Investigating the Status of Inter-Sectoral Cooperation in the Prevention of Traffic Accidents in Selected Countries and Iran: A Comparative Study
Irtiqa Imini Pishgiri Masdumiyat (Safety Promotion and Injury Prevention),
Vol. 12 No. 3 (1403),
1 November 2025
,
Page 149 - 140
https://doi.org/10.22037/iipm.v12i3.42946
Abstract
Background and Aim: Different organizations are involved in each level of traffic accident prevention. The more these organizations cooperate with each other, the more effective and useful the prevention of traffic accidents will be across various levels. Therefore, this research was conducted with the aim of investigating the status of inter-sectoral cooperation in the prevention of traffic accidents in selected countries and Iran.
Materials and Methods: This research is a comparative study that was conducted in 1401. In this study, sampling was purposeful. The countries compared in the study include Egypt, Turkey, the United States, Australia, Sweden, England, Norway, Denmark, and Iran. These countries were selected based on their successful experiences and positive indicators in the field of research. Valid databases and other related sources were used to collect data. In this study, the findings were compared using a comparative table.
Results: The research findings indicated that the number of traffic accidents among men is higher than among women. Additionally, the incidence of these accidents is highest in Iran and lowest in Norway. The results also showed that organizations and institutions such as Roads and Urban Development, Education, Ministry of Health, Treatment and Medical Education, Ministry of Interior, Broadcasting, Traffic Police, Economy and Finance, and Ministry of Welfare play a crucial role before, during, and after accidents.
Conclusion: Based on the research findings, it is recommended to develop and implement an integrated model of inter-departmental cooperation to prevent and manage traffic accidents, aiming to decrease casualties and enhance road safety in Iran.
Please cite this article as:
Rezaei H, Mahfoozpour S, Hesam S, Masoodi Asl E. Investigating the Status of Inter-Sectoral Cooperation in the Prevention of
Traffic Accidents in Selected Countries and Iran: A Comparative Study. Irtiqa Imini Pishgiri Masdumiyat. 2024: Vol 12: No 3: 140-
149. https://doi.org/10.22037/iipm.v1403i12.42946
- interdepartmental cooperation, traffic accidents, prevention
How to Cite
References
1. Tay R, Choi J, Kattan L, Khan A. A multinomial logit model of pedestrian–vehicle crash severity. International journal of sustainable transportation. 2011;5(4):233-49.
2. Kashani AT, Rabieyan R, Besharati MM. A data mining approach to investigate the factors influencing the crash severity of motorcycle pillion passengers. Journal of safety research. 2014;51:93-8.
3. Zeng Q, Gu W, Zhang X, Wen H, Lee J, Hao W. Analyzing freeway crash severity using a Bayesian spatial generalized ordered logit model with conditional autoregressive priors. Accident Analysis & Prevention. 2019;127:87-95.
4. Dai W, Liu A, Kaminga AC, Deng J, Lai Z, Yang J, et al. Prevalence of acute stress disorder among road traffic accident survivors: a meta-analysis. BMC psychiatry. 2018;18(1):1-11.
5. Rasool FAA, Alekri FA, Nabi HA, Naiser MJ, Shamlooh NM, Alnashaba SA, et al. Prevalence and behavioral risk factors associated with road traffic accidents among medical students of Arabian Gulf University in Bahrain. International journal of medical science and public health. 2015;4(7):933-8.
6. Soltani G, Ahmadi B, Pourreza A, Rahimi A. Investigating Prevalence of deaths from Traffic Accidents and Factors Associated with it in Yazd in 2009. SSU_Journals. 2014;21(6):831-9.
7. Ye F, Lord D. Comparing three commonly used crash severity models on sample size requirements: Multinomial logit, ordered probit and mixed logit models. Analytic methods in accident research. 2014;1:72-85.
8. Khatib M, Gaidhane A, Quazi Z, Khatib N. Prevalence pattern of road traffic accidents in developing countries: a systematic review. International Journal of Medical Science and Public Health. 2015;4(10):1324-33.
9. WHO. Global status report on road safety.Time For Action. Tranlated by Hamid Soori and his colleagues. World health Organization; 2011.
10. Hossein Zadeh K SR, Daliri S. Estimation of Burden and Caused by Traffic Accidents. Journal of Safety Promotion and Injury Prevention. 2016;4(4).
11. Movaghar. TRAUMA Explanation,Management and Research. Tabriz University of Medical Sciences: Tabriz University of Medical Sciences; 2016.
12. Peden M, Scurfield R, Sleet D, Mathers C, Jarawan E, Hyder A, et al. World report on road traffic injury prevention: World Health Organization; 2004.
13. Racioppi F, Eriksson L, Tingvall C, Villaveces A. Preventing road traffic injury: a public health perspective for Europe. 2004. WHO Regional Office for Europe: Copenhagen. 2004.
14. WorldBank. available in; https://data.worldbank.org/indicator/SH.STA.TRAF.P5.
15. Abas Ali S. Traffic Accidents in Egypt-2 Factors Affect on Traffic Accidents in Egypt (Human–Place–Time). JES Journal of Engineering Sciences. 2008;36(2):483-505.
