Assessing the effects of geometry and non-geometry related factors in work-zone crashes

References

• Akepati SR, Dissanayake S. 2011. Risk factors associated with injury severity of work zone crashes. Transportation Research Board 90th Annual Meeting, CD-ROM, Transportation Research Board of the National Academies, Washington, D.C.
   Google Scholar
• Arditi D, Lee D, Polat G. 2007. Fatal accidents in nighttime vs. Daytime highway construction work zones. J Safety Res. 38(4):399–405. doi:10.1016/j.jsr.2007.04.001.
   PubMed Web of Science ®Google Scholar
• Ashqar HI, Shaheen QH, Ashur SA, Rakha HA. 2021. Impact of risk factors on work zone crashes using logistic models and Random Forest. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), IEEE, pp. 1815–1820. doi:10.1109/ITSC48978.2021.9564405.
   Google Scholar
• Bédard M, Guyatt GH, Stones MJ, Hirdes JP. 2002. The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. Accid Anal Prev. 34(6):717–727. doi:10.1016/s0001-4575(01)00072-0.
   PubMed Web of Science ®Google Scholar
• Behnood A, Roshandeh A, Mannering F. 2014. Latent class analysis of the effects of age, gender, and alcohol consumption on driver-injury severities. Anal Meths Acc Res. 3–4:56–91. doi:10.1016/j.amar.2014.10.001.
   Google Scholar
• Daniel J, Dixon K, Jared D. 2000. Analysis of fatal crashes in Georgia work zones. Transp Res Record. 1715(1):18–23. doi:10.3141/1715-03.
   Google Scholar
• Elghamrwy T, El-Rayes K, Liu L. 2010. Analysis of injury and fatal crashes in highway construction zones. Construction Research Congress. doi:10.1061/41109(373)57.
   Google Scholar
• FHWA. 2016. Work zone facts and statistics. https://ops.fhwa.dot.gov/wz/resources/facts_stats.htm.
   Google Scholar
• Garber NJ, Zhao M. 2002. Distribution and characteristics of crashes at different work zone locations in Virginia. Transpo Res Record. 1794(1):19–25. doi:10.3141/1794-03.
   Google Scholar
• Gupta R, Asgari H, Azimi G, Rahimi A, Jin X. 2021. Analysis of fatal truck-involved work zone crashes in Florida: application of tree-based models. Transp Res Rec. 2675(12):1272–1290. doi:10.1177/03611981211033278.
   Web of Science ®Google Scholar
• Hang J, Yan X, Li X, Duan K. 2022. In-vehicle warnings for work zone and related rear end collisions: a driving simulator experiment. Accid Anal Prev. 174:106768. doi:10.1016/j.aap.2022.106768.
   PubMed Web of Science ®Google Scholar
• Harb R, Radwan E, Yan X, Pande A, Abdel-Aty M. 2008. Freeway work-zone crash analysis and risk identification using multiple and conditional logistic regression. J Transp Eng. 134(5):203–214. doi:10.1061/(ASCE)0733-947X(2008)134:5(203).
   Web of Science ®Google Scholar
• Hargroves BT, Martin MR. 1980. Vehicle accidents in highway work zone. Report FHWA-RD-80-063. FHWA, U.S. Department of Transportation.
   Google Scholar
• Islam M, Alnawmasi N, Mannering F. 2020. Unobserved heterogeneity and temporal instability in the analysis of work-zone crash-injury severities. Anal Meths Acc Res. 28:100130. doi:10.1016/j.amar.2020.100130.
   Web of Science ®Google Scholar
• Islam M, Bertini R. 2023. An empirical analysis of driver injury severities on freeways in florida during COVID-19: accounting for unobserved heterogeneity. Transp Lett Int J Transp Res. 1–16. doi:10.1080/19427867.2023.2229564.
   Web of Science ®Google Scholar
• Islam M, Hernandez S. 2013. Large truck-involved crashes: Exploratory injury severity analysis. J Transp Eng. 139(6):596–604. doi:10.1061/(ASCE)TE.1943-5436.0000539.
