Application of Bayesian ordinal logistic model for identification of factors to traffic barrier crashes: considering roadway classification

References

• Abdel-Aty, M. 2003. “Analysis of Driver Injury Severity Levels at Multiple Locations Using Ordered Probit Models.” Journal of Safety, Health and Environmental Research 34 (5): 597–603. doi:10.1016/j.jsr.2003.05.009.
   Google Scholar
• American Association of State Highway and Transportation Officials. 2012. Guideline for Geometric Design of Very Low-volume Local Roads.
   Google Scholar
• Apronti, D., K. Ksaibati, K. Gerow, J. J. Hepner. 2016. “Estimating Traffic Volume on Wyoming Low Volume Roads Using Linear and Logistic Regression Methods.” Journal of Traffic and Transportation Engineering (English Edition) 3 (6): 493–506. DOI:10.1016/j.jtte.2016.02.004.
   Google Scholar
• Blincoe, L., T. R. Miller, E. Zaloshnja, and B. A. Lawrence. The Economic and Societal Impact Of Motor Vehicle Crashes, 2010 (Revised) (No. Dot Hs.2015;812:013).
   Google Scholar
• Congdon, P. 2014. Applied Bayesian Modelling (Vol. 595). John Wiley & Sons.
   Google Scholar
• Dhivyabharathi, B., E. Hima, and L. Vanajakshi. 2018. “Stream Travel Time Prediction Using Particle Filtering Approach.” Transportation Letters 10 (2): 75–82. doi:10.1080/19427867.2016.1192016.
   Web of Science ®Google Scholar
• Gelman, A., J. Hwang, and A. Vehtari. 2014. Understanding Predictive Information Criteria for Bayesian Models. Statistics and Computing 24(6). 997–1016. doi:10.1007/s11222-013-9416-2.
   Web of Science ®Google Scholar
• Golob, T. F., and W. W. Recker. 2003. “Relationships among Urban Freeway Accidents, Traffic Flow, Weather, and Lighting Conditions.” Journal of Transportation Engineering 129 (4): 342–353. doi:10.1061/(ASCE)0733-947X(2003)129:4(342).
   Web of Science ®Google Scholar
• Guide, R. D. 1996. American Association Of State Highway and Transportation Officials. DC: Washington.
   Google Scholar
• Holdridge, J. M., V. N. Shankar, and G. F. Ulfarsson. 2005. “The Crash Severity Impacts of Fixed Roadside Objects.” Journal of Safety, Health and Environmental Research 36 (2): 139–147. doi:10.1016/j.jsr.2004.12.005.
   Google Scholar
• Hu, W., and E. T. Donnell. 2010. “Median Barrier Crash Severity: Some New Insights.” Accident Analysis & Prevention 42 (6): 1697–1704. doi:10.1016/j.aap.2010.04.009.
   PubMed Web of Science ®Google Scholar
• Jama, H. H., R. H. Grzebieta, R. Friswell, A. S. McIntosh. 2011. “Characteristics of Fatal Motorcycle Crashes into Roadside Safety Barriers in Australia and New Zealand.” Accident Analysis & Prevention 43 (3): 652–660. DOI:10.1016/j.aap.2010.10.008.
   PubMed Web of Science ®Google Scholar
• Kockelman, K. M., and Y. Kweon. 2002. “Driver Injury Severity: An Application of Ordered Probit Models.” Accident Analysis & Prevention 34 (3): 313–321. doi:10.1016/S0001-4575(01)00028-8.
   PubMed Web of Science ®Google Scholar
• Lee, S. H., Y. D. Lee, and M. Do. 2016. “Analysis on Safety Impact of Red Light Cameras Using the Empirical Bayesian Approach.” Transportation Letters 8 (5): 241–249. doi:10.1080/19427867.2015.1121009.
   Web of Science ®Google Scholar
• Manual, H. S. 2010. Aashto. Washington, DC, 529.
   Google Scholar
• Mashhadi, M. M. R., S. S. Wulff, and K. Ksaibati. 2017. “Utilizing Crash and Violation Data to Assess Unsafe Driving Actions.” Journal of Sustainable Development of Transport and Logistics 2 (2): 35–46. doi:10.14254/jsdtl.
   Google Scholar
• Mashhadi, M. M. R., S. S. Wulff, and K. Ksaibati. 2018. “A Comprehensive Study of Single and Multiple Truck Crashes Using Violation and Crash Data.” The Open Transportation Journal 12 (1): 43–56. doi:10.2174/1874447801812010043.
   Google Scholar
• Mecheri, S., F. Rosey, and R. Lobjois. 2017. “The Effects of Lane Width, Shoulder Width, and Road Cross-sectional Reallocation on Drivers’ Behavioral Adaptations.” Accident Analysis & Prevention 104: 65–73. doi:10.1016/j.aap.2017.04.019.
   PubMed Web of Science ®Google Scholar
• Moomen, M., M. Rezapour, and K. Ksaibati. 2019. An Investigation Of Influential Factors Of Downgrade Truck Crashes: a Logistic Regression Approach. Journal Of Traffic and Transportation Engineering (English Edition) 6(2). 185–195. doi:10.1016/j.jtte.2018.03.005.
