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Research Articles

An exploratory investigation into the influence of risk factors on driver injury severity in angle crashes: A random parameter bivariate ordered probit model approach

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Pages 70-77 | Received 28 Feb 2023, Accepted 30 Jul 2023, Published online: 30 Oct 2023

References

  • Abdel-Aty M, Abdelwahab H. 2004. Analysis and prediction of traffic fatalities resulting from angle collisions including the effect of vehicles’ configuration and compatibility. Accid Anal Prev. 36(3):457–469. doi:10.1016/S0001-4575(03)00041-1.
  • Abdel-Aty M, Haleem K. 2011. Analyzing angle crashes at unsignalized intersections using machine learning techniques. Accid Anal Prev. 43(1):461–470. doi:10.1016/j.aap.2010.10.002.
  • Anarkooli AJ, Hosseinpour M, Kardar A. 2017. Investigation of factors affecting the injury severity of single-vehicle rollover crashes: a random-effects generalized ordered probit model. Accid Anal Prev. 106:399–410. doi:10.1016/j.aap.2017.07.008.
  • Anastasopoulos PC, Karlaftis MG, Haddock JE, Mannering FL. 2012. Household automobile and motorcycle ownership analyzed with random parameters bivariate ordered probit model. Transp Res Rec. 2279(1):12–20. doi:10.3141/2279-02.
  • Azimi G, Rahimi A, Asgari H, Jin X. 2020. Severity analysis for large truck rollover crashes using a random parameter ordered logit model. Accid Anal Prev. 135:105355. doi:10.1016/j.aap.2019.105355.
  • Chiou Y-C, Hwang C-C, Chang C-C, Fu C. 2013. Modeling two-vehicle crash severity by a bivariate generalized ordered probit approach. Accid Anal Prev. 51:175–184. doi:10.1016/j.aap.2012.11.008.
  • Haque MM, Chin HC. 2010. Right-angle crash vulnerability of motorcycles at signalized intersections: mixed logit analysis. Transp Res Rec. 2194(1):82–90. doi:10.3141/2194-10.
  • Jin W, Chowdhury M, Salek MS, Khan SM, Gerard P. 2021. Investigating hierarchical effects of adaptive signal control system on crash severity using random-parameter ordered regression models incorporating observed heterogeneity. Accid Anal Prev. 150:105895. doi:10.1016/j.aap.2020.105895.
  • Kaplan S, Prato CG. 2012. Risk factors associated with bus accident severity in the United States: a generalized ordered logit model. J Safety Res. 43(3):171–180. doi:10.1016/j.jsr.2012.05.003.
  • Kim D-G, Lee Y, Washington S, Choi K. 2007. Modeling crash outcome probabilities at rural intersections: application of hierarchical binomial logistic models. Accid Anal Prev. 39(1):125–134. doi:10.1016/j.aap.2006.06.011.
  • Kockelman KM, Kweon Y-J. 2002. Driver injury severity: an application of ordered probit models. Accid Anal Prev. 34(3):313–321. doi:10.1016/s0001-4575(01)00028-8.
  • Montella A. 2011. Identifying crash contributory factors at urban roundabouts and using association rules to explore their relationships to different crash types. Accid Anal Prev. 43(4):1451–1463. doi:10.1016/j.aap.2011.02.023.
  • NHTSA. 2019. Crash Report Sampling System Analytical user’s manual, 2016–2019. Washington, DC: National Highway Traffic Safety Administration.
  • National Safety Council. 2021. Injury facts. https://injuryfacts.nsc.org/motor-vehicle/overview/introduction/.
  • Okafor S, Adanu EK, Lidbe A, Jones S. 2023. Severity analysis of single-vehicle left and right run-off-road crashes using a random parameter ordered logit model. Traffic Inj Prev. 24(3):251–255. doi:10.1080/15389588.2023.2174376.
  • Pai C-W. 2009. Motorcyclist injury severity in angle crashes at T-junctions: identifying significant factors and analysing what made motorists fail to yield to motorcycles. Saf Sci. 47(8):1097–1106. doi:10.1016/j.ssci.2008.12.007.
