This study tries to establish the link between the well-developed economic theory of optimal pricing, and recent empirical results concerning price elasticities of demand and marginal cost estimates for The Netherlands Railways. The ex post determination of Ramsey coefficients confirms that peak hour pricing is dominated by the aim of welfare maximization, while off-peak fares largely correspond to the profit-maximizing objective. It is argued that tariff differentiation according to track offers scope for a budget-neutral welfare improvement, and that a price-elastic off-peak market implies that lower off-peak fares result in a Pareto-improvement. © 2002 Elsevier Science Ltd. All rights reserved
Using a numerical model of the urban transportation sector, calibrated to data for Brussels and for ...
Sectional fares have been used in transit services in practice but are rarely examined analytically ...
Sweden has been a front runner in vertical separation. We use data from the business long-distance c...
Nederlandse Spoorwegen (NS) is concerned with the efficient utilization of the rail network at peak ...
The authors thank NSR (Netherlands Railways) for providing data on cost of opera-tions. Harry van Oo...
In recent decades, railway passenger transport enterprises have been exploring numerous operation an...
Railway networks are characterised by variations in demand on different links. Optimal strategies th...
This paper reports the findings of an economic evaluation of fares regulation options for Britain's ...
This paper reports the findings of an economic evaluation of fares regulation options for Britain’s ...
In the last decade the Netherlands has experienced an economic recession. Now, in 2017, the economy ...
Using a numerical model of the urban transportation sector, calibrated to data for Brussels and for ...
The demand for Urban transportation is characterised by a large scale temporal and spatial variation...
Use and efficiency of public transport: the effects of price and service measures Like in many other...
AbstractRegarding the problems in the reform of the railway tariff system and the pricing of the tra...
A common optimal pricing model methodology is used to estimate the gap between present transport pri...
Using a numerical model of the urban transportation sector, calibrated to data for Brussels and for ...
Sectional fares have been used in transit services in practice but are rarely examined analytically ...
Sweden has been a front runner in vertical separation. We use data from the business long-distance c...
Nederlandse Spoorwegen (NS) is concerned with the efficient utilization of the rail network at peak ...
The authors thank NSR (Netherlands Railways) for providing data on cost of opera-tions. Harry van Oo...
In recent decades, railway passenger transport enterprises have been exploring numerous operation an...
Railway networks are characterised by variations in demand on different links. Optimal strategies th...
This paper reports the findings of an economic evaluation of fares regulation options for Britain's ...
This paper reports the findings of an economic evaluation of fares regulation options for Britain’s ...
In the last decade the Netherlands has experienced an economic recession. Now, in 2017, the economy ...
Using a numerical model of the urban transportation sector, calibrated to data for Brussels and for ...
The demand for Urban transportation is characterised by a large scale temporal and spatial variation...
Use and efficiency of public transport: the effects of price and service measures Like in many other...
AbstractRegarding the problems in the reform of the railway tariff system and the pricing of the tra...
A common optimal pricing model methodology is used to estimate the gap between present transport pri...
Using a numerical model of the urban transportation sector, calibrated to data for Brussels and for ...
Sectional fares have been used in transit services in practice but are rarely examined analytically ...
Sweden has been a front runner in vertical separation. We use data from the business long-distance c...