   Google Scholar
• Islam M, Hernandez S. 2013. Modeling injury outcomes of crashes involving heavy vehicles on Texas highways. Transp Res Rec 2388(1):28–36. doi:10.3141/2388-05.
   Google Scholar
• Islam M, Hernandez S. 2016. Fatality rates for crashes involving heavy vehicles on highways: a random parameter tobit regression approach. J Transp Saf Sec. 8(3):247–265. doi:10.1080/19439962.2015.1027071.
   Web of Science ®Google Scholar
• Islam M, Mannering F. 2020. A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving. Anal Meths Acc Res. 27:100128. doi:10.1016/j.amar.2020.100128.
   Web of Science ®Google Scholar
• Islam M, Mannering F. 2021. The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions. Accid Anal Prev. 153(3):106039. doi:10.1016/j.aap.2021.106039.
   PubMedGoogle Scholar
• Islam M, Pande A. 2020. An analysis of single-vehicle roadway departure crashes on rural curved segments accounting for unobserved heterogeneity. Transp Res Bd Transp Res Rec J Transp Res Bd. 2674(10):146–157.
   Web of Science ®Google Scholar
• Islam M. 2021. The effect of motorcyclists’ age on injury severities in single-motorcycle crashes with unobserved heterogeneity. J Safety Res. 77:125–138. doi:10.1016/j.jsr.2021.02.010.
   PubMed Web of Science ®Google Scholar
• Islam M. 2022a. An analysis of motorcyclists’ injury severity in work-zone crashes with unobserved heterogeneity. J. Int. Assoc. Traf Saf Sci (IATSS). 46(2):281–289. doi:10.1016/j.iatssr.2022.01.003.
   Google Scholar
• Islam M. 2022b. An empirical analysis of driver injury severities in work-zone and non-work-zone crashes involving single-vehicle large trucks. Traffic Inj Prev. 23(7):398–403. doi:10.1080/15389588.2022.2101643.
   PubMed Web of Science ®Google Scholar
• Islam M. 2023a. An exploratory analysis of the effects of speed limits on pedestrian injury severities in vehicle-pedestrian crashes. J Transp Health. 28:101561. doi:10.1016/j.jth.2022.101561.
   Web of Science ®Google Scholar
• Islam M. 2023b. An empirical analysis on the effects of alcohol-impairment in injury severities of motorcyclists. Int J Crashwth. 1–13. doi:10.1080/13588265.2023.2259705.
   Google Scholar
• Islam M. 2024a. An exploratory assessment of driver injury severities in truck crashes involving fatigued and non-fatigued driving. Transp Res Rec J Transp Res Bd (forthcoming).
   Google Scholar
• Islam M. 2024b. Unraveling the differences in distracted driving injury severities in passenger car, sport utility vehicle, pickup truck, and minivan crashes. Accid Anal Prev. 196:107444. doi:10.1016/j.aap.2023.107444.
   PubMed Web of Science ®Google Scholar
• Khattak AJ, Khattak AJ, Council FM. 2002. Effects of work zone presence on injury and non-injury crashes. Accid Anal Prev. 34(1):19–29. doi:10.1016/s0001-4575(00)00099-3.
   PubMed Web of Science ®Google Scholar
• Khattak AJ, Targa F. 2004. Injury severity and total harm in truck-involved work zone crashes. Transp Res Record. 1877(1):106–116. doi:10.3141/1877-12.
   Google Scholar
• Li Y, Bai Y. 2008. Development of crash-severity-index models for the measurement of work zone risk levels. Accid Anal Prev. 40(5):1724–1731. doi:10.1016/j.aap.2008.06.012.
   PubMed Web of Science ®Google Scholar
• Li Y, Bai Y. 2009. Highway work zone risk factors and their impact on crash severity. J Transp Eng. 135(10):694–701. doi:10.1061/(ASCE)TE.1943-5436.0000055.
