Title
Freeway work-zone crash analysis and risk identification using multiple and conditional logistic regression
Abbreviated Journal Title
J. Transp. Eng.-ASCE
Keywords
QUASI-INDUCED EXPOSURE; ACCIDENT FREQUENCIES; DRIVERS; SAFETY; Engineering, Civil; Transportation Science & Technology
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.
Journal Title
Journal of Transportation Engineering-Asce
Volume
134
Issue/Number
5
Publication Date
1-1-2008
Document Type
Article
Language
English
First Page
203
Last Page
214
WOS Identifier
ISSN
0733-947X
Recommended Citation
"Freeway work-zone crash analysis and risk identification using multiple and conditional logistic regression" (2008). Faculty Bibliography 2000s. 7037.
https://stars.library.ucf.edu/facultybib2000/7037
Comments
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