Rail Passenger Demand Forecasting: Cross-Sectional Models Revisited
This chapter revisits cross-sectional models of rail travel demand, a much neglected area in recent years, by covering three developments in the context of inter-urban travel. First, the models are extended to allow a detailed analysis of catchment areas; the ticket-sales data that are used to estimate these models only cover journeys between stations. Second, access to and egress from stations are investigated by refining functions of population and accessibility to stations separately from rail service quality. The best models are achieved with inverted s-shaped access and egress functions rather than assuming constant elasticity. Third, station choice is modeled using a multinomial logit model that yields fresh insights into rail travel demand.
Year of publication: |
2007
|
---|---|
Authors: | Wardman, Mark ; Lythgoe, William ; Whelan, Gerard |
Published in: |
Research in Transportation Economics. - Elsevier, ISSN 0739-8859. - Vol. 20.2007, 1, p. 119-152
|
Publisher: |
Elsevier |
Saved in:
Online Resource
Saved in favorites
Similar items by person
-
Rail passenger demand forecasting : cross-sectional models revisited
Wardmann, Mark, (2007)
-
Optimal fares regulation for Britain's railways
Whelan, Gerard, (2008)
-
Valuation of improved railway rolling stock: A review of the literature and new evidence
Wardman, Mark, (2001)
- More ...