   Google Scholar
• McFadden D. 1981. Econometric models for probabilistic choice. Structural analysis of discrete data using econometric applications. Cambridge, MA: MIT Press.
   Google Scholar
• Meng Q, Weng J, Qu X. 2010. A probabilistic quantitative risk assessment model for the long-term work zone crashes. Accid Anal Prev. 42(6):1866–1877. doi:10.1016/j.aap.2010.05.007.
   PubMed Web of Science ®Google Scholar
• Nasrollahzadeh AA, Sofi AR, Ravani B. 2021. Identifying factors associated with roadside work zone collisions using machine learning techniques. Acc Anal Prev 158:1062.
   Web of Science ®Google Scholar
• Nemeth ZA, Migletz DJ. 1978. Accident characteristics before, during, and after safety upgrading projects on Ohio’s rural interstate system. Transp Res Rec J Transp Res Bd 672:19–24.
   Google Scholar
• Nemeth ZA, Rathi A. 1983. Freeway work zone accident characteristics. Transport. Quart. 37(1):145–159.
   Web of Science ®Google Scholar
• Osman M, Paleti R, Mishra S. 2018. Analysis of passenger car crash injury severity in different work zone configurations. Accid Anal Prev. 111:161–172. doi:10.1016/j.aap.2017.11.026.
   PubMed Web of Science ®Google Scholar
• Pigman JG, Agent KR. 1990. Highway accidents in construction and maintenance work zone. Transp Res Rec J Transp Res Bd. 1270:12–21.
   Google Scholar
• Qi Y, Srinivasan R, Teng H, Baker RF. 2005. Frequency of work zone accidents on construction projects. Report No: 55657-03-15. University Transportation Research Center City College of New York, New York
   Google Scholar
• Rouphail NM, Yang ZS, Frazio J. 1988. Comparative study of short and long term urban freeway work zones. Transp Res Rec J Transp Res Board. 1163:4–14.
   Google Scholar
• Schrock SD, Ullman GL, Cothron AS, Kraus E, Voigt AP. 2004. An analysis of fatal work zone crashes in Texas. Report No.: FHWA/TX-05/0-4028-1. Texas Transportation Institute.
   Google Scholar
• Tarko A, Islam M, Thomaz J. 2011. Improving safety in high-speed work zones: a Super 70 study. 2011: Joint Transportation Research Program. West Lafayette, IN: Indiana Department of Transportation and Purdue University.
   Google Scholar
• Train K. 2009. Discrete choice methods with simulation, 2nd ed. New York, NY: Cambridge University Press.
   Google Scholar
• Ullman GL, Schrock SD, Brewer MA, Sankar P, Bryden JE, Corkran M, Hubbs CW. 2006. Traffic Enforcement Strategies in Work Zones. Interim Report for NCHRP 3-80, Texas Transportation Institute.
   Google Scholar
• Venkataraman N, Ulfarsson G, Shankar V. 2013. Random parameter models of interstate crash frequencies by severity, number of vehicles involved, collision and location type. Accid Anal Prev. 59:309–318. doi:10.1016/j.aap.2013.06.021.
   PubMed Web of Science ®Google Scholar
• Wang Z, Lu J, Wang Q, Lu L, Zhang Z. 2010. Modeling injury severity in work zones using ordered probit regression. ICCTP 2010, American Society of Civil Engineers, p. 1058–1067.
   Google Scholar
• Washington S, Karlaftis M, Mannering F. 2011. Statistical and econometric methods for transportation data analysis, 2nd ed. Boca Raton, FL: Taylor and Francis, Chapman and Hall/CRC.
   Google Scholar
• Xiong Y, Mannering F. 2013. The heterogeneous effects of guardian supervision on adolescent driver-injury severities: a finite-mixture random-parameters approach. Transp Res B. 49:39–54. doi:10.1016/j.trb.2013.01.002.
   Google Scholar
• Yasmin S, Eluru N, Bhat C, Tay R. 2014. A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity. Anal Meths Acc Res. 1:23–38. doi:10.1016/j.amar.2013.10.002.
   Google Scholar