Modelling the Trend of Road Traffic Accidents in Accra

Edwin Mends–Brew; Joseph Dadzie; Ben Apau Dadson; Martin Owusu Amoamah

doi:doi:10.11648/j.mma.20180301.11

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Modelling the Trend of Road Traffic Accidents in Accra

Edwin Mends–Brew, Joseph Dadzie, Ben Apau Dadson, Martin Owusu Amoamah

Published in Mathematical Modelling and Applications (Volume 3, Issue 1)

Received: 26 October 2017 Accepted: 22 November 2017 Published: 2 January 2018

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Abstract

Road transportation remains the dominant mode of transporting goods and commuters in Ghana. Over the last couple of decades, the Government of Ghana has aggressively pursued a comprehensive road infrastructural development and maintenance programmes with the aim of improving the entire road network in response to increase in travel and transportation. This is as a result of growth and expansion of economic activity with raised consumption levels of the people. Consequently, this improvement is aimed at reducing the menace and the carnage on roads in the country. Unfortunately, with the increasing road network, the number of fatalities has also been on the rise leading to great concerns for road safety. The purpose of this paper is to come out with a predictive mathematical model on the trend of Road Traffic Accident (RTA) occurrence in Ghana. Descriptive data in the public domain from statutory bodies especially the Motor Traffic and Transport Directorate (MTTD) of the Ghana Police Service on RTAs together with a host of academic papers on the subject matter were used as sources of information. The result of the sixth order polynomial analysis showed an r-squared value of 0.957 which was statistically significant inferring that the model has a 95.7% accuracy of predicting road traffic accidents in Ghana. It was also evident that road traffic accidents significantly increased with increased stretch of roads (km), absence of road safety officials and the blatant disregard for road safety measures aimed at ensuring safety on the roads. Based on the findings, recommendations were advised on how to reduce the phenomenon of traffic accidents in Ghana particularly in the Greater Accra region.

Published in	Mathematical Modelling and Applications (Volume 3, Issue 1)
DOI	10.11648/j.mma.20180301.11
Page(s)	1-8
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), 2018. Published by Science Publishing Group

Keywords

Road Traffic Accidents (RTA), Predictive Model, Sixth-Order Polynomial, Road Safety

References

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APA Style

Edwin Mends–Brew, Joseph Dadzie, Ben Apau Dadson, Martin Owusu Amoamah. (2018). Modelling the Trend of Road Traffic Accidents in Accra. Mathematical Modelling and Applications, 3(1), 1-8. https://doi.org/10.11648/j.mma.20180301.11

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ACS Style

Edwin Mends–Brew; Joseph Dadzie; Ben Apau Dadson; Martin Owusu Amoamah. Modelling the Trend of Road Traffic Accidents in Accra. Math. Model. Appl. 2018, 3(1), 1-8. doi: 10.11648/j.mma.20180301.11

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AMA Style

Edwin Mends–Brew, Joseph Dadzie, Ben Apau Dadson, Martin Owusu Amoamah. Modelling the Trend of Road Traffic Accidents in Accra. Math Model Appl. 2018;3(1):1-8. doi: 10.11648/j.mma.20180301.11

