title: Factors contributing to hit-and-run in fatal crashes.
abstract: Hit-and-run in a collision is a punishable offence as it delays crash notification thereby delaying emergency response which increases the likelihood of traffic fatality. To obtain a better understanding of hit-and-run behavior, a logistic regression model has been applied in this study to identify the factors that might affect the occurrence of hit-and-run in fatal crashes in California, USA. Our results show that roadway functional class, routes, traffic flow, types of roadway section, speed limit, traffic control device, functioning of traffic control device, lighting condition, roadway alignment and roadway profile are important determinants that engineers can target to reduce hit-and-run in fatal crashes. In addition, targeted traffic enforcement should be performed on weekends and nighttime.
authors.affiliation: Department of Civil Engineering, University of Calgary, 2500 University Drive, Calgary, Alberta, Canada T2N 1N4. rtay@ucalgary.ca
authors.forename: Richard
authors.initials: R
authors.lastname: Tay
authors.forename: Upal
authors.initials: U
authors.lastname: Barua
authors.forename: Lina
authors.initials: L
authors.lastname: Kattan
mesh_terms: D000063:Accidents, Traffic / Q000145:classification* / Q000401:mortality / Q000706:statistics & numerical data*; D002140:California / Q000453:epidemiology; D002940:Circadian Rhythm; D016208:Databases, Factual; D004779:Environment Design; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models