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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Author
Tesfahun Zewde, Statistics Department, Arba Minch University, Arba Minch, Ethiopia
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Abstract
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.
Keywords
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
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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