Examining the factors effecting severity of two-wheeler crashes at intersections

References

• WHO. Global status report on road safety 2018: summary. Geneva: World Health Organization, 2018.
   Google Scholar
• Montella A, de Oña R, Mauriello F, et al. A data mining approach to investigate patterns of powered two-wheeler crashes in Spain. Accid Anal Prev. 2020;134:105251.
   PubMed Web of Science ®Google Scholar
• MORTH. Road accidents in India-2018. Minist Road Transp Highw Transp Res WIng. 2019;33(1):75–79.
   Google Scholar
• Mohan D, Tiwari G, Mukherjee S. Urban traffic safety assessment: a case study of six indian cities. IATSS Res. 2016;39(2):95–101.
   Web of Science ®Google Scholar
• Mussone L, Bassani M, Masci P. Analysis of factors affecting the severity of crashes in urban road intersections. Accid Anal Prev. 2017;103:112–122.
   PubMed Web of Science ®Google Scholar
• Vieira Gomes S, Geedipally SR, Lord D. Estimating the safety performance of urban intersections in Lisbon, Portugal. Saf. Sci. 2012;50(9):1732–1739.
   Web of Science ®Google Scholar
• Yang N, Li Y, Liu T, et al. Analysis of fatal factors influencing accidents involving two-wheel electric vehicle drivers at intersections. Leg Med (Tokyo). 2020;45:101696.
   PubMed Web of Science ®Google Scholar
• Barbosa H, Cunto F, Bezerra B, et al. Safety performance models for urban intersections in Brazil. Accid Anal Prev. 2014;70:258–266.
   PubMed Web of Science ®Google Scholar
• Wahab L, Jiang H. A multinomial logit analysis of factors associated with severity of motorcycle crashes in Ghana. Traffic Inj Prev. 2019;20(5):521–527.
   PubMed Web of Science ®Google Scholar
• Rezapour M, Moomen M, Ksaibati K. Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: a case study in Wyoming. J Safety Res. 2019;68:107–118.
   PubMed Web of Science ®Google Scholar
• Yasmin S, Eluru N, Bhat CR, et al. A latent segmentation based generalized ordered logit model to examine factors influencing driver injury severity. Anal Methods Accid Res. 2014;1:23–38.
   Google Scholar
• Martensen H, Dupont E. Comparing single vehicle and multivehicle fatal road crashes: a joint analysis of road conditions, time variables and driver characteristics. Accid Anal Prev. 2013;60:466–471.
   PubMed Web of Science ®Google Scholar
• Yau KKW, Lo HP, Fung SHH. Multiple-vehicle traffic accidents in Hong Kong. Accid Anal Prev. 2006;38(6):1157–1161.
   PubMed Web of Science ®Google Scholar
• Allen T, Newstead S, Lenné MG, et al. Contributing factors to motorcycle injury crashes in Victoria, Australia. Transp. Res. Part F Traffic Psychol. Behav. 2017;45:157–168.
   Web of Science ®Google Scholar
• Savolainen P, Mannering F. Probabilistic models of motorcyclists' injury severities in single- and multi-vehicle crashes. Accid Anal Prev. 2007;39(5):955–963.
   PubMed Web of Science ®Google Scholar
• Northmore A, Hildebrand E. Intersection characteristics that influence collision severity and cost. J Safety Res. 2019;70:49–57.
   PubMed Web of Science ®Google Scholar
• Rifaat SM, Tay R, de Barros A. Severity of motorcycle crashes in Calgary. Accid Anal Prev. 2012;49:44–49.
   PubMed Web of Science ®Google Scholar
• Abrari Vajari M, Aghabayk K, Sadeghian M, et al. A multinomial logit model of motorcycle crash severity at Australian intersections. J Safety Res. 2020;73:17–24.
   PubMed Web of Science ®Google Scholar
• Persaud BN, Retting RA, Garder PE, et al. Safety effect of roundabout conversions in the United States: empirical Bayes observational before-after study. Transp Res Rec. 2001;1751(1):1–8.
   Google Scholar
• Langley J, Mullin B, Jackson R, et al. Motorcycle engine size and risk of moderate to fatal injury from a motorcycle crash. Accid Anal Prev. 2000;32(5):659–663.
   PubMed Web of Science ®Google Scholar
• Shankar V, Mannering F. An exploratory multinomial logit analysis of single-vehicle motorcycle accident severity. J Safety Res. 1996;27(3):183–194.
