Factors affecting the severity of pedestrian traffic crashes

Authors

1 Occupational Health and Safety Research Center, Hamadan University of Medical Sciences, Hamadan, Iran

2 Clinical Research Development Unit of Besat Hospital, Hamadan University of Medical Sciences, Hamadan, Iran

3 Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran

4 Trauma Research Center, Kashan University of Medical Sciences, Kashan, Iran

5 Community Based Participatory Research Center, Iranian Institute for Reduction of High-Risk Behaviors, Tehran University of Medical Sciences, Tehran, Iran

6 Department of Environmental Health Engineering, Student Research Committee, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran

7 Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran

8 epartment of Public Health, School of Public Health, Social Determinants of Health Research Center, Hamadan University of Medical Sciences, Hamadan, Iran

9 Department of Clinical Psychology, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran

Abstract

Background: Considering the importance of pedestrian traffic crashes and the role of environmental and demographic factors in the severity of these crashes, this article aimed to review the published evidence and synthesize the results of related studies to determine any associations between demographic and environmental factors and the severity of pedestrian-vehicle crashes. Methods: All epidemiological studies published from 1970 to 2019 were searched in international electronic databases (PubMed [Medline], Scopus, Web of Science, Embase, ScienceDirect, and Ovid) and reference lists of the identified articles were also searched. Studies were included if they investigated the severity of pedestrian-vehicle crashes as outcome, measured any environmental and demographic factors for pedestrian-vehicular crashes as exposure, designed observational, and if they were written in all languages. Quality of included studies was evaluated using the strengthening the reporting of observational studies in epidemiology checklist for observational studies. Results: We found 3126 references among which 24 studies were included in this review. All retrieved studies were conducted between 1990 and 2019 and had a cross-sectional design. In most of these studies, the associations between environmental and demographic variables such as vehicle speed or speed limits, pedestrian age, lighting, type of road, type of vehicle, and alcohol intake with the severity of pedestrian traffic crashes were examined. Conclusion: This study showed that few studies were conducted in this area; in fact, most of the studies were carried out in metropolises of developed countries. As a result, studies which provide strong causal inferences by focusing on high-risk groups and a higher level of evidence such as cohort and case-control ones are needed in developing countries.

