title: Fatality risk assessment and modeling of drivers responsibility for causing traffic accidents in Dubai.
abstract: BACKGROUND
  This paper examines crash and safety statistics from the Emirate of Dubai in an attempt to identify factors responsible for making this population at greater risk of crashes compared to other countries.
  
  
  OBJECTIVE
  In developing countries such as the United Arab Emirates (U.A.E.), motor-vehicle-related mortalities frequently exceed those of the industrialized nations of North America and Europe.
  
  
  METHODS
  Fatality and injury data used in the analysis mainly come from Dubai Emirate police reports and from other relevant international sources. Groups of the population are identified according to associated risk and exposure factors. Influence and strength of the most common risk factors are quantified using relative risk, the Lorenz curve, and the Gini index. Further analysis employed logit modeling, and possible predictors available in Dubai police reports, to estimate probability and odds ratios associated with drivers that are deemed responsible for causing traffic accidents.
  
  
  RESULTS
  Traffic fatality risk was found to be higher in Dubai, compared to some developed nations, and to vary considerably between different classes of road users and groups of the resident population. The likelihood of a driver causing an accident is considerably higher for those driving goods vehicles, but it is also associated with other factors.
  
  
  CONCLUSIONS
  Results provide epidemiological inferences about traffic mortality and morbidity, and suggest priorities and appropriate measures for intervention, targeting resident population.
authors.affiliation: Department of Statistics, College of Business and Economics, United Arab Emirates University, Al-Ain, P.O. Box 17555, United Arab Emirates. i.abdalla@uaeu.ac.ae
authors.forename: Ibrahim M
authors.initials: IM
authors.lastname: Abdalla
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality* / Q000517:prevention & control / Q000706:statistics & numerical data; D000367:Age Factors; D001334:Automobile Driving; D015984:Causality; D006801:Humans; D018570:Risk Assessment; D012737:Sex Factors; D014479:United Arab Emirates / Q000453:epidemiology; D014947:Wounds and Injuries / Q000453:epidemiology / Q000401:mortality*