title: Inter-group differences in road-traffic crash involvement.
abstract: This paper assesses group differences in severe and fatal road-traffic accidents by using a unique database that merges road-traffic records with the Israeli census data. The database traces, over a period of 9 years, a group of drivers that comprises 20% of the Israeli population and explores the probability of their being involved in an accident. This unique database enables the investigation of drivers' socioeconomic and demographic characteristics, while controlling for a variety of variables, such as estimated daily distance traveled and license type. Testing a previously published theoretical paper on the social bases of accidents, the findings expose significant group differences in estimated probabilities of being involved in severe and fatal accidents. For example, estimated probabilities of accident involvement are higher for males than for females, for non-Jewish drivers than for Jewish, and for drivers whose origins are in Africa and Asia than in America and Europe. Furthermore, the higher one's education and socioeconomic status, the lower is the probability of accident-involvement. The implications of the findings for developing road-safety programs and suggestions for future research are discussed.
authors.affiliation: Faculty of Civil and Environmental Engineering, Transportation Research Institute, Technion-Israel Institute of Technology, Haifa 32000, Israel. ronif@tx.technion.ac.il
authors.forename: Roni
authors.initials: R
authors.lastname: Factor
authors.forename: David
authors.initials: D
authors.lastname: Mahalel
authors.forename: Gad
authors.initials: G
authors.lastname: Yair
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000328:Adult; D000367:Age Factors; D001334:Automobile Driving / Q000706:statistics & numerical data*; D016208:Databases, Factual; D005006:Ethnicity; D005260:Female; D006801:Humans; D007557:Israel / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors