A logistic model of the effects of roadway, environmental, vehicle, crash and driver characteristics on hit-and-run crashes

Leaving the scene of a crash without reporting it is an offence in most countries and many studies have been devoted to improving ways to identify hit-and-run vehicles and the drivers involved. However, relatively few studies have been conducted on identifying factors that contribute to the decision...

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Bibliographic Details
Published in:Accident analysis and prevention 2008-07, Vol.40 (4), p.1330-1336
Main Authors: Tay, Richard, Rifaat, Shakil Mohammad, Chin, Hoong Chor
Format: Article
Language:English
Subjects:
Accidents, Traffic - psychology
Accidents, Traffic - statistics & numerical data
Adult
Aged
Automobile Driving - psychology
Automobiles
Databases, Factual
Effect Modifier, Epidemiologic
Environment
Female
Hit-and-run
Humans
Logistic model
Logistic Models
Male
Middle Aged
Retrospective Studies
Singapore
Singapore - epidemiology
Social Behavior
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Summary:Leaving the scene of a crash without reporting it is an offence in most countries and many studies have been devoted to improving ways to identify hit-and-run vehicles and the drivers involved. However, relatively few studies have been conducted on identifying factors that contribute to the decision to run after the crash. This study identifies the factors that are associated with the likelihood of hit-and-run crashes including driver characteristics, vehicle types, crash characteristics, roadway features and environmental characteristics. Using a logistic regression model to delineate hit-and-run crashes from nonhit-and-run crashes, this study found that drivers were more likely to run when crashes occurred at night, on a bridge and flyover, bend, straight road and near shop houses; involved two vehicles, two-wheel vehicles and vehicles from neighboring countries; and when the driver was a male, minority, and aged between 45 and 69. On the other hand, collisions involving right turn and U-turn maneuvers, and occurring on undivided roads were less likely to be hit-and-run crashes.
ISSN:0001-4575
1879-2057
DOI:10.1016/j.aap.2008.02.003