Abstract
Aim
Road traffic crashes remain a major public health issue and have been the subject of debate in many studies due to their effect on society. This study contributes to the discussion by investigating the risk factors that significantly contribute to driver injury severity sustained in traffic crashes.
Subject and methods
Using the crash data from the Greater Accra region of Ghana, spanning a 3-year period (2014–2016), a generalized ordered logit (GOL) model was estimated to determine the effect of a wide range of variables on driver injury severity outcome.
Results
The results suggest that, in the event of a crash, more severe driver injury was influenced by multiple factors including driver’s gender, driver’s action (e.g., turning, overtaking, going ahead), number of vehicles involved, day of week of the crash, vehicle size, and road width.
Conclusion
The findings of this study highlight the need to further study risk factors significantly influencing driver injury severity.
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References
Abay KA, Paleti R, Bhat CR (2013) The joint analysis of injury severity of drivers in two-vehicle crashes accommodating seat belt use endogeneity. Transp Res B Methodol 50:74–89. https://doi.org/10.1016/j.trb.2013.01.007
Abdel-Aty M (2003) Analysis of driver injury severity levels at multiple locations using ordered probit models. J Saf Res 34:597–603. https://doi.org/10.1016/j.jsr.2003.05.009
Agyeman W, Afukaar F, Agyemang KO (2017) Road traffic crashes in Ghana: statistics 2016. Building and Road Research Institute of Council for Scientific and Industrial Research, Kumasi
Amoh-Gyimah R, Aidoo EN, Akaateba MA, Appiah SK (2016) The effect of natural and built environmental characteristics on pedestrian–vehicle crash severity in Ghana. Int J Inj Control Saf Promot 24(4):459–468. https://doi.org/10.1080/17457300.2016.1232274
Aziz HMA, Ukkusuri SV, Hasan S (2013) Exploring the determinants of pedestrian-vehicle crash severity in new York City. Accid Anal Prev 50:1298–1309
Chang L-Y, Chien J-T (2013) Analysis of driver injury severity in truck-involved accidents using a non-parametric classification tree model. Saf Sci 51:17–22
Chen F, Chen S (2011) Injury severities of truck drivers in single- and multi-vehicle accidents on rural highways. Accid Anal Prev 43:1677–1688. https://doi.org/10.1016/j.aap.2011.03.026
Chen C, Zhang G, Tian Z, Bogus SM, Yang Y (2015) Hierarchical Bayesian random intercept model-based cross-level interaction decomposition for truck driver injury severity investigations. Accid Anal Prev 85:186–198. https://doi.org/10.1016/j.aap.2015.09.005
Chen C, Zhang G, Huang H, Wang J, Tarefder RA (2016a) Examining driver injury severity outcomes in rural non-interstate roadway crashes using a hierarchical ordered logit model. Accid Anal Prev 96:79–87. https://doi.org/10.1016/j.aap.2016.06.015
Chen C et al (2016b) Driver injury severity outcome analysis in rural interstate highway crashes: a two-level Bayesian logistic regression interpretation. Accid Anal Prev 97:69–78. https://doi.org/10.1016/j.aap.2016.07.031
Chen C, Zhang G, Qian Z, Tarefder RA, Tian Z (2016c) Investigating driver injury severity patterns in rollover crashes using support vector machine models. Accid Anal Prev 90:128–139. https://doi.org/10.1016/j.aap.2016.02.011
Chen C, Zhang G, Yang J, Milton JC, Alcantara AD (2016d) An explanatory analysis of driver injury severity in rear-end crashes using a decision table/Naive Bayes (DTNB) hybrid classifier. Accid Anal Prev 90:95–107
Eluru N (2013) Evaluating alternative discrete choice framework for modeling ordinal discrete variables. Accid Anal Prev 55:1–11
Gong L, Fan W (2017) Modeling single-vehicle run-off-road crash severity in rural areas: accounting for unobserved heterogeneity and age difference. Accid Anal Prev 101:124–134. https://doi.org/10.1016/j.aap.2017.02.014
Hu W, Donnell ET (2010) Median barrier crash severity: some new insights. Accid Anal Prev 42:1697–1704. https://doi.org/10.1016/j.aap.2010.04.009
Huang H, Chin HC, Haque MM (2008) Severity of driver injury and vehicle damage in traffic crashes at intersections: a Bayesian hierarchical analysis. Accid Anal Prev 40:45–54. https://doi.org/10.1016/j.aap.2007.04.002
Kashani AT, Shariat-Mohaymany A, Ranjbari A (2012) Analysis of factors associated with traffic injury severity on rural roads in Iran. J Inj Violence Res 4:36–41
