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First published online January 1, 2014

Analysis of Traffic Injury Severity in Dhaka, Bangladesh

Abstract

This research identifies roadway, traffic, and environmental factors that influence the injury severity of road traffic crashes in Dhaka, Bangladesh. Dhaka provides a rather unusual driving-risk environment to study because virtually anyone in Dhaka can obtain a driver's license, traffic enforcement is lax, and few fines are given when drivers violate traffic rules. To examine this city with presumed heightened crash severity risk, the authors collected police-reported crash data from 2007 to 2011 containing about 2,714 road traffic crashes. The injury severity of traffic crashes—recorded as fatal injury, serious injury, or property damage only—was modeled with an ordered probit model. Significant factors increasing the probability of fatal injuries included crashes along highways (65%), absence of a road divider (80%), crashes during night time (54%), and vehicle–pedestrian collisions (367%); two-way traffic configuration (21%) and traffic police–controlled schemes (41%) decreased the probability of fatalities. Both similarities and differences of the findings between crash risk in Dhaka and that in developed countries are discussed in policy-relevant terms.

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References

1. Huda F., Sah D., and Sharma S. B. Impact of Driver Characteristics on the Severity of Injuries and Final Outcome of Four-Wheeler Auto mobile Accident Victims. Internet Journal of Surgery, Vol. 22, No. 2, 2010.
2. World Report on Road Traffic Injury Prevention. World Health Organization, Geneva, 2004.
3. Agrawal A. Fatal Road Traffic Cranio-Cerebral Injuries: Time to Act and Need to Study. The Indian Journal of Neurotrauma, Vol. 9, No. 2, 2012, pp. 156–157.
4. Oginni F. O., Ajike S. O., Obuekwe O. N., and Fasola O. A Prospective Multicenter Study of Injury Profile, Severity and Risk Factors in 221 Motorcycle-Injured Nigerian Maxillofacial Patients. Traffic Injury Prevention, Vol. 10, No. 1, 2009, pp. 70–75.
5. Fatmi Z., Hadden W., Razzak J., Qureshi H., Hyder A., and Pappas G. Incidence, Patterns and Severity of Reported Unintentional Injuries in Pakistan for Persons Five Years and Older: Results of the National Health Survey of Pakistan, 1990–94. BMC Public Health, Vol. 7, 2007, p. 152.
6. Quddus M. A., Noland R. B., and Chin H. C. An Analysis of Motorcycle Injury and Vehicle Damage Severity Using Ordered Probit Models. Journal of Safety Research, Vol. 33, No. 2002, pp. 445–462.
7. Rahman F., Andersson R., and Svanström L. Health Impact of Injuries: A Population-Based Epidemiological Investigation in a Local Community of Bangladesh. Journal of Safety Research, Vol. 29, No. 4, 1998, pp. 213–222.
8. Li M. D., Doong J. L., Chang K. K., Lu T. H., and Jeng M. C. Differences in Urban and Rural Accident Characteristics and Medical Service Utilization for Traffic Fatalities in Less-Motorized Societies. Journal of Safety Research, Vol. 39, No. 6, 2008, pp. 623–630.
9. Status Paper on Road Safety Problems in Bangladesh: The Bangladesh Country Paper. United Nations Economic and Social Commission for Asia and the Pacific, Bangkok, Thailand, 2007.
10. Ahsan H. M. Road Safety in Bangladesh: Key Issues and Counter-measures. Forum, monthly publication of Daily Star, Vol. 6, No. 7, July 2012.