16. ABO ELNAGA IM. MODELING OF TRAFFIC ACCIDENTS CAUSES AT RURAL HIGHWAYS IN EGYPT. ERJ Engineering Research Journal. 2012;35(4):403-15.
17. Abbas KA. Traffic safety assessment and development of predictive models for accidents on rural roads in Egypt. Accident Analysis & Prevention. 2004;36(2):149-63.
18. Hritan EH, Vanna-iampikul P. The impacts of air pollution on traffic accidents across the United States. Available at SSRN 4039404. 2022.
19. Araiza Iturria CA, Hardy M, Marriott P. A Consolidated Database of Police-Reported Motor Vehicle Traffic Accidents in the United States for Actuarial Applications. Available at SSRN 3977693. 2021.
20. Cryer C, Langley JD, Jarvis SN, Mackenzie SG, Stephenson S, Heywood P. Injury outcome indicators: the development of a validation tool. Injury Prevention. 2005;11(1):53-7.
21. Lydon M, Woolley J, Small M, Harrison J, Bailey T, Searson D, et al. Review of the national road safety strategy. Austroads Research Report AP-R477-15. Accessed 24 March at https://goo. gl …; 2015. Report No.: 1925294064.
22. Schelp L, Svanström L. The Swedish National Safety Promotion Program. Injury Prevention. 1996;2(3):237.
23. Sheikh MM. Statistical Modelling of Road Traffic KSI Car Accidents in England (STATS19). International Journal of Mathematics and Statistics Studies. 2022;10(4):14-47.
24. Pasidis I-N. Congestion by accident? Traffic and accidents in England. 2015.
25. Lund J, Aarø LE. Accident prevention. Presentation of a model placing emphasis on human, structural and cultural factors. Safety science. 2004;42(4):271-324.
26. Green C, Krehic L. An extra hour wasted? Bar closing hours and traffic accidents in Norway. Health economics. 2022;31(8):1752-69.
27. Petersen JD, Siersma VD, Depont Christensen R, Storsveen MM, Nielsen CT, Vass M, et al. Dementia and road traffic accidents among non-institutionalized older people in Denmark: A Danish register-based nested case-control study. Scandinavian journal of public health. 2019;47(2):221-8.
28. Berger J, Elbrond B, Lassota N, Kjellberg J, Ibsen R, Rungby J. PDB90-ASSOCIATION BETWEEN SULFONYLUREA (SU) TREATMENT AND TRAFFIC ACCIDENTS IN DENMARK. Value in Health. 2018;21:S134.
29. Reza RH. An overview of the responsibilities and duties of the organizations involved in Teaching the country's traffic safety and order culture. Traffic Management Studies. 2011;20(1):15-35 [In Persian].
30. Azami-Aghdash S, Sadeghi-Bazarghani H, Rezapour R, Heydari M, Derakhshani N. Comparative study of stewardship of road traffic injuries prevention with a focus on the role of health system; three pioneer countries and three similar to Iran. Bulletin of Emergency & Trauma. 2019;7(3):212.
31. Moh. Ministry of Health, Treatment and Medical Education, Non-Communicable Diseases Management Office, Accident Prevention Department; Guidelines for the National Safe Society Program. 2018.
32. Mohammadian M, Afshari M, Khazaie S, Salehiniya H, Mohammadian Hafshejani A. An epidemiologic study of traffic accidents on Iran drivers in 2013. Journal of Rescue Relief. 2015;7(1):1-10 [In Persian].
33. Sadeghian F., Khosravi A., Emamian MH., Younesian R. The pattern of road traffic injuries and related factors in Shahrood, Iran. Payesh (Health Monitor) Journal. 2008;7(3):1-10 [In Persian].
34. Moradi A, Soori H, Kavosi A, Eshghabadi F, Hashemi Nazari SS, Rahmani K. Human factors influencing the severity of traffic accidents related to pedestrians in Tehran. Iran Occupational Health Journal. 2018;15(3):55-65 [In Persian].
35. Karbakhsh M, Rostami Gooran N, Zargar M. Factors influencing the severity of injuries in motor vehicle crashes. Payesh (Health Monitor) Journal. 2004;3(4):273-8 [In Persian].
36. Akhvast Hamideh KM. The role of organizations in preventing traffic-based accidents The intellectual system of the Supreme Leader (Modzaleh Al-Aali). Kerman Law Enforcement Quarterly. 2019;10(27):128-11.
37. Sad Amarji M RA. Presenting the model of interactions between organizations in the management of road relief. The 11th Iran Transportation and Traffic Engineering Conference: undefined; 2011; 12(8):10-18 [In Persian].
38. Kondratiev V, Shikin V, Grishin V, Orlov S, Klyavin V, Yurasova E, et al. Intersectoral action to improve road safety in two regions of the Russian Federation. Public health panorama. 2015;1(02):192-7.
39. Reza RH. A review of the responsibilities and duties of the organizations involved in teaching the culture of traffic order and safety in the country. Traffic Studies Management Quarterly. 2011;20(20):48-25.
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