Overview
There is a need for more detailed information to advise policies on levels of traffic enforcement and penalties.
The first part of the project aims at analysing car drivers' behaviour against the threat of a penalty and characterising an optimal scale of fines according to the severity of the violation, as well as an optimal driving licence points system. In this part, attention is also paid to the consequences of the imperfect information that drivers have on the level of risk.
The second part will be based on econometric analysis using Canadian data. In particular, the predictive capacity of violations on risk-taking will be evaluated, as well as the influence of the threat of licence withdrawal on driver behaviour.
The research will provide quantitative and qualitative data to help clarify and develop policies relating to the levels and scales of fines, driving licence points systems, detection of dangerous drivers, criteria for driving licence withdrawals and specific measures for young drivers.
The team consists of four experienced researchers having already published widely in the fields of risk (in particular road risk) and of insurance.
Research will be undertaken within the framework of THEMA which is a laboratory associated with CNRS (French National Centre for Scientific Research) having a major research activity in the field of risk economics and insurance, with collaboration from the professorship of risk management of HEC-Montréal (business school).