Keywords

References

1. Aidoo EN, Amoh‑Gyimah R, Ackaah W. The effect of road and environmental characteristics on pedestrian hit‑and‑run accidents in Ghana. Accid Anal Prev 2013;53:23‑7. 
2. World Health Organization. Pedestrian Safety: ARoad Safety Manual for Decision‑Makers and Practitioners. Geneva: World Health Organization Press; 2013. 
3. Mohan D, Tsimhoni O, Sivak M, Flannagan MJ. Road Safety in India: Challenges and Opportunities. The University of Michigan: Transportation Research Institute; 2009. 
4. Zegeer CV, Bushell M. Pedestrian crash trends and potential countermeasures from around the world. Accid Anal Prev 2012;44:3‑11. 
5. Rothman L, Howard AW, Camden A, Macarthur C. Pedestrian crossing location influences injury severity in urban areas. Inj Prev 2012;18:365‑70. 
6. Asiamah G, Mock C, Blantari J. Understanding the knowledge and attitudes of commercial drivers in Ghana regarding alcohol impaired driving. Inj Prev 2002;8:53‑6. 
7. Nantulya VM, Reich MR. The neglected epidemic: Road traffic injuries in developing countries. BMJ 2002;324:1139‑41. 
8. Mock C, Kobusingye O, Anh le V, Afukaar F, Arreola‑Risa C. Human resources for the control of road traffic injury. Bull World Health Organ 2005;83:294‑300. 
9. Mock CN, Gloyd S, Adjei S, Acheampong F, Gish O. Economic consequences of injury and resulting family coping strategies in Ghana. Accid Anal Prev 2003;35:81‑90. 
10. Mabunda MM, Swart LA, Seedat M. Magnitude and categories of pedestrian fatalities in South Africa. Accid Anal Prev 2008;40:586‑93. 
11. Peden M. World Report on Child Injury Prevention. Geneva: World Health Organization Press; 2008. 
12. Pitt R, Guyer B, Hsieh CC, Malek M. The severity of pedestrian injuries in children: An analysis of the pedestrian injury causation study. Accid Anal Prev 1990;22:549‑59. 
13. Zajac SS, Ivan JN. Factors influencing injury severity of motor vehicle‑crossing pedestrian crashes in rural connecticut. Accid Anal Prev 2003;35:369‑79. 
14. Lee C, Abdel‑Aty M. Comprehensive analysis of vehicle – Pedestrian crashes at intersections in Florida. Accid Anal Prev 2005;37:775‑86. 
15. Sciortino S, Vassar M, Radetsky M, Knudson MM. San Francisco pedestrian injury surveillance: Mapping, under‑reporting, and injury severity in police and hospital records. Accid Anal Prev 2005;37:1102‑13. 
16. Clifton KJ, Kreamer‑Fults K. An examination of the environmental attributes associated with pedestrian‑vehicular crashes near public schools. Accid Anal Prev 2007;39:708‑15. 
17. Sze NN, Wong SC. Diagnostic analysis of the logistic model for pedestrian injury severity in traffic crashes. Accid Anal Prev 2007;39:1267‑78. 
18. Eluru N, Bhat CR, Hensher DA. A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. Accid Anal Prev 2008;40:1033‑54. 
19. Kim JK, Ulfarsson GF, Shankar VN, Kim S. Age and pedestrian injury severity in motor‑vehicle crashes: A heteroskedastic logit analysis. Accid Anal Prev 2008;40:1695‑702. 
20. Clifton KJ, Burnier CV, Akar G. Severity of injury resulting from pedestrian–vehicle crashes: What can we learn from examining the built environment? Transp Res D Transp Environ 2009;14:425‑36. 
21. Kim JK, Ulfarsson GF, Shankar VN, Mannering FL. A note on modeling pedestrian‑injury severity in motor‑vehicle crashes with the mixed logit model. Accid Anal Prev 2010;42:1751‑8. 
22. MacLeod KE, Griswold JB, Arnold LS, Ragland DR. Factors associated with hit‑and‑run pedestrian fatalities and driver identification. Accid Anal Prev 2012;45:366‑72. 
23. Mohamed MG, Saunier N, Miranda‑Moreno LF, Ukkusuri SV. A clustering regression approach: A comprehensive injury severity analysis of pedestrian – vehicle crashes in New York, US and Montreal, Canada. Saf Sci 2013;54:27‑37. 
24. Aziz HM, Ukkusuri SV, Hasan S. Exploring the determinants of pedestrian‑vehicle crash severity in new york city. Accid Anal Prev 2013;50:1298‑309. 
25. Zhao H, Yin Z, Yang G, Che X, Xie J, Huang W, et al. Analysis of 121 fatal passenger car‑adult pedestrian accidents in China. J Forensic Leg Med 2014;27:76‑81. 
26. ZhangG, YauKK, ZhangX. Analyzing fault and severity in pedestrian‑motor vehicle accidents in China. Accid Anal Prev 2014;73:141‑50.
27. Sasidharan L, Menéndez M. Partial proportional odds model‑an alternate choice for analyzing pedestrian crash injury severities. Accid Anal Prev 2014;72:330‑40. 
