44
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Evaluating helmet-wearing of single-vehicle overspeeding motorcycle crashes: Insights from temporal instability in parsimonious pooled framework

ORCID Icon, , , , &
Pages 623-630 | Received 02 Sep 2023, Accepted 13 Mar 2024, Published online: 28 Mar 2024

References

  • Abay KA, Mannering FL. 2016. An empirical analysis of risk-taking in car driving and other aspects of life. Accid Anal Prev. 97:57–68. doi:10.1016/j.aap.2016.08.022.
  • Ābele L, Haustein S, Møller M, Martinussen LM. 2018. Consistency between subjectively and objectively measured hazard perception skills among young male drivers. Accid Anal Prev. 118(9):214–220. doi:10.1016/j.aap.2018.02.022.
  • Ahmed I, Islam T, Ali G, Nawaz MM. 2016. Pillion riders’ cloth related injuries and helmet wearing patterns: a study of Lahore, Pakistan. Int J Inj Contr Saf Promot. 23(4):388–394. doi:10.1080/17457300.2015.1047866.
  • Alnawmasi N, Mannering FL. 2019. A statistical assessment of temporal instability in the factors determining motorcyclist injury severities. Anal Methods Accid Res. 22:100090: 1–20. doi:10.016/j.amar.2019.100090.
  • Behnood A, Al-Bdairi NS. 2020. Determinant of injury severities in large truck crashes: a weekly instability analysis. Saf Sci. 131:104911. doi:10.1016/j.ssci.2020.104911.
  • Behnood A, Mannering FL. 2016. An empirical assessment of the effects of economic recessions on pedestrian-injury crashes using mixed and latent-class models. Anal Methods Accid Res. 12:1–17. doi:10.016/j.amar.2016.07.002.
  • Bhowmik T, Yasmin S, Eluru N. 2019. Do we need multivariate modeling approaches to model crash frequency by crash types? A panel mixed approach to modeling crash frequency by crash types. Anal Methods Accid Res. 24:100107. doi:10.1016/j.amar.2019.100107.
  • Bhowmik T, Yasmin S, Eluru N. 2021. A new econometric approach for modeling several count variables: a case study of crash frequency analysis by crash type and severity. Transportation Research Part B. 153:172–203. doi:10.1016/j.trb.2021.09.008.
  • Chang FR, Xu PP, Zhou HC, Chan AH, Huang HL. 2019. Investigating injury severities of motorcycle riders: a two-step method integrating latent class cluster analysis and random parameters logit model. Accid Anal Prev. 131:316–326. doi:10.1016/j.aap.2019.07.012.
  • Council F, Reurings M, Srinivasan R, Maten S, Carter D. 2010. Development of a speed-related crash typology. FHWA-HRT-10-024. McLean (VA): FHWA.
  • Ijaz M, Lan L, Usman SM, Zahid M, Jamal A. 2021. Investigation of factors influencing motorcyclist injury severity using random parameters logit model with heterogeneity in means and variances. Int J Crashworthiness. 27(5):1412–1422. doi:10.1080/13588265.2021.1959153.
  • Islam M, Alogaili A, Mannering FL, Maness M. 2023. Evidence of sample selectivity in highway injury-severity models: the case of risky driving during COVID-19. Anal Methods Accid Res. 38:100263. doi:10.1016/j.amar.2022.100263.
  • Islam M, Mannering FL. 2020. A temporal analysis of driver-injury severities in crashes involving aggressive and non-aggressive driving. Anal Methods Accid Res. 27:100128. doi:10.1016/j.amar.2020.100128.
  • Islam M, Mannering FL. 2021. The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions. Accid Anal Prev. 153:106039. doi:10.1016/j.aap.2021.106039.
  • 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.
  • Mannering FL. 2018. Temporal instability and the analysis of highway accident data. Anal Methods Accid Res. 17:1–13. doi:10.1016/j.amar.2017.10.002.
  • McFadden D, Train K. 2000. Mixed MNL models for discrete response. J Appl Econ. 15(5):447–470. doi:10.1002/1099-1255(200009/10)15:5<447::AID-JAE570>3.0.CO;2-1.
  • Milton JC, Shankar VN, Mannering FL. 2008. Highway accident severities and the mixed logit model: an exploratory empirical analysis. Accid Anal Prev. 40(1):260–266. doi:10.1016/j.aap.2007.06.006.
  • Rescue1122. 2016. Consolidated report of road traffic emergencies. Pakistan: Punjab Emergency Service.
  • Savolainen P, Mannering FL. 2007. Probabilistic models of motorcyclists’ injury severities in single-and multi-vehicle crashes. Accid Anal Prev. 39(5):955–963. doi:10.1016/j.aap.2006.12.016.
  • Se C, Champahom T, Jomnonkwao S, Ratanavaraha V. 2022. Motorcyclist injury severity analysis: a comparison of Artificial Neural Networks and random parameter model with heterogeneity in means and variances. Int J Inj Contr Saf Promot. 29(4):500–515. doi:10.1080/17457300.2022.2081985.
  • Shaheed MS, Gkritza K, Zhang W, Hans Z. 2013. A mixed logit analysis of two-vehicle crash severities involving a motorcycle. Accid Anal Prev. 61:119–128. doi:10.1016/j.aap.2013.05.028.
  • Shaheed MS, Gkritza K. 2014. A latent class analysis of single-vehicle motorcycle crash severity outcomes. Anal Methods Accid Res. 2:30–38. doi:10.1016/j.amar.2014.03.002.
  • Shankar VN, Mannering FL. 1996. An exploratory multinomial logit analysis of single-vehicle motorcycle accident severity. J Saf Res. 27(3):183–194. doi:10.1016/0022-4375(96)00010-2.
  • Wang CZ, Chen F, Zhang YL, Wang SY, Yu B, Cheng JC. 2022b. 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 CZ, Ijaz M, Chen F, Song DD, Hou MY, Zhang YL, Cheng JC, Zahid M. 2023. Differences in single-vehicle motorcycle crashes caused by distraction and overspeed behaviors: considering temporal shifts and unobserved heterogeneity in prediction. Int J Inj Contr Saf Promot. 30(3):375–391. doi:10.1080/17457300.2023.2200768.
  • Wang CZ, Ijaz M, Chen F, Zhang YL, Cheng JC, Zahid M. 2022c. Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: accommodating temporal shifts and unobserved heterogeneity. Anal Methods Accid Res. 36:100249. doi:10.1016/j.amar.2022.100249.
  • Waseem M, Ahmed A, Saeed TU. 2019. Factors affecting motorcyclists’ injury severities: an empirical assessment using random parameters logit model with heterogeneity in means and variances. Accid Anal Prev. 123:12–19. doi:10.1016/j.aap.2018.10.022.
  • Washington S, Karlaftis M, Mannering FL, Anastasopoulos P. 2020. Statistical and econometric methods for transportation data analysis. 3rd ed. New York (NY): CRC Press, Taylor and Francis Group.
  • World Health Organization. 2018. Global status report on road safety 2018. Geneva: WHO.
  • World Health Organization. 2009. Global status report on road safety 2009. Geneva: WHO.
  • Xin CF, Wang ZY, Lee CY, Lin PS. 2017. Modeling safety effects of horizontal curve design on injury severity of single-motorcycle crashes with mixed-effects logistic model. Transp Res Record. 2637(1):38–46. doi:10.3141/2637-05.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.