Accident externalities that individual drivers impose on one another via their presence on the road are among the most important external costs of road transport. We study the regulation of these externalities when insurance companies have market power. Some of the results we derive have close...

This paper analyses the efficiency and distributional impacts of congestion pricing in Vickrey's (1969) dynamic bottleneck model of congestion, allowing for continuous distributions of values of time and schedule delay. We find that congestion pricing can leave a majority of travellers better...

In most dynamic traffic congestion models, congestion tolls must vary continuously over time to achieve the full optimum. This is also the case in Vickrey (1969) ‘bottleneck model’. To date, the closest approximations of this ideal in practice have so-called ‘step tolls’, in which the...

This paper analyzes the possibilities to relieve traffic congestion using subsidies instead of Pigouvian taxes, as well as revenue-neutral combinations of rewards and taxes (‘feebates’). The model considers a Vickrey–ADL model of bottleneck congestion with endogenous scheduling. With...

This article discusses a number of issues that will become increasingly important now that the concept of marginal external cost pricing becomes more likely to be implemented as a policy strategy in transport in reality. The first part of the article deals with the long-run efficiency of...

We consider a monocentric city where a traffic bottleneck is located at the entrance of the central business district. The commuters’ departure times from home, residential locations, and lot sizes, are all endogenous. We show that elimination of queuing time under optimal road pricing induces...

This paper analyzes efficient pricing at a congested airport dominated by a single firm. Unlike much of the previous literature, we combine a dynamic bottleneck model of congestion and a vertical structure model that explicitly considers the role of airlines and passengers. We show that a...