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@article{10.11648/j.mma.20180301.11,
  author = {Edwin Mends–Brew and Joseph Dadzie and Ben Apau Dadson and Martin Owusu Amoamah},
  title = {Modelling the Trend of Road Traffic Accidents in Accra},
  journal = {Mathematical Modelling and Applications},
  volume = {3},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.mma.20180301.11},
  url = {https://doi.org/10.11648/j.mma.20180301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20180301.11},
  abstract = {Road transportation remains the dominant mode of transporting goods and commuters in Ghana. Over the last couple of decades, the Government of Ghana has aggressively pursued a comprehensive road infrastructural development and maintenance programmes with the aim of improving the entire road network in response to increase in travel and transportation. This is as a result of growth and expansion of economic activity with raised consumption levels of the people. Consequently, this improvement is aimed at reducing the menace and the carnage on roads in the country. Unfortunately, with the increasing road network, the number of fatalities has also been on the rise leading to great concerns for road safety. The purpose of this paper is to come out with a predictive mathematical model on the trend of Road Traffic Accident (RTA) occurrence in Ghana. Descriptive data in the public domain from statutory bodies especially the Motor Traffic and Transport Directorate (MTTD) of the Ghana Police Service on RTAs together with a host of academic papers on the subject matter were used as sources of information. The result of the sixth order polynomial analysis showed an r-squared value of 0.957 which was statistically significant inferring that the model has a 95.7% accuracy of predicting road traffic accidents in Ghana. It was also evident that road traffic accidents significantly increased with increased stretch of roads (km), absence of road safety officials and the blatant disregard for road safety measures aimed at ensuring safety on the roads. Based on the findings, recommendations were advised on how to reduce the phenomenon of traffic accidents in Ghana particularly in the Greater Accra region.},
 year = {2018}
}

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TY  - JOUR
T1  - Modelling the Trend of Road Traffic Accidents in Accra
AU  - Edwin Mends–Brew
AU  - Joseph Dadzie
AU  - Ben Apau Dadson
AU  - Martin Owusu Amoamah
Y1  - 2018/01/02
PY  - 2018
N1  - https://doi.org/10.11648/j.mma.20180301.11
DO  - 10.11648/j.mma.20180301.11
T2  - Mathematical Modelling and Applications
JF  - Mathematical Modelling and Applications
JO  - Mathematical Modelling and Applications
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2575-1794
UR  - https://doi.org/10.11648/j.mma.20180301.11
AB  - Road transportation remains the dominant mode of transporting goods and commuters in Ghana. Over the last couple of decades, the Government of Ghana has aggressively pursued a comprehensive road infrastructural development and maintenance programmes with the aim of improving the entire road network in response to increase in travel and transportation. This is as a result of growth and expansion of economic activity with raised consumption levels of the people. Consequently, this improvement is aimed at reducing the menace and the carnage on roads in the country. Unfortunately, with the increasing road network, the number of fatalities has also been on the rise leading to great concerns for road safety. The purpose of this paper is to come out with a predictive mathematical model on the trend of Road Traffic Accident (RTA) occurrence in Ghana. Descriptive data in the public domain from statutory bodies especially the Motor Traffic and Transport Directorate (MTTD) of the Ghana Police Service on RTAs together with a host of academic papers on the subject matter were used as sources of information. The result of the sixth order polynomial analysis showed an r-squared value of 0.957 which was statistically significant inferring that the model has a 95.7% accuracy of predicting road traffic accidents in Ghana. It was also evident that road traffic accidents significantly increased with increased stretch of roads (km), absence of road safety officials and the blatant disregard for road safety measures aimed at ensuring safety on the roads. Based on the findings, recommendations were advised on how to reduce the phenomenon of traffic accidents in Ghana particularly in the Greater Accra region.
VL  - 3
IS  - 1
ER  -

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Author Information

Edwin Mends–Brew

Department of Mathematics & Statistics, Accra Technical University, Accra, Ghana
Joseph Dadzie

Department of Mathematics & Statistics, Accra Technical University, Accra, Ghana
Ben Apau Dadson

Department of Mathematics & Statistics, Accra Technical University, Accra, Ghana
Martin Owusu Amoamah

Department of Mathematics & Statistics, Accra Technical University, Accra, Ghana

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APA Style

Edwin Mends–Brew, Joseph Dadzie, Ben Apau Dadson, Martin Owusu Amoamah. (2018). Modelling the Trend of Road Traffic Accidents in Accra. Mathematical Modelling and Applications, 3(1), 1-8. https://doi.org/10.11648/j.mma.20180301.11

