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contributor authorRami Harb
contributor authorEssam Radwan
contributor authorXuedong Yan
contributor authorAnurag Pande
contributor authorMohamed Abdel-Aty
date accessioned2017-05-08T21:05:06Z
date available2017-05-08T21:05:06Z
date copyrightMay 2008
date issued2008
identifier other%28asce%290733-947x%282008%29134%3A5%28203%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/38060
description abstractWork-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.
publisherAmerican Society of Civil Engineers
titleFreeway Work-Zone Crash Analysis and Risk Identification Using Multiple and Conditional Logistic Regression
typeJournal Paper
journal volume134
journal issue5
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/(ASCE)0733-947X(2008)134:5(203)
treeJournal of Transportation Engineering, Part A: Systems:;2008:;Volume ( 134 ):;issue: 005
contenttypeFulltext


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