Freeway Work-Zone Crash Analysis and Risk Identification Using Multiple and Conditional Logistic Regression
Publication: Journal of Transportation Engineering
Volume 134, Issue 5
Abstract
Work-zone safety continues to be a priority and a concern for the Federal Highway Association as well as most state departments of transportation. The main objective of this study is to uncover work-zone freeway crash characteristics to help develop countermeasures that limit work-zones’ hazards. The Florida Crash Records Database for years 2002, 2003, and 2004 was utilized for this study. Conditional logistic regression along with stratified sampling and multiple logistic regression models were estimated to unveil work-zone freeway crash traits. According to the models’ results, roadway geometry, weather condition, age, gender, lighting condition, residence code, and driving under the influence of alcohol and/or drugs are significant risk factors associated with work-zone crashes.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 134 • Issue 5 • May 2008
Pages: 203 - 214
Copyright
© 2008 ASCE.
History
Received: Oct 27, 2006
Accepted: Oct 29, 2007
Published online: May 1, 2008
Published in print: May 2008
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