Tobit analysis of vehicle accident rates on interstate highways

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 regre...

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Bibliographic Details
Published in:Accident analysis and prevention 2008-03, Vol.40 (2), p.768-775
Main Authors: Anastasopoulos, Panagiotis Ch, Tarko, Andrew P., Mannering, Fred L.
Format: Article
Language:English
Subjects:
Accident rates
Accidents, Traffic - statistics & numerical data
Automobile Driving - statistics & numerical data
Automobiles - statistics & numerical data
Humans
Indiana
Models, Statistical
Pavement condition
Regression Analysis
Risk Assessment
Roadway geometrics
Tobit regression
United States
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Summary: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 continuous variable that is left-censored at zero. Using data from vehicle accidents on Indiana interstates, the estimation results show that many factors relating to pavement condition, roadway geometrics and traffic characteristics significantly affect vehicle accident rates.
ISSN:0001-4575
1879-2057
DOI:10.1016/j.aap.2007.09.006