11. Al-Mahmood S. Z. Death on the Asphalt. Star Weekend, Daily Star, 2007.
12. Ministry of Environment and Forests and Ministry of Communication. Developments in EST in Bangladesh. Presented at 5th Regional Environmentally Sustainable Transport (EST) Forum in Asia, Bangkok, Thailand, 2010.
13. Stephan K., Kelly M., McClure R., Seubsman S.-A., Yiengprugsawan V., Bain C., and Sleigh A. Distribution of Transport Injury and Related Risk Behaviours in a Large National Cohort of Thai Adults. Accident Analysis and Prevention, Vol. 43, No. 3, 2011, pp. 1062–1067.
14. Conrad P., Bradshaw Y. S., Lamsudin R., Kasniyah N., and Costello C. Helmets, Injuries and Cultural Definitions: Motorcycle Injury in Urban Indonesia. Accident Analysis and Prevention, Vol. 28, No. 2, 1996, pp. 193–200.
15. Adesunkanmi A. R. K., Oginni L. M., Oyelami O. A., and Badru O. S. Road Traffic Accidents to African Children: Assessment of Severity Using the Injury Severity Score (ISS). Injury, Vol. 31, No. 4, 2000, pp. 225–228.
16. Schmucker U., Dandona R., Kumar G. A., and Dandona L. Crashes Involving Motorised Rickshaws in Urban India: Characteristics and Injury Patterns. Injury, Vol. 42, No. 1, 2011, pp. 104–111.
17. Dandona R., Kumar G. A., Ameratunga S., and Dandona L. Road Use Pattern and Risk Factors for Non-Fatal Road Traffic Injuries Among Children in Urban India. Injury, Vol. 42, No. 1, 2011, pp. 97–103.
18. Zargar M., Roudsari B. S., Shadman M., Kaviani A., and Tarighi P. Pediatric Transport Related Injuries in Tehran: The Necessity of Implementation of Injury Prevention Protocols. Injury, Vol. 34, No. 11, 2003, pp. 820–824.
19. AlEassa E., Eid H., and Abu-Zidan F. Effects of Vehicle Size on Pedestrian Injury Pattern and Severity: Prospective Study. World Journal of Surgery, Vol. 37, No. 1, 2013, pp. 136–140.
20. Barua U., and Tay R. Severity of Urban Transit Bus Crashes in Bangladesh. Journal of Advanced Transportation, Vol. 44, No. 1, 2010, pp. 34–41.
21. Eluru N., Bhat C. R., and Hensher D. A. A Mixed Generalized Ordered Response Model for Examining Pedestrian and Bicyclist Injury Severity Level in Traffic Crashes. Accident Analysis and Prevention, Vol. 40, No. 3, 2008, pp. 1033–1054.
22. Lee C., and Abdel-Aty M. Comprehensive Analysis of Vehicle–Pedestrian Crashes at Intersections in Florida. Accident Analysis and Prevention, Vol. 37, No. 4, 2005, pp. 775–786.
23. Klop J. R., and Khattak A. J. Factors Influencing Bicycle Crash Severity on Two-Lane, Undivided Roadways in North Carolina. In Transportation Research Record: Journal of the Transportation Research Board, No. 1674, TRB, National Research Council, Washington, D.C., 1999, pp. 78–85.
24. Kim J. K., Kim S., Ulfarsson G. F., and Porrello L. A. Bicyclist Injury Severities in Bicycle–Motor Vehicle Accidents. Accident Analysis and Prevention, Vol. 39, No. 2, 2007, pp. 238–251.
25. Zajac S. S., and Ivan J. N. Factors Influencing Injury Severity of Motor Vehicle Crossing Pedestrian Crashes in Rural Connecticut. Accident Analysis and Prevention, Vol. 35, No. 3, 2003, pp. 369–379.
26. Miles-Doan R. Alcohol Use Among Pedestrians and the Odds of Surviving an Injury: Evidence from Florida Law Enforcement Data. Accident Analysis and Prevention, Vol. 28, No. 1, 1996, pp. 23–31.