   Web of Science ®Google Scholar
• Quddus MA, Noland RB, Chin HC. An analysis of motorcycle injury and vehicle damage severity using ordered probit models. J Safety Res. 2002;33(4):445–462.
   PubMed Web of Science ®Google Scholar
• Keng S-H. Helmet use and motorcycle fatalities in Taiwan. Accid Anal Prev. 2005;37(2):349–355.
   PubMed Web of Science ®Google Scholar
• Wolf LL, Chowdhury R, Tweed J, et al. Factors associated with pediatric mortality from motor vehicle crashes in the United States: a state-based analysis. J Pediatr. 2017;187:295–302.e3.
   PubMed Web of Science ®Google Scholar
• Zhang K, Hassan M. Crash severity analysis of nighttime and daytime highway work zone crashes. PLoS One. 2019;14(8):e0221128
   PubMed Web of Science ®Google Scholar
• Uçar O, Tatlıdil H. Application of three discrete choice models to motorcycle accidents and a comparison of the results. Hacettepe J Math Stat. 2005;34:55–66.
   Google Scholar
• Peek-Asa C, Kraus JF. Alcohol use, driver, and crash characteristics among injured motorcycle drivers. J Trauma. 1996;6:989–993.
   Google Scholar
• Feng Z, Lei Y, Zhang W, et al. Analysis on traffic accident severity influenced by road environment on circular highway. China J Highw Trans. 2016;29:116–123.
   Google Scholar
• Shaheed MS, Gkritza K. A latent class analysis of single-vehicle motorcycle crash severity outcomes. Anal Methods Accid Res. 2014;2:30–38.
   Google Scholar
• Xie Y, Zhao K, Huynh N. Analysis of driver injury severity in rural single-vehicle crashes. Accid Anal Prev. 2012;47:36–44.
   PubMed Web of Science ®Google Scholar
• Jimenez A, Bocarejo JP, Zarama R, et al. A case study analysis to examine motorcycle crashes in Bogota, Colombia. J Safety Res. 2015;52:29–38.
   PubMed Web of Science ®Google Scholar
• Vlahogianni EI, Yannis G, Golias JC. Overview of critical risk factors in power-two-wheeler safety. Accid Anal Prev. 2012;49:12–22.
   PubMed Web of Science ®Google Scholar
• Huang H, Chin HC, Haque MM. Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis. Accid Anal Prev. 2008;40(1):45–54.
   PubMed Web of Science ®Google Scholar
• Pai C-W, Saleh W. An analysis of motorcyclist injury severity under various traffic control measures at three-legged junctions in the UK. Saf Sci. 2007;45(8):832–847.
   Web of Science ®Google Scholar
• Blackman RA, Haworth NL. Comparison of moped, scooter and motorcycle crash risk and crash severity. Accid Anal Prev. 2013;57:1–9.
   PubMed Web of Science ®Google Scholar
• Haque MM, Chin HC. Right-Angle crash vulnerability of motorcycles at signalized intersections. Transp Res Rec. 2010;2194(1):82–90.
   Google Scholar
• Shaheed MSB, Gkritza K, Zhang W, et al. A mixed logit analysis of two-vehicle crash severities involving a motorcycle. Accid Anal Prev. 2013;61:119–128.
   PubMed Web of Science ®Google Scholar
• Montella A, Aria M, D'Ambrosio A, et al. Analysis of powered two-wheeler crashes in Italy by classification trees and rules discovery. Accid Anal Prev. 2012;49:58–72.
   PubMed Web of Science ®Google Scholar
• Wang Z, Huang S, Wang J, et al. Risk factors affecting crash injury severity for different groups of e-bike riders: a classification tree-based logistic regression model. J Safety Res. 2021;76:176–183.
   PubMed Web of Science ®Google Scholar
• Demirci E, Yıldız AR. An investigation of the crash performance of magnesium, aluminum and advanced high strength steels and different cross-sections for vehicle thin-walled energy absorbers. Mater Test. 2018;60(7–8):661–668.
   Web of Science ®Google Scholar
• Kurtuluş E, Yıldız AR, Sait SM, et al. A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails. Mater Test. 2020;62(3):251–260.
   Web of Science ®Google Scholar
• Aye CM, Pholdee N, Yildiz AR, et al. Multi-surrogate-assisted metaheuristics for crashworthiness optimisation. IJVD. 2019;80(2/3/4):223.
   Google Scholar
• Demirci E, Yıldız AR. An experimental and numerical investigation of the effects of geometry and spot welds on the crashworthiness of vehicle thin-walled structures. Mater Test. 2018;60(6):553–561.
