On the development of time period and mode choice models for use in large scale modelling forecasting systems

Transportation Research Part A: Policy and Practice

Volumn 41, Issue 9 SPEC. ISS., 2007, Pages 802-826

  Hess, Stephane ^a   Daly, Andrew ^b   Rohr, Charlene ^b   Hyman, Geoff ^c  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b RAND CORPORATION   (United States)

^c Department for Transport   (United Kingdom)

Author keywords

Mode choice; Nested logit; Time of day; Time period modelling

Indexed keywords

COMPUTER SIMULATION; ECONOMIC AND SOCIAL EFFECTS; LARGE SCALE SYSTEMS; SCHEDULING;

DEPARTURE TIME; MODE CHOICE; STATED PREFERENCE; TIME PERIOD MODELLING;

TIME AND MOTION STUDY;

DATA SET; FORECASTING METHOD; LOGIT ANALYSIS; MODELING; SOCIOECONOMIC CONDITIONS; TRAVEL BEHAVIOR;

BENELUX; EURASIA; EUROPE; NETHERLANDS; UNITED KINGDOM; WESTERN EUROPE;

EID: 34547493573     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2007.04.001     Document Type: Article

References (17)

1. Bates, J.J., Williams, I.N., 1993. APRIL - A strategic model for road pricing. In: Proceedings of Seminar D, PTRC Summer Annual Meeting, 1993. PTRC Education and Research Services Ltd, London.
2. Daly A.J. Estimating 'Tree' logit models. Transportation Research 21B (1987) 251-267
3. Daly, A., Zachary, S., 1978. Improved multiple choice models. In: Hensher, D., Dalvi, Q. (Eds.), 'Identifying and Measuring the Determinants of Mode Choice', Teakfields, London.
4. De Jong G., Daly A., Pieters M., Vellay C., and Hofman F. A model for time of day and mode choice using error components logit, presented to European Transport Conference, Cambridge (2001). Transportation Research (E) 29 (2003) 246-268 (revised version)
5. Domencich T.A., and McFadden D. Urban Travel Demand: A behavioural Analysis (1975), North Holland, Amsterdam
6. Hess S., Polak J.W., and Bierlaire. Functional approximations to alternative specific constants in time period choice-modelling. Proceedings of the 16th International Symposium on Transportation and Traffic Theory (2005), University of Maryland, College Park, MD
7. Hess S., Polak J., Daly A., and Hyman G. Flexible substitution patterns in models of mode and time-of-day choice: new evidence from the UK and The Netherlands. Transportation 34 2 (2007) 213-238
8. McFadden D. Modelling the choice of residential location. In: Karlquist A. (Ed). Spatial Interaction Theory and Planning Models (1978), North Holland, Amsterdam 75-96 (Chapter 25)
9. McFadden D. Econometric models of probabilistic choice. In: Manski C., and McFadden D. (Eds). Structural Analysis of Discrete Data: With Econometric Applications (1981), The MIT Press, Cambridge, Massachusetts
10. McFadden D., and Train K. Mixed MNL Models for discrete response. Journal of Applied Econometrics 15 (2000) 447-470
11. Polak, J.W., Jones, P.M., 1994. A tour-based model of journey scheduling under road pricing, Paper presented at the 73rd Annual Meeting of the Transportation Research Board, Washington, DC.
12. RAND Europe, 2004. PRISM West Midlands: Time of Day Choice Models, RED-02061-04. Available from: .
13. RAND Europe, 2005a. Departure Time and Mode Choice: An Analysis of Three Stated Preference Data Sets. Available from: .
14. RAND Europe, 2005b. PRISM West Midlands: Tour Based Mode Destination Modelling, RED-02061-05. Available from: .
15. Small K. A discrete choice model for ordered alternatives. Econometrica 55 2 (1987) 409-424
16. Train K. Discrete Choice Methods with Simulation (2003), Cambridge University Press, Cambridge, MA
17. Williams H.C.W.L. On the formulation of travel demand models and economic evaluation measures of user benefit. Environment and Planning A 9 3 (1977) 285-344