Khorashadi A, Niemeier D, Shankar V, Mannering F (2005) Differences in rural and urban driver-injury severities in accidents involving large-trucks: an exploratory analysis. Accid Anal Prev 37:910–921. https://doi.org/10.1016/j.aap.2005.04.009
Kim JK, Ulfarsson GF, Kim S, Shankar VN (2013) Driver-injury severity in single-vehicle crashes in California: a mixed logit analysis of heterogeneity due to age and gender. Accid Anal Prev 50:1073–1081. https://doi.org/10.1016/j.aap.2012.08.011
Kockelman KM, Kweon Y-J (2002) Driver injury severity: an application of ordered probit models. Accid Anal Prev 34:313–321
Lee C, Li X (2014) Analysis of injury severity of drivers involved in single- and two-vehicle crahes on highways in Ontario. Accid Anal Prev 71:286–295
Liu B-S (2007) Association of intersection approach speed with driver characteristics, vehicle type and traffic conditions comparing urban and suburban areas. Accid Anal Prev 39:216–223. https://doi.org/10.1016/j.aap.2006.07.005
Michalaki P, Quddus MA, Pitfield D, Huetson A (2015) Exploring the factors affecting motorway accident severity in England using the generalised ordered logistic regression model. J Saf Res 55:89–97
Paleti R, Eluru N, Bhat CR (2010) Examining the influence of aggressive driving behavior on driver injury severity in traffic crashes. Accid Anal Prev 42:1839–1854. https://doi.org/10.1016/j.aap.2010.05.005
Peterson B, Harrell FE (1990) Partial proportional odds models for ordinal response variables. Appl Stat 39:205–217
Quddus MA, Wang C, Ison SG (2010) Road traffic congestion and crash severity: econometric analysis using ordered response models. J Transp Eng 136:424–435
Savolainen P, Mannering F, Lord D, Quddus M (2011) The statistical analysis of highway crash-injury severities: a review and assessment of methodological alternatives. Accid Anal Prev 43:1666–1676
Shawky M, Hassan HM, Garib AM, Al-Harthei HA (2015) Examining the factors affecting the severity of run-off-road crashes in Abu Dhabi. Can J Civ Eng 43:132–138. https://doi.org/10.1139/cjce-2014-0393
Tay R, Rifaat SM (2007) Factors contributing to the severity of intersection crashes. J Adv Transp 41:245–265. https://doi.org/10.1002/atr.5670410303
Tay R, Choi C, Kattan L, Khan A (2011) A multinomial logit model of pedestrian–vehicle crash severity. Int J Sustain Transp 5:233–249
Wang X, Abdel-AtyM (2008) Analysis of left-turn crash injury severity by 458 conflicting pattern using partial proportional odds models. Accid Anal 459 Prev 40:1674–1682. https://doi.org/10.1016/j.aap.2008.06.001
WHO (2015) Global status report on road safety 2015. World Health Organisation, Geneva
Williams R (2006) Generalized ordered logit/partial proportional odds models for ordinal dependent variables. Stata J 6:58–82
Wu Q, Chen F, Zhang G, Liu XC, Wang H, Bogus SM (2014) Mixed logit model-based driver injury severity investigations in single- and multi-vehicle crashes on rural two-lane highways. Accid Anal Prev 72:105–115. https://doi.org/10.1016/j.aap.2014.06.014
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 36:869–876. https://doi.org/10.1016/j.aap.2003.09.002
Yasmin S, Eluru N, Pinjari AR, Tay R (2014) Examining driver injury severity in two vehicle crashes - a copula based approach. Accid Anal Prev 66:120–135. https://doi.org/10.1016/j.aap.2014.01.018
Ye F, Lord D (2013) Comparing three commonly used crash severity models on sample size requirements: multinomial logit, ordered probit and mixed logit models. Analytic Methods in Accident Research. https://doi.org/10.1016/j.amar.2013.03.001
Yuan Q, Lu M, Theofilatos A, Li Y-B (2017) Investigation on occupant injury severity in rear-end crashes involving trucks as the front vehicle in Beijing area, China. Chin J Traumatol 20:20–26. https://doi.org/10.1016/j.cjtee.2016.10.002
Acknowledgements
We are thankful to the staff of the Building and Road Research Institute, Ghana, particularly Jane Esi Monkah for their help with the preparation.
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Aidoo, E.N., Ackaah, W. A generalized ordered logit analysis of risk factors associated with driver injury severity. J Public Health (Berl.) 29, 471–477 (2021). https://doi.org/10.1007/s10389-019-01135-8
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DOI: https://doi.org/10.1007/s10389-019-01135-8