Log-linear modeling is advanced as a procedure to identify factors that underlie the relative frequency of occurrence of various accident characteristics, such as accident type, location, and severity. The method is centered on the estimation of saturated log-linear models for pairs of accident variables and determination of indices of association between categories of the variables. Using data...

OBJECTIVE We examined the personality correlates of accident-proneness of auto-rickshaw drivers in the Indian city of Ranchi. METHODS This was a cross-sectional study in which 50 male drivers aged 18-50 years, selected randomly from a list of licensed auto-rickshaw drivers in Ranchi, were assessed with a Hindi version of Cattell's 16 Personality Factors (16-PF) Questionnaire. RESULTS There ...

In recent years, there has been an abundance of research that has used Poisson models and its variants (negative binomial and zero-inflated models) to improve our understanding of the factors that affect accident frequencies on roadway segments. This study explores the application of an alternate method, tobit regression, by viewing vehicle accident rates directly (instead of frequencies) as a ...

Objective. We examined the personality correlates of accident-proneness of autorickshaw drivers in the Indian city of Ranchi. Methods. This was a cross-sectional study in which 50 male drivers aged 18–50 years, selected randomly from a list of licensed autorickshaw drivers in Ranchi, were assessed with a Hindi version of Cattell’s 16 Personality Factors (16-PF) Questionnaire. Results. There was...

This paper describes development and application of a road accident analysis and visualization package Road Accident View (RAV), which integrated Microcomputer Accident Analysis Package (MAAP) and Geographical Information System (GIS) components. GIS offer an advanced engine to drive, both area-wide and location-oriented investigations. With this system the possibility to raise and solve accide...