Received: February 3, 2016 Revised: June 9, 2016 Accepted: June 9, 2016 Abstract: Background: There is agreement that road user behaviour is the most important contributing factor for traffic accidents. It is therefore essential to understand better the causes of accidents and design remedies that can efficiently treat them. The fatality rate per 10,000 people is about 30 times higher in develo...

Given a pool of motorists, how do we estimate the total intensity of those who had a prespecified number of traffic accidents in the past year? We previously have proposed the u,v method as a solution to estimation problems of this type. In this paper, we prove that the u, v method provides asymptotically efficient estimators in an important special case.

Accident prediction models (APMs) have been extensively used in site ranking with the objective of identifying accident hotspots. Previously this has been achieved by using a univariate count data or a multivariate count data model (e.g. multivariate Poisson-lognormal) for modelling the number of accidents at different severity levels simultaneously. This paper proposes an alternative method to...

The aims of the present study were (a) to assess the relationship between informal traffic training by parents and their children's involvement in traffic accidents and (b) to identify factors contributing to this relationship. The first two studies involved questionnaires on informal parental traffic education, the child's exposure to traffic and traffic-related accidents. Both studies showed ...