This paper studies road safety and accident externalities when insurance companies have market power, and can influence road users' driving behaviour via insurance premiums. We obtain both welfare and profit maximizing marginal conditions for first- and second-best insurance premiums for...

We study road supply by competing firms between a single origin and destination. In previous studies, firms simultaneously set their tolls and capacities while taking the actions of the others as given in a Nash fashion. Then, under some widely used technical assumptions, firms set a...

"Robot cars" are cars that allow for automated driving. They can drive closer together than human driven "normal cars" and thereby raise road capacity. Obtaining a robot car instead of a normal car can also be expected to lower the userś value of time losses (VOT), because travel time can be...

This paper presents a dynamic model of road traffic congestion based on simple carfollowing theory, allowing for finite group velocity and discrete vehicles. The model offers a full-fledged dynamic version of the standard static model of road traffic congestion based on the so-called...

Mohring and Harwitz (1962) showed that, under certain conditions, an optimally designed and priced road would generate user toll revenues just sufficient to cover its capital costs. Several scholars subsequently explored the robustness of that finding. This paper briefly summarizes further...

This paper studies the efficiency impacts of private toll roads in initially untolled networks. The analysis allows for capacity and toll choice by private operators, and endogenizes entry and therewith the degree of competition, distinguishing and allowing for both parallel and serial...

This paper studies the regulation of an airline duopoly on a congested airport. Regulation should then address two market failures: uninternalized congestion, and overpricing due to market power. We find that first-best charges are differentiated over airlines if asymmetric, and completely drive...

This paper considers the use of ‘long-run cost functions’ for congested networks in solving second-best network problems, in which capacity and tolls are instruments. We derive analytical results both for general cost and demand functions and for specific functional forms, namely Bureau of...

The recent literature on congestion pricing with large agents contains a remarkable inconsistency: though agents are large enough to recognize self-imposed congestion and exert market power over prices, they do not take into account the impact of their own actions on the magnitude of congestion...

This paper analyzes the possibilities to relieve congestion using rewards instead of taxes, as well as combinations of rewards and taxes. The model considers a Vickrey-ADL model of bottleneck congestion with endogenous scheduling. With inelastic demand, a fine (time-varying) reward is equivalent...