27. Sze N. N., and Wong S. C. Diagnostic Analysis of the Logistic Model for Pedestrian Injury Severity in Traffic Crashes. Accident Analysis and Prevention, Vol. 39, No. 6, 2007, pp. 1267–1278.
28. Pitt R., Guyer B., Hsieh C., and Malek M. The Severity of Pedestrian Injuries in Children: An Analysis of the Pedestrian Injury Causation Study. Accident Analysis and Prevention, Vol. 22, No. 6, 1990, pp. 549–559.
29. Zhu X., and Srinivasan S. Modeling Occupant-Level Injury Severity: An Application to Large-Truck Crashes. Accident Analysis and Prevention, Vol. 43, No. 4, 2011, pp. 1427–1437.
30. Kaplan S., and Prato C. G. Risk Factors Associated with Bus Accident Severity in the United States: A Generalized Ordered Logit Model. Journal of Safety Research, Vol. 43, No. 3, 2012, pp. 171–180.
31. Morgan A., and Mannering F. L. The Effects of Road-Surface Conditions, Age, and Gender on Driver-Injury Severities. Accident Analysis and Prevention, Vol. 43, No. 5, 2011, pp. 1852–1863.
32. Renski H., Khattak A. J., and Council F. M. Effect of Speed Limit Increases on Crash Injury Severity: Analysis of Single-Vehicle Crashes on North Carolina Interstate Highways. In Transportation Research Record: Journal of the Transportation Research Board, No. 1665, TRB, National Research Council, Washington, D.C., 1999, pp. 100–108.
33. Shankar V., Mannering F., and Barfield W. Statistical Analysis of Accident Severity on Rural Freeways. Accident Analysis and Prevention, Vol. 28, No. 3, 1996, pp. 391–401.
34. Lu J., Pirinccioglu F., and Pernia J. Safety Evaluation of Right-Turns followed by U-turns at Signalized Intersection (Six or More Lanes) as an Alternative to Direct Left Turns: Conflict Data Analysis. Florida Department of Transportation, Tallahassee, 2004.
35. Obeng K. Injury Severity, Vehicle Safety Features, and Intersection Crashes. Traffic Injury Prevention, Vol. 9, No. 3, 2008, pp. 268–276.
36. Mujalli R. O., and de Oña J. A Method for Simplifying the Analysis of Traffic Accidents Injury Severity on Two-Lane Highways Using Bayesian Networks. Journal of Safety Research, Vol. 42, No. 5, 2011, pp. 317–326.
37. Holubowycz O. T. Age, Sex, and Blood Alcohol Concentration of Killed and Injured Pedestrians. Accident Analysis and Prevention, Vol. 27, No. 3, 1995, pp. 417–422.
38. Stone M., and Broughton J. Getting Off Your Bike: Cycling Accidents in Great Britain in 1990–1999. Accident Analysis and Prevention, Vol. 35, No. 4, 2003, pp. 549–556.
39. Abdel-Aty M. Analysis of Driver Injury Severity Levels at Multiple Locations Using Ordered Probit Models. Journal of Safety Research, Vol. 34, No. 5, 2003, pp. 597–603.
40. Savolainen P., and Mannering F. Probabilistic Models of Motorcyclists’ Injury Severities in Single- and Multi-Vehicle Crashes. Accident Analysis and Prevention, Vol. 39, No. 5, 2007, pp. 955–963.
41. Delen D., Sharda R., and Bessonov M. Identifying Significant Predictors of Injury Severity in Traffic Accidents Using a Series of Artificial Neural Networks. Accident Analysis and Prevention, Vol. 38, No. 3, 2006, pp. 434–444.
42. Jehle D., and Cottington E. Effect of Alcohol Consumption on Outcome of Pedestrian Victims. Annals of Emergency Medicine, Vol. 17, 1988, pp. 953–956.
43. Osler T., Rutledge R., Deis J., and Bedrick E. ICSS: An International Classification of Disease-9 Based Injury Severity Score. Journal of Trauma, Vol. 41, No., 1996, pp. 380–387.
