Freeway work-zone crash analysis and risk identification using multiple and conditional logistic regression

Authors

    Authors

    R. Harb; E. Radwan; X. D. Yan; A. Pande;M. Abdel-Aty

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    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

    WOS:000255352800004

    ISSN

    0733-947X

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