   Web of Science ®Google Scholar
• Islam S, Mannering F. Driver aging and its effect on male and female single-vehicle accident injuries: some additional evidence. J Safety Res. 2006;37(3):267–276.
   PubMed Web of Science ®Google Scholar
• Salum JH, Kitali AE, Bwire H, et al. Severity of motorcycle crashes in Dar Es Salaam, Tanzania. Traffic Inj Prev. 2019;20(2):189–195.
   PubMed Web of Science ®Google Scholar
• Geedipally SR, Turner PA, Patil S. Analysis of motorcycle crashes in Texas with multinomial logit model. Transp Res Rec. 2011;2265(1):62–69.
   Google Scholar
• Çelik AK, Oktay E. A multinomial logit analysis of risk factors influencing road traffic injury severities in the Erzurum and Kars provinces of Turkey. Accid Anal Prev. 2014;72:66–77.
   PubMed Web of Science ®Google Scholar
• Chen Z, Fan WD. A multinomial logit model of pedestrian-vehicle crash severity in North Carolina. Int J Transp Sci Technol. 2019;8(1):43–52.
   Google Scholar
• Tay R, Choi J, Kattan L, et al. A multinomial logit model of pedestrian–vehicle crash severity. Int J Sustain Transp. 2011;5(4):233–249.
   Web of Science ®Google Scholar
• Waseem M, Ahmed A, Saeed TU. Factors affecting motorcyclists' injury severities: an empirical assessment using random parameters logit model with heterogeneity in means and variances. Accid Anal Prev. 2019;123:12–19.
   PubMed Web of Science ®Google Scholar
• Cantillo V, Márquez L, Díaz CJ. An exploratory analysis of factors associated with traffic crashes severity in Cartagena, Colombia. Accid Anal Prev. 2020;146:105749.
   PubMed Web of Science ®Google Scholar
• Abdul Manan MM, Várhelyi A, Çelik AK, et al. Road characteristics and environment factors associated with motorcycle fatal crashes in Malaysia. IATSS Res. 2018;42(4):207–220.
   Web of Science ®Google Scholar
• Haque MM, Chin HC, Huang H. Applying Bayesian hierarchical models to examine motorcycle crashes at signalized intersections. Accid Anal Prev. 2010;42(1):203–212.
   PubMed Web of Science ®Google Scholar
• Cafiso S, La Cava G, Pappalardo G. A logistic model for powered two-wheelers crash in Italy. Proc Soc Behav Sci. 2012;53:880–889.
   Google Scholar
• IRC: 53-2012. Road accident recording forms A-1 and A-4 (second revision). Vol. 4. Indian Roads Congr; 2012.
   Google Scholar
• Chang H-L, Yeh T-H. Motorcyclist accident involvement by age, gender, and risky behaviors in Taipei, Taiwan. Transp Res Part F Traffic Psychol Behav. 2007;10(2):109–122.
   Web of Science ®Google Scholar
• Hassan T, Vinodkumar MN, Vinod N. Influence of demographics on risky driving behaviour among powered two wheeler riders in Kerala, India. Transp Res Part F Traffic Psychol Behav. 2017;46:24–33.
   Web of Science ®Google Scholar
• Laapotti S, Keskinen E, Hatakka M, et al. Novice drivers' accidents and violations-a failure on higher or lower hierarchical levels of driving behaviour. Accid Anal Prev. 2001;33(6):759–769.
   PubMed Web of Science ®Google Scholar
• Massie DL, Campbell KL, Williams AF. Traffic accident involvement rates by driver age and gender. Accid Anal Prev. 1995;27(1):73–87.
   PubMed Web of Science ®Google Scholar
• Andrey J, Yagar S. A temporal analysis of rain-related crash risk. Accid Anal Prev. 1993;25(4):465–472.
   PubMed Web of Science ®Google Scholar
• Hambly D, Andrey J, Mills B, et al. Projected implications of climate change for road safety in greater Vancouver, Canada. Clim Change. 2013;116(3–4):613–629.
   Web of Science ®Google Scholar
• Norrman J, Eriksson M, Lindqvist S. Relationships between road slipperiness, traffic accident risk and winter road maintenance activity. Clim Res. 2000;15:185–193.
   Web of Science ®Google Scholar
• Wick M, Müller EJ, Ekkernkamp A, et al. The motorcyclist: easy rider or easy victim? An analysis of motorcycle accidents in Germany. Am J Emerg Med. 1998;16(3):320–323.
   PubMed Web of Science ®Google Scholar