44. Ballesteros M. F., Dischinger P. C., and Langenberg P. Pedestrian Injuries and Vehicle Type in Maryland, 1995–1999. Accident Analysis and Prevention, Vol. 36, No. 1, 2003, pp. 73–81.
45. Roudsari B. S., Mock C. N., Kaufman R., Grossman D., Henary B. Y., and Crandall J. Pedestrian Crashes: Higher Injury Severity and Mortality Rate for Light Truck Vehicles Compared with Passenger Vehicles. Injury Prevention, Vol. 10, 2004, pp. 154–158.
46. Long J. S., and Freese J. Regression Models for Categorical Dependent Variables Using Stata. Stata Press, College Station, Texas, 2003.
47. Kim J.-K., Ulfarsson G. F., Shankar V. N., and Kim S. Age and Pedestrian Injury Severity in Motor-Vehicle Crashes: A Heteroskedastic Logit Analysis. Accident Analysis and Prevention, Vol. 40, No. 5, 2008, pp. 1695–1702.
48. Education not Must for Drivers. Daily Star, Aug. 19, 2011. http://archive.thedailystar.net/newDesign/news-details.php?nid=199288. Accessed July 16, 2013.
49. No Driving Licence Without Test. Daily Star, Aug. 26, 2011. http://archive.thedailystar.net/newDesign/news-details.php?nid=200275. Accessed July 16, 2013.
50. Ahsan S. B. Killers Are not Killers! Daily Star, Oct. 26, 2011. http://archive.thedailystar.net/newDesign/news-details.php?nid=207989. Accessed July 16, 2013.
51. Rahman M. Guilty yet Get off Scot-Free. Daily Star, Dec. 5, 2010. http://archive.thedailystar.net/newDesign/news-details.php?nid=164837. Accessed July 16, 2013.
52. Islam S., and Rahman M. Highways Unsafe for Poor Policing: Chaotic Vehicular Movement, Reckless Driving Causing Frequent Accidents. Daily Star, Nov. 21, 2010. http://archive.thedailystar.net/newDesign/news-details.php?nid=163049. Accessed July 15, 2013.
53. Begum B. A., Biswas S. K., and Hopke P. K. Key Issues in Controlling Air Pollutants in Dhaka, Bangladesh. Atmospheric Environment, Vol. 45, No. 40, 2011, pp. 7705–7713.
54. Rifaat S. M., Tay R., and de Barros A. Effect of Street Pattern on the Severity of Crashes Involving Vulnerable Road Users. Accident Analysis and Prevention, Vol. 43, No. 1, 2011, pp. 276–283.
55. Clifton K. J., Burnier C. V., and Akar G. Severity of Injury Resulting from Pedestrian–Vehicle Crashes: What Can We Learn from Examining the Built Environment? Transportation Research Part D: Transport and Environment, Vol. 14, No. 6, 2009, pp. 425–436.
56. Haleem K., and Gan A. Identifying Traditional and Nontraditional Predictors of Crash Injury Severity on Major Urban Roadways. Traffic Injury Prevention, Vol. 12, No. 3, 2011, pp. 223–234.
57. Indian City Uses Cardboard Cops to Enforce Road Rules. Courier Mail, March 26, 2013. http://www.couriermail.com.au/news/world/indian-city-uses-cardboard-cops-to-enforce-road-rules/story-fnd12peo-1226605918640. Accessed July 5, 2013.

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Article first published online: January 1, 2014
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M. Kamruzzaman
School of Civil Engineering and the Built Environment, Queensland University of Technology, 2 George Street, Brisbane 4000, Queensland, Australia.
M. Mazharul Haque
School of Civil Engineering and the Built Environment, Queensland University of Technology, 2 George Street, Brisbane 4000, Queensland, Australia.
Simon Washington
School of Civil Engineering and the Built Environment, Queensland University of Technology, 2 George Street, Brisbane 4000, Queensland, Australia.

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