The privatised railway in Britain has brought increased funds for investment, but less time for implementation. This brings the problem of how accurate demand forecasting can occur in the limited time available. The GCOSTTM TM model is a recently-developed spreadsheet-based application which is both behaviourally-sound and reasonably accurate. It is based on conventional generalised cost (gc) theory, with the elements of gc being entered for a relatively limited number of traffic zones. Total traffic levels can be estimated from a gravity-based formulation if Census-type statistics (e.g. on population, and trip distribution by all modes) are not available. A logit statistical function is applied to the total gc of each mode of transport for each Origin:Destination pair to allocate traffic between the modes. A pair of models has even been used in a hierarchic application of logit modelling.
GCOSTTM model for demand estimation
1998
10 Seiten, 8 Quellen
Conference paper
English
Transport demand model estimation from traffic counts
Online Contents | 1989
|The GCOST[TM] Model for demand estimation
British Library Conference Proceedings | 1998
|European Patent Office | 2020
|Transportation Research Record | 2019
|A sinusoidal model for seasonal bicycle demand estimation
Online Contents | 2017
|