The University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PLANNING METHOD; TRANSPORTATION MODE; TRANSPORTATION PLANNING; TRAVEL DEMAND;

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; FUNCTIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; PARAMETER ESTIMATION; PROBABILITY; RANDOM PROCESSES;

INTERCITY TRANSPORTATION SERVICES; LEVEL-OF-SERVICE VARIABLES; MULTINOMIAL LOGIT MODEL; RANDOM COEFFICIENTS; TRAVEL MODE CHOICE MODELS;

RAILROAD TRANSPORTATION;

EID: 0031597048     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0965-8564(98)00011-1     Document Type: Article

References (17)

1. Ben-Akiva, M. and Lerman, S.R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. MIT Press, Cambridge, MA.
2. Ben-Akiva, M., Bolduc, D. and Bradley, M. (1993) Estimation of travel choice models with randomly distributed values of time. Transportation Research Record 1413, 88-97.
3. Bhat, C.R. (1996) An endogenous segmentation mode choice model with an application to intercity travel. Transportation Science 31, 34-48.
4. Börsch-Supan, A., Hajivassiliou, V.A., Kotlikoff, L. and Morris, J. (1993) Health, children and elderly living arrangements: a multi-period multinomial probit model with unobserved heterogeneity and autocorrelated errors. In Topics in the Economics of Aging, ed. D. Wise, pp. 79-108. University of Chicago Press, Chicago.
5. Brownstone, D. and Train, K. (1996) Forecasting new product penetration with flexible substitution patterns. Working paper, Dept. of Economics, University of California, Irvine.
6. Chamberlain, G. (1980) Analysis of covariance with qualitative data. Review of Economic Studies 47, 225-238.
7. Corres, S., Hajivassiliou, V.A. and Ioannides, Y.M. (1993) An empirical analysis of the dynamics of qualitative decisions of firms. Technical report, Department of Economics, Virginia Polytechnic Institute and State University, Blacksburg, VA.
8. Fischer, G.W. and Nagin, D. (1981) Random versus fixed coefficient quantal choice models. In Structural Analysis of Discrete Data with Econometric Applications, eds. C.F., Manski and D. McFadden, pp. 273-304, MIT Press, Cambridge, MA.
9. Hajivassiliou, V.A. and Ruud, P.A. (1994) Classical estimation methods for LDV models using simulation. In Handbook of Econometrics, Vol. 4, eds. R.F. Engle and D.L. McFadden, pp. 2383-2441.
10. Hensher, D.A. (1981) Two contentions related to conceptual context in behavioral travel modeling. In New Horizons in Travel Behavior Research, eds P.R. Stopher, A.H. Meyburg and W. Brög, pp.509-514, Lexington Books, Lexington, MA.
11. Johnson, N. and Kotz, S. (1970) Distributions in Statistics: Continuous Univariate Distributions, chap. 21. John Wiley, New York.
12. KPMG Peat Marwick and Koppelman, F.S. (1990) Proposal for analysis of the market demand for high speed rail in the Quebec/Ontario corridor. Submitted to Ontario/Quebec Rapid Train Task Force.
13. KPMG Peat Marwick in association with ICF Kaiser Engineers, Inc., Midwest System Sciences, Resource Systems Group, Comsis Corporation and Transportation Consulting Group (1993) Florida High speed and intercity rail market and ridership study. Final report, submitted to Florida Department of Transportation, July.
14. Lee, L.-F. (1992) On the efficiency of methods of simulated moments and maximum simulated likelihood estimation of discrete response models. Econometric Theory 8(4), 518-552.
15. Revelt, D. and Train, K. (1997) Mixed logit with repeated choices: households' choices of appliance efficiency level. Review of Economics and Statistics. (forthcoming).
16. Train, K., McFadden, D. and Goett, A. (1987) Consumer attitudes and voluntary rate schedules for public utilities. Review of Economics and Statistics LXIX, 383-391.
17. Train, K. (1997) Recreation demand models with taste differences over people. Land Economics 74, (forthcoming).