Freeway Work-Zone Crash Analysis and Risk Identification Using Multiple and Conditional Logistic Regression-Reference-Cited by-同舟云学术

Freeway Work-Zone Crash Analysis and Risk Identification Using Multiple and Conditional Logistic Regression

Published:2008-05 Issue:5 Volume:134 Page:203-214
ISSN:0733-947X
Container-title:Journal of Transportation Engineering
language:en
Short-container-title:J. Transp. Eng.

Author:

Harb Rami¹²³³⁴,Radwan Essam¹²³³⁴,Yan Xuedong¹²³³⁴,Pande Anurag¹²³³⁴,Abdel-Aty Mohamed¹²³³⁴

Affiliation:

1. Ph.D. Student, Research Associate, Center for Advanced Transportation Systems Simulation (CATSS), Univ. of Central Florida, Orlando, FL 32816.

2. Professor and CATSS Executive Director, Dept. of Civil and Environmental Engineering, Univ. of Central Florida, Orlando, FL 32816 (corresponding author).

3. Research Associate, Center for Advanced Transportation Systems Simulation (CATSS), Univ. of Central Florida, Orlando, FL 32816.

4. Professor of Engineering, Dept. of Civil and Environmental Engineering, Univ. of Central Florida, Orlando, FL 32816.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-947X%282008%29134%3A5%28203%29

Reference33 articles.

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2. Albridge B. Himmler M. Aultman-Hall L. and Stamatiadis N. (1999). “Impact of passenger on young driver safety.” Transportation Research Record . 1693 Transportation Research Board Washington D.C. 25–30.

3. Separate sample logistic discrimination

4. Benekohal R. F. Shim E. and Resende P. T. V. (1995). “Truck drivers’ concerns in work zones: Travel characteristics and accident experiences.” Transportation Research Record . 1509 Transportation Research Board Washington D.C. 55–64.

5. Carr B. R. (1970). “A statistical analysis of rural Ontario traffic crashes using induced exposure data.” Proc. Symp. on the Use of Statistical Methods in the Analysis of Road Accidents OECD Paris 86–72.

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