  • Quddus MA, Noland RB, Chin HC. 2002. An analysis of motorcycle injury and vehicle damage severity using ordered probit models. J Safety Res. 33(4):445–462. doi:10.1016/s0022-4375(02)00051-8.
  • RStudio Desktop. 2023. Version: 2023.09.1+494. https://posit.co/download/rstudio-desktop/.
  • Russo BJ, Savolainen PT, Schneider WH, Anastasopoulos P. 2014. Comparison of factors affecting injury severity in angle collisions by fault status using a random parameters bivariate ordered probit model. Anal Methods Accid Res. 2:21–29. doi:10.1016/j.amar.2014.03.001.
  • Sadri AM, Ukkusuri SV, Murray-Tuite P. 2013. A random parameter ordered probit model to understand the mobilization time during hurricane evacuation. Transp Res Part C: Emerging Technol. 32:21–30. doi:10.1016/j.trc.2013.03.009.
  • Se C, Champahom T, Jomnonkwao S, Ratanavaraha V. 2023. Empirical examination of interdependent relationship between usage of seatbelt restraint system and driver-injury severity of single-vehicle crashes in Thailand using a joint econometric analysis. Traffic Inj Prev. 24(6):503–510. doi:10.1080/15389588.2023.2218511.
  • Sun Z, Xing Y, Gu X, Chen Y. 2022. Influence factors on injury severity of bicycle-motor vehicle crashes: a two-stage comparative analysis of urban and suburban areas in Beijing. Traffic Inj Prev. 23(2):118–124. doi:10.1080/15389588.2021.2024523.
  • Wang C, Chen F, Zhang Y, Wang S, Yu B, Cheng J. 2022. Temporal stability of factors affecting injury severity in rear-end and non-rear-end crashes: a random parameter approach with heterogeneity in means and variances. Anal Methods Accid Res. 35:100219. doi:10.1016/j.amar.2022.100219.
  • Wang S, Li F, Wang Z, Wang J. 2022. A random parameter bivariate probit model for injury severities of riders and pillion passengers in motorcycle crashes. J Transp Saf Secur. 14(8):1289–1306. doi:10.1080/19439962.2021.1916666.
  • WinBUGS. 2023. Version 1.4.3. [BSU]. https://www.mrc-bsu.cam.ac.uk/software/bugs/the-bugs-project-winbugs/.
  • World Health Organization. 2018. Global status report on road safety 2018. https://www.who.int/publications/i/item/9789241565684.
  • Yamamoto T, Shankar VN. 2004. Bivariate ordered-response probit model of driver’s and passenger’s injury severities in collisions with fixed objects. Accid Anal Prev. 36(5):869–876. doi:10.1016/j.aap.2003.09.002.
  • Yu R, Abdel-Aty M. 2014. Using hierarchical Bayesian binary probit models to analyze crash injury severity on high speed facilities with real-time traffic data. Accid Anal Prev. 62:161–167. doi:10.1016/j.aap.2013.08.009.
  • Yuan Q, Xu X, Xu M, Zhao J, Li Y. 2020. The role of striking and struck vehicles in side crashes between vehicles: Bayesian bivariate probit analysis in China. Accid Anal Prev. 134:105324. doi:10.1016/j.aap.2019.105324.
  • Zeng Q, Gu W, Zhang X, Wen H, Lee J, Hao W. 2019. Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors. Accid Anal Prev. 127:87–95. doi:10.1016/j.aap.2019.02.029.
  • Zeng Q, Wang Q, Zhang K, Wong SC, Xu P. 2023. Analysis of the injury severity of motor vehicle–pedestrian crashes at urban intersections using spatiotemporal logistic regression models. Accid Anal Prev. 189:107119. doi:10.1016/j.aap.2023.107119.
  • Zhang Z, Li H, Hu H, Ren G. 2022. How yielding cameras affect consecutive pedestrian-vehicle conflicts at non-signalized crosswalks? A mixed bivariate generalized ordered approach. Accid Anal Prev. 178:106851. doi:10.1016/j.aap.2022.106851.
  • Zhou J, Zheng T, Dong S, Mao X, Ma C. 2022. Impact of helmet-wearing policy on e-bike safety riding behavior: a bivariate ordered probit analysis in Ningbo, China. Int J Environ Res Public Health. 19(5):2830. doi:10.3390/ijerph19052830.

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