After the horrific and deadly train explosion at Lac-Mégantic, Que. in the summer of 2013, there are serious questions being raised publicly about the safety of Canada’s rail-transport system. Unfortunately, Canada’s public rail-safety data are currently in no shape to provide the answers...

An estimated 1.3 million people die in traffic accidents each year worldwide and millions more are injured, with developing countries disproportionately affected. It is predicted that the number of global traffic deaths will be around 1.8 million annually by 2030, making it the eight cause of...

According to the World Health Organization, more than one million road traffic deaths occur every year throughout the world. Many countries have established quantified road safety targets in response. Road safety targets need to be based on reliable forecasting methods. This paper attempts to...

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...

Accident externalities are among the most important external costs of road transport. We study the regulation of these when insurance companies have market power. Using analytical models, we compare a public-welfare maximizing monopoly with a private profit-maximizing monopoly, and markets where...

Vehicle accidents represent an important source of externalities from driving. Using a detailed dataset on accident location and characteristics in Switzerland, we estimate the effect of switching from a 50 km/h speed limit to a 30 km/h limit on the probability of vehicle accident injuries....

This paper estimates the marginal accident externality of driving in Central London by exploiting variation in traffic flow induced by the London Congestion Charge Zone using an instrumental variable approach. The charge attributed to a 9.4% reduction in traffic flow, which resulted in a less...

We use a regression discontinuity design to study the effect of the COVID-19 lockdown on mobility and traffic accidents. Based on data from Google Community Mobility reports and Uniform Traffic Crash Report from the Louisiana Department of Transportation and Develop- ment (LaDOTD), we find that...

This paper estimates the marginal accident externality of driving in Central London by exploiting variation in traffic flow induced by the London Congestion Charge Zone using an instrumental variable approach. The charge attributed to a 9.4% reduction in traffic flow, which resulted in a less...

This paper estimates the marginal accident externality of driving in Central London by exploiting variation in traffic flow induced by the London Congestion Charge Zone using an instrumental variable approach. The charge attributed to a 9.4% reduction in traffic flow, which resulted in a less...