Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia

Tesfahun Zewde

doi:doi:10.11648/j.sjams.20170506.13

| Peer-Reviewed

Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia

Tesfahun Zewde

Published in Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 6)

Received: 29 August 2017 Accepted: 14 September 2017 Published: 7 December 2017

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

Published in	Science Journal of Applied Mathematics and Statistics (Volume 5, Issue 6)
DOI	10.11648/j.sjams.20170506.13
Page(s)	210-215
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Drivers, Traffic Accidents, Poisson Regression Model

References

[1]	WHO, 2015: Global status report on road safety 2015.
[2]	Lagarde E: Road traffic injury is an escalating burden in Africa and deserves proportionate research efforts. PLos Medicine 2007, 4: 0967-0971.
[3]	Federal Democratic Republic of Ethiopia: Police Commission Report 2014.
[4]	Peden M, Scurfield R, Sleet D: World report on road traffic injury prevention 2004.
[5]	Finch J, Kompfner P, Lockwood R, Maycock G: Speed limits and accidents Transport Research Laboratory; 1994.
[6]	Waller F, Stewart J, Hansen A: The potentiating effects of alcohol on driver injury. J Am Med Assoc 1996, 255: 522-527.
[7]	US department of transportation: Traffic Safety Facts Washington, DC; 2009.
[8]	Washington SP, Karlaftis MG, Mannering FL (2003) Statistical and econometric methods for transportation data analysis. Chapman Hall/CRC, Boca Raton, FL.
[9]	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 http://www.tfhrc.gov/ safety/pubs/97106/index.htm
[10]	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).
[11]	Deus DK: Risk Factors and Road Traffic Accidents in Tanzania: A Case Study of Kibaha District facultate for sunfunnsvitenskap Og teknologiledelse; 2006.
[12]	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.
[13]	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.
[14]	Akongbota J. (2011, May 12). Reducing accidents on our roads. Retrieved December 21, 2011, from government of Ghana official portal web site: http://www.ghana.gov.gh/index.php?option=com_content&view=article&id=5864:reducingaccidents-on-our-roads&catid=24:features&Itemid=167.

Cite This Article

Plain Text BibTeX RIS

APA Style

Tesfahun Zewde. (2017). Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia. Science Journal of Applied Mathematics and Statistics, 5(6), 210-215. https://doi.org/10.11648/j.sjams.20170506.13

Copy | Download

ACS Style

Tesfahun Zewde. Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia. Sci. J. Appl. Math. Stat. 2017, 5(6), 210-215. doi: 10.11648/j.sjams.20170506.13

Copy | Download

AMA Style

Tesfahun Zewde. Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia. Sci J Appl Math Stat. 2017;5(6):210-215. doi: 10.11648/j.sjams.20170506.13

Copy | Download

@article{10.11648/j.sjams.20170506.13,
  author = {Tesfahun Zewde},
  title = {Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {5},
  number = {6},
  pages = {210-215},
  doi = {10.11648/j.sjams.20170506.13},
  url = {https://doi.org/10.11648/j.sjams.20170506.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170506.13},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia
AU  - Tesfahun Zewde
Y1  - 2017/12/07
PY  - 2017
N1  - https://doi.org/10.11648/j.sjams.20170506.13
DO  - 10.11648/j.sjams.20170506.13
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 210
EP  - 215
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20170506.13
AB  - 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.
VL  - 5
IS  - 6
ER  -

Copy | Download

Author Information

Tesfahun Zewde

Statistics Department, Arba Minch University, Arba Minch, Ethiopia

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Tesfahun Zewde. (2017). Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia. Science Journal of Applied Mathematics and Statistics, 5(6), 210-215. https://doi.org/10.11648/j.sjams.20170506.13

Copy | Download

ACS Style

Tesfahun Zewde. Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia. Sci. J. Appl. Math. Stat. 2017, 5(6), 210-215. doi: 10.11648/j.sjams.20170506.13

Copy | Download

AMA Style

Tesfahun Zewde. Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia. Sci J Appl Math Stat. 2017;5(6):210-215. doi: 10.11648/j.sjams.20170506.13

Copy | Download

@article{10.11648/j.sjams.20170506.13,
  author = {Tesfahun Zewde},
  title = {Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia},
  journal = {Science Journal of Applied Mathematics and Statistics},
  volume = {5},
  number = {6},
  pages = {210-215},
  doi = {10.11648/j.sjams.20170506.13},
  url = {https://doi.org/10.11648/j.sjams.20170506.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20170506.13},
  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.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Determinants that Lead Drivers into Traffic Accidents: A Case of Arba Minch City, South Ethiopia
AU  - Tesfahun Zewde
Y1  - 2017/12/07
PY  - 2017
N1  - https://doi.org/10.11648/j.sjams.20170506.13
DO  - 10.11648/j.sjams.20170506.13
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 210
EP  - 215
PB  - Science Publishing Group
SN  - 2376-9513
UR  - https://doi.org/10.11648/j.sjams.20170506.13
AB  - 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.
VL  - 5
IS  - 6
ER  -

Copy | Download