PETRA — An Activity-based Approach to Travel Demand Analysis
This paper concerns the PETRA model developed by COWI in a project funded by the Danish Ministry of Transport, the Danish Transport Council and the Danish Energy Research Program. The model provides an alternative approach to activity based travel demand analysis that excludes the time dimension. The approach may be thought of as an extension of the trip based frequency model and allows the model to deal with chains of tours and to treat the choice of activities as endogenous.
KeywordsCohort Effect Income Elasticity Fuel Price Travel Demand Accessibility Measure
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- Ben-Akiva, M. and Lerman, S.R. (1985), Discrete Choice Analysis — Theory and Application to Travel Demand, MIT Press, Cambridge, MA.Google Scholar
- Brixen, P. (1996), ‘Bilestimationer’, Unpublished note, Det Økonomiske Råd, Sekretariatet, COWI, Lyngby.Google Scholar
- COWI (June 1997a), ‘PETRA Synthesis Report — The Forecast Model’, COWI, Lyngby.Google Scholar
- COWI (June 1997b), ‘PETRA Working Paper No 4 — The Licence Holding Model’, COWI, Lyngby.Google Scholar
- COWI (June 1997c), ‘PETRA Working Paper No 5 — The Cohort Model’, COWI, Lyngby.Google Scholar
- COWI (June 1997d), ‘PETRA Working Paper No 7 — The Travel Demand Module’, COWI, Lyngby.Google Scholar
- Goodwin, P.B. (1992), ‘A review of new demand elasticities with special reference to short and long run effects of price changes’, Journal of Transport Economics and Policy, vol. 26, pp. 155–163.Google Scholar
- Institute of Transport Economics, TØI (1992), ‘The national model system for private travel, Report on phase II of model development’, TØI rapport 150, TØI, Oslo.Google Scholar
- Jansson, J.O. (1989), ‘Car demand modelling and forecasting’, Journal of Transport Economics and Policy, vol. 23, pp.125–140.Google Scholar
- Oum, T.H., Waters II W.G. and Yong, J. (1992), ‘Concepts of price elasticities of transport demand and recent empirical estimates’, Journal of Transport Economics and Policy, vol. 26, pp. 139–154.Google Scholar