   Google Scholar
• National Highway Traffic Safety Administration. 2014. Traffic Safety Facts: Rural/Urban Comparison.DOT HS 812 050. Washington DC: US Department of Transportation.
   Google Scholar
• Neter, J., M. H. Kutner, C. J. Nachtsheim, and W. Wasserman 1996. Applied linear statistical models.
   Google Scholar
• Peden, M. 2004. World Report on Road Traffic Injury Prevention.
   Google Scholar
• Plainis, S., I. J. Murray, and I. G. Pallikaris. 2006. “Road Traffic Casualties: Understanding the Night-time Death Toll.” Injury Prevention : Journal of the International Society for Child and Adolescent Injury Prevention 12 (2): 125–128. 12/2/125. doi:10.1136/ip.2005.011056.
   PubMed Web of Science ®Google Scholar
• Prato, C. G., T. K. Rasmussen, and S. Kaplan. 2014. “Risk Factors Associated with Crash Severity on Low-volume Rural Roads in Denmark.” Journal of Transportation Safety & Security 6 (1): 1–20. doi:10.1080/19439962.2013.796027.
   Web of Science ®Google Scholar
• Rezapour, M., S. S. Wulff, and K. Ksaibati. Predicting Truck At-fault Crashes Using Crash and Traffic Offence Data. The Open Transportation Journal. 2018;12:1. DOI: 10.2174/18744478018120100128.
   Google Scholar
• Rezapour, M., S. S. Wulff, and K. Ksaibati. 2018. “Predicting Truck At-Fault Crashes Using Crash and Traffic Offence Data.” The Open Transportation Journal 12 (1): 128–138. doi:10.2174/18744478018120100128.
   Google Scholar
• SAS Institute. 2015. Base SAS 9.4 Procedures Guide. SAS Institute.
   Google Scholar
• SAS Institute. 2000. SAS language reference: dictionary, version 8 (Vol. 1). Sas Inst.
   Google Scholar
• Schumaker, L., M. M. Ahmed, and K. Ksaibati. 2017. “Policy Considerations for Evaluating the Safety Effectiveness of Passing Lanes on Rural Two-lane Highways with Lower Traffic Volumes: Wyoming 59 Case Study.” Journal of Transportation Safety & Security 9 (1): 1–19. doi:10.1080/19439962.2015.1055415.
   Web of Science ®Google Scholar
• Shankar, V., and F. Mannering. 1996. “An Exploratory Multinomial Logit Analysis of Single-vehicle Motorcycle Accident Severity.” Journal of Safety, Health and Environmental Research 27 (3): 183–194. doi:10.1016/0022-4375(96)00010-2.
   Google Scholar
• Subramanian, R. 2005. “Motor Vehicle Traffic Crashes as a Leading Cause of Death in the United States, 2001.” Young 1: 3.
   Google Scholar
• Tarko, A., N. Villwock, and N. Blond. 2008. “Effect of Median Design on Rural Freeway Safety: Flush Medians with Concrete Barriers and Depressed Medians.” Transportation Research Record: Journal of the Transportation Research Board 2060: 29–37. doi:10.3141/2060-04.
   Web of Science ®Google Scholar
• Tay, R., J. Choi, L. Kattan, A. Khan. 2011. “A Multinomial Logit Model of Pedestrian–vehicle Crash Severity.” International Journal of Sustainable Transportation 5 (4): 233–249. DOI:10.1080/15568318.2010.497547.
   Web of Science ®Google Scholar
• Uddin, M., and N. Huynh. 2018. “Factors Influencing Injury Severity of Crashes Involving HAZMAT Trucks.” International Journal of Transportation Science and Technology 7 (1): 1–9. doi:10.1016/j.ijtst.2017.06.004.
   Google Scholar
• Veall, M. R., and K. F. Zimmermann. 1996. “Pseudo‐R2 Measures for Some Common Limited Dependent Variable Models.” Journal of Economic Surveys 10 (3): 241–259. doi:10.1111/joes.1996.10.issue-3.
   Google Scholar
• Weber, A., and D. C. Murray. 2014. Evaluating the Impact of Commercial Motor Vehicle Enforcement Disparities on Carrier Safety Performance. American Transportation Research Institute.
   Google Scholar
• Xie, Y., Y. Zhang, and F. Liang. 2009. “Crash Injury Severity Analysis Using Bayesian Ordered Probit Models.” Journal of Transportation Engineering 135 (1): 18–25. doi:10.1061/(ASCE)0733-947X(2009)135:1(18).
   Web of Science ®Google Scholar
• Zou, Y., A. P. Tarko, E. Chen, M. A. Romero. 2014. “Effectiveness of Cable Barriers, Guardrails, and Concrete Barrier Walls in Reducing the Risk of Injury”. Accident Analysis & Prevention 72: 55–65. doi:10.1016/j.aap.2014.06.013.
   PubMed Web of Science ®Google Scholar