Traffic Accidents in Iraq:An analytical study
Keywords:
Traffic accidents,Road safety,injuries rate, fatality rateAbstract
Traffic accidents in Iraq with great seriousness and comparable with the current terrorism operations, it has been considerably menaced the life of the Iraqi society. It has become one of the problems that drain the material resources and causes social problems and loss of human energies, that are considered the main element of the society. Traffic accidents have long been recognized as an iceberg for comprehending the discrepancies of traffic accidents and entire transportation systems. Besides, there is an insufficiency of experts of highway safety, and real experience is limited to few experts in Iraq. There is also a lack in the distribution of those experts and deficiency in the professional staff of highway safety. Data on fatal injuries caused by traffic accidents was covered by the author of this study during (2005-2011) for the fifteen governorates in Iraq, Data on number of traffic accidents per governorate was obtained from the General Traffic Directorate with cooperation Ministry of Planning/ the Central Statistical Organization (CSO) with coordination with the Ministry of Interior in Iraq. Traffic accidents analysis was performed based on the number of factors like gender and age of the driver, light condition, type of accident and status of the road. Reasons for traffic accident were also illuminated based on the driver, the road, the passenger, and the pedestrians so as to verify the cause and effect of traffic accidents in Iraq. Results showed that the distribution of traffic accidents deaths and injuries in Iraq varied according to age, gender, month and time. Overall, traffic accidents were dramatically increased from 2005 to 2011. Moreover, road accidents are relatively higher in extreme weather during working hours. Analysis of road traffic accidents based on light condition showed that the accidents rate was significantly decreased in the night. Collision accidents recorded highest results in Baghdad and Babil city. However, results were slightly approximated for the rest of the cities. Ratios for the car coup gave higher magnitudes in Al- Qadissiya, Baghdad, Babil, and Basrah city for the wetted road. It indicates the absence of security precautions especially during rainy days hence vehicles will be slipped accordingly. It was observed that the highest accidents ratio was attributed to the driver and it was 36% for Baghdad city and number of accidents was 2379. Whilst Nineveh city registered fewer accidents ratio with 22% and a number of the accident was 586. Result for traffic accidents based on the type of the vehicle indicated that saloon vehicle resulted in higher rate of traffic accidents up to 26.3%. Baghdad city was higher than the other cities, a number of accidents in Baghdad were 1234 while the number of accidents was significantly decreased to 425 in Al-Anbar city.
References
2. World Health Organization (WHO). Decade for action for road safety 2011-2020: global lunch. Available from internet: <http://www.who.int/roadsafety/ publications/decade_launch/en/>.
3. World Health Organization. Global status report on road safety: supporting a decade of action. Geneva: World Health Organization 2015.
4. Guangnan Zhanga, Kelvin K.W. Yaub, Guanghan Chen.Risk factors associated with traffic violations and accident severity in China. Accident Analysis and Prevention 2013, 59, 18–25.
5. Al-Ghamdi, A.S.Using logistic regression to estimate the influence of accident factors on accident severity. Accident Analysis and Prevention 2002 34, 729–741.
6. Peden, M., Scurfield, R., Sleet, D., Mohan, D., Hyder, A., Jarawan, E., Mathers, C. World report on road traffic injury prevention. World Health Organization. Geneva 2004.
7. Mohan, D., Tiwari, G., Khayesi, M., Nafukho, F. Road traffic injury prevention training manual. World Health Organization Geneva 2006.
8. Awadzi, K.D., Classen, S., Hall, A., Duncan, R.P., Garvan, C.W. Predictors of injury among younger and older adults in fatal motor vehicle crashes. Accident Analysis. Prevention, 2008, 40 (6), 1804–1810.
9. Yamamoto, T., Hashiji, J., Shankar, V.N. Underreporting in traffic accident data, bias in parameters and the structure of injury severity models. Accident Analysis. Prevention, 2008, 40 (4), 1320–1329.
10. Central Statistical Organization (CSO) 2011. Statistics of private sector motorcars registered at the general directorate of traffic. Available from internet: <http:// www.cosit.gov.iq/en/trans-comm-statistics>.
11. Coalition Provisional Authority (CPA). 2004. Iraqi Traffic Code (Traffic Law), Order No. 86. Available from internet: http://www.iraqcoalition.org/regulations/.
12. Ministry of Planning. 2010. National Development Plan 2010-2014. Available from internet: http://iq.one. un.org/documents/83/NDP%20English.pdf .
13. U.S. Department of Transportation, 2006, National Highway Traffic Safety Administration (NHTSA), National Centre for Statistics and Analysis Databases, http://www.nhtsa.dot.gov/,Statistics.
14. Consolidated Consultants (CC), 2013, feasibility study for rehabilitation and upgrading the expressway No.1, Ministry of Construction and Housing, Republic of Iraq.
15. Central Statistical Organization (CSO) 2010. Statistics of private sector motorcars registered at the general directorate of traffic. Available from internet: <http:// www.cosit.gov.iq/en/trans-comm-statistics>.
16. Depaire, B., Wets, G., Vanhoof, . Traffic accident segmentation by means of latent class clustering. Accident Analysis. Prevention, 2008, 40 (4), 1257–1266.
17. Sambit Kumar Beura, Prasanta Kumar Bhuyan. Development of a bicycle level of service model for urban street segments in mid-sized cities carrying heterogeneous traffic: A functional networks approach. Journal and Transportation Engineering 2017, 4(6), 503 -521
18. Bijleveld, F., Churchill, T. The influence of weather conditions on road safety. SWOV Institute for Road Safety Research, Leidschendam, the Netherlands; SWOV Publication R-2009-9: 1-49. (available at http:// www.swov.nl/rapport/R-2009-09.pdf ).
19. Baratian-Ghorghi, F., Zhou, H., Shaw, J. Overview of wrong way driving fatal crashes in the United States. ITE Journal 2014, 84 (8), 41-47.
20. Baratian-Ghorghi, F., Zhou, H., Jalayer. Prediction of potential wrong-way entries at exit ramps of signalized
partial cloverleaf interchanges. Traffic Injury Prevention, 2015, 16 (6), 599-604.
21. Vingilis, E., Wilk, P. The effects of health status, distress, alcohol and medical drug use on subsequent motor vehicle injuries. Accident Analysis. Prevention, 2008, 40 (6), 1901–1907.
22. Yau, K. Risk factors affecting the severity of single vehicle traffic accidents in Hong Kong. Accident Analysis. Prevention, 2004, 36 (3), 333–340.
23. Wong, J.-T., Chung, Y.-S., 2008. Analysing heterogeneous accident data from the perspective of accident occurrence. Accident Analysis. Prevention, 2004, 40 (1), 357–367.
24. Ulfarsson, G., Mannering, F., 2004. Difference in male and female injury severities in sport-utility vehicle, minivan, pickup and passenger car accidents. Accident Analysis. Prevention. 36 (2), 135–147.
25. Eluru, N., Bhat, C.R., Hensher, D.A., 2008. A mixed generalized ordered response model for examining pedestrian and bicyclist injury severity level in traffic crashes. Accident Analysis. Prevention. 40 (3), 1033– 1054.