28. Haleem K, Alluri P, Gan A. Analyzing pedestrian crash injury severity at signalized and non‑signalized locations. Accid Anal Prev 2015;81:14‑23. 
29. Pour‑Rouholamin M, Zhou H. Investigating the risk factors associated with pedestrian injury severity in Illinois. J Safety Res 2016;57:9‑17. 
30. Kim M, Kho SY, Kim DK. Hierarchical ordered model for injury severity of pedestrian crashes in South Korea. J Safety Res 2017;61:33‑40. 
31. Xin C, Guo R, Wang Z, Lu Q, Lin P, Amiar SJ. The effects of neighborhood characteristics and the built environment on pedestrian injury severity: A random parameters generalized ordered probability model with heterogeneity in means and variances. Anal Methods Accid Res 2017;16:117‑32. 
32. Uddin M, Ahmed FJ. Pedestrian injury severity analysis in motor vehicle crashes in Ohio. Safety 2018;4:20. 
33. Moradi A, Soori H, Kavosi A, Eshghabadi F, Hashemi Nazari SS, et al. Human factors influencing the severity of traffic accidents related to pedestrians in Tehran. Iran Occup Health 2018;15:55‑64. 
34. Sun M, Sun X, Shan D. Pedestrian crash analysis with latent class clustering method. Accid Anal Prev 2019;124:50‑7. 
35. D’Sousa E, Forsyth A, Koepp J, Larson N, Lytle L, Mishra N, et al. NEAT‑GIS protocols: Neighborhood environment for active transport. Version 5.1. Geogr Inf Syst 2012;196‑7. 
36. Naci H, Chisholm D, Baker TD. Distribution of road traffic deaths by road user group: A global comparison. Inj Prev 2009;15:55‑9. 
37. World Health Organization. Global Status Report on Road Safety: Supporting a Decade of Action. Geneva: World Health Organization; 2013. 
38. World Health Organization. Global Status Report on Road Safety: Time for Action. Geneva: World Health Organization Press; 2009. 
39. Hasselberg M, Laflamme L, Weitoft GR. Socioeconomic differences in road traffic injuries during childhood and youth: Acloser look at different kinds of road user. J Epidemiol Community Health 2001;55:858‑62. 
40. Zambon F, Hasselberg M. Socioeconomic differences and motorcycle injuries: Age at risk and injury severity among young drivers. A Swedish nationwide cohort study. Accid Anal Prev 2006;38:1183‑9. 
41. Licaj I, Haddak M, Pochet P, Chiron M. Contextual deprivation, daily travel and road traffic injuries among the young in the Rhône département (France). Accid Anal Prev 2011;43:1617‑23. 
42. Laflamme L, Engström K. Socioeconomic differences in Swedish children and adolescents injured in road traffic incidents: Cross sectional study. BMJ 2002;324:396‑7. 
43. Laflamme L, Diderichsen F. Social differences in traffic injury risks in childhood and youth – A literature review and a research agenda. Inj Prev 2000;6:293‑8. 
44. Morency P, Gauvin L, Plante C, Fournier M, Morency C. Neighborhood social inequalities in road traffic injuries: The influence of traffic volume and road design. Am J Public Health 2012;102:1112‑9. 
45. Laflamme L, Hasselberg M, ReimersAM, Cavalini LT, Ponce de LeonA. Social determinants of child and adolescent traffic‑related and intentional injuries: A multilevel study in Stockholm county. Soc Sci Med 2009;68:1826‑34. 
46. Kröyer HR. Is 30km/ha ‘safe’speed? Injury severity of pedestrians struck by a vehicle and the relation to travel speed and age. IATSS Res 2014;39:42-50. 
47. Liu YC, Tung YC. Risk analysis of pedestrians’ road‑crossing decisions: Effects of age, time gap, time of day, and vehicle speed. Saf Sci 2014;63:77‑82. 
48. Tefft BC. Impact speed and a pedestrian’s risk of severe injury or death. Accid Anal Prev 2013;50:871‑8. 
49. Rosén E, Stigson H, Sander U. Literature review of pedestrian fatality risk as a function of car impact speed. Accid Anal Prev 2011;43:25‑33. 
50. Kröyer HR. The relation between speed environment, age and injury outcome for bicyclists struck by a motorized vehicle – A comparison with pedestrians. Accid Anal Prev 2015;76:57‑63. 
51. World Health Organization. Youth and Road Safety. Geneva:: World Health Organization Press; 2007. 
52. Elias W, Shiftan Y. Analyzing and modeling risk exposure of pedestrian children to involvement in car crashes. Accid Anal Prev 2014;62:397‑405.

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History

  • Receive Date: 09 November 2020
  • Accept Date: 09 November 2020

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