Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia
Science Journal of Applied Mathematics and Statistics
Volume 5, Issue 6, December 2017, Pages: 210-215
Received: Aug. 29, 2017; Accepted: Sep. 14, 2017; Published: Dec. 7, 2017
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Tesfahun Zewde, Statistics Department, Arba Minch University, Arba Minch, Ethiopia
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This study attempted to assess the factors that lead drivers into traffic accidents at Arba Minch City. 200 drivers were selected using stratified random sampling method and the data have been collected using structured questioners. From sampled drivers 62% of the drivers were involved in one or more accidents. Poisson regression model was the appropriate one compared to the negative binomial regression model for the data. From Poisson regression analysis variables like driver experience, driving after alcohol use, having more licenses, speedy driving, and number of punishments were the causes that lead drivers into traffic accidents in the study area. Road safety professionals should target these factors in their efforts to reduce the occurrence of traffic accidents.
Drivers, Traffic Accidents, Poisson Regression Model
To cite this article
Tesfahun Zewde, Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia, Science Journal of Applied Mathematics and Statistics. Vol. 5, No. 6, 2017, pp. 210-215. doi: 10.11648/j.sjams.20170506.13
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WHO, 2015: Global status report on road safety 2015.
Lagarde E: Road traffic injury is an escalating burden in Africa and deserves proportionate research efforts. PLos Medicine 2007, 4: 0967-0971.
Federal Democratic Republic of Ethiopia: Police Commission Report 2014.
Peden M, Scurfield R, Sleet D: World report on road traffic injury prevention 2004.
Finch J, Kompfner P, Lockwood R, Maycock G: Speed limits and accidents Transport Research Laboratory; 1994.
Waller F, Stewart J, Hansen A: The potentiating effects of alcohol on driver injury. J Am Med Assoc 1996, 255: 522-527.
US department of transportation: Traffic Safety Facts Washington, DC; 2009.
Washington SP, Karlaftis MG, Mannering FL (2003) Statistical and econometric methods for transportation data analysis. Chapman Hall/CRC, Boca Raton, FL.
Bauer, K. et al (2007): Statistical Models Of Accidents On Interchange Ramps And Speed- Change Lanes. U. S. DOT FHWA. Turner-Fairbanks Highway Research Center. Retrieved December 8, 2006 from the World Wide Web safety/pubs/97106/index.htm
N. Ismail, H. Zamani, Estimation of Claim Count Data using Negative Binomial, Generalized Poisson, Zero Inflated Negative Binomial and Zero-Inflated Generalized Poisson Regression Models. Casualty Actuarial Society E Forum. (Spring 2013).
Deus DK: Risk Factors and Road Traffic Accidents in Tanzania: A Case Study of Kibaha District facultate for sunfunnsvitenskap Og teknologiledelse; 2006.
Qirjako G, Burazeri G, Hysa B, Roshi E: Factors Associated with Fatal Traffic Accidents in Tirana, Albania: Cross sectional Study. Croat Med J 2008, 49(6): 734–740.
Haile Mekonnen Fenta, Demeke Lakew Workie. Analysis of Factors that Affect Road Traffic Accidents in Bahir Dar City, North Western Ethiopia. Science Journal of Applied Mathematics and Statistics. Vol. 2, No. 5, 2014, pp. 91-96. doi: 10.11648/j.sjams.20140205.11.
Akongbota J. (2011, May 12). Reducing accidents on our roads. Retrieved December 21, 2011, from government of Ghana official portal web site:
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