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ACS Style

Edwin Mends–Brew; Joseph Dadzie; Ben Apau Dadson; Martin Owusu Amoamah. Modelling the Trend of Road Traffic Accidents in Accra. Math. Model. Appl. 2018, 3(1), 1-8. doi: 10.11648/j.mma.20180301.11

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AMA Style

Edwin Mends–Brew, Joseph Dadzie, Ben Apau Dadson, Martin Owusu Amoamah. Modelling the Trend of Road Traffic Accidents in Accra. Math Model Appl. 2018;3(1):1-8. doi: 10.11648/j.mma.20180301.11

Copy | Download

@article{10.11648/j.mma.20180301.11,
  author = {Edwin Mends–Brew and Joseph Dadzie and Ben Apau Dadson and Martin Owusu Amoamah},
  title = {Modelling the Trend of Road Traffic Accidents in Accra},
  journal = {Mathematical Modelling and Applications},
  volume = {3},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.mma.20180301.11},
  url = {https://doi.org/10.11648/j.mma.20180301.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mma.20180301.11},
  abstract = {Road transportation remains the dominant mode of transporting goods and commuters in Ghana. Over the last couple of decades, the Government of Ghana has aggressively pursued a comprehensive road infrastructural development and maintenance programmes with the aim of improving the entire road network in response to increase in travel and transportation. This is as a result of growth and expansion of economic activity with raised consumption levels of the people. Consequently, this improvement is aimed at reducing the menace and the carnage on roads in the country. Unfortunately, with the increasing road network, the number of fatalities has also been on the rise leading to great concerns for road safety. The purpose of this paper is to come out with a predictive mathematical model on the trend of Road Traffic Accident (RTA) occurrence in Ghana. Descriptive data in the public domain from statutory bodies especially the Motor Traffic and Transport Directorate (MTTD) of the Ghana Police Service on RTAs together with a host of academic papers on the subject matter were used as sources of information. The result of the sixth order polynomial analysis showed an r-squared value of 0.957 which was statistically significant inferring that the model has a 95.7% accuracy of predicting road traffic accidents in Ghana. It was also evident that road traffic accidents significantly increased with increased stretch of roads (km), absence of road safety officials and the blatant disregard for road safety measures aimed at ensuring safety on the roads. Based on the findings, recommendations were advised on how to reduce the phenomenon of traffic accidents in Ghana particularly in the Greater Accra region.},
 year = {2018}
}

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TY  - JOUR
T1  - Modelling the Trend of Road Traffic Accidents in Accra
AU  - Edwin Mends–Brew
AU  - Joseph Dadzie
AU  - Ben Apau Dadson
AU  - Martin Owusu Amoamah
Y1  - 2018/01/02
PY  - 2018
N1  - https://doi.org/10.11648/j.mma.20180301.11
DO  - 10.11648/j.mma.20180301.11
T2  - Mathematical Modelling and Applications
JF  - Mathematical Modelling and Applications
JO  - Mathematical Modelling and Applications
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2575-1794
UR  - https://doi.org/10.11648/j.mma.20180301.11
AB  - Road transportation remains the dominant mode of transporting goods and commuters in Ghana. Over the last couple of decades, the Government of Ghana has aggressively pursued a comprehensive road infrastructural development and maintenance programmes with the aim of improving the entire road network in response to increase in travel and transportation. This is as a result of growth and expansion of economic activity with raised consumption levels of the people. Consequently, this improvement is aimed at reducing the menace and the carnage on roads in the country. Unfortunately, with the increasing road network, the number of fatalities has also been on the rise leading to great concerns for road safety. The purpose of this paper is to come out with a predictive mathematical model on the trend of Road Traffic Accident (RTA) occurrence in Ghana. Descriptive data in the public domain from statutory bodies especially the Motor Traffic and Transport Directorate (MTTD) of the Ghana Police Service on RTAs together with a host of academic papers on the subject matter were used as sources of information. The result of the sixth order polynomial analysis showed an r-squared value of 0.957 which was statistically significant inferring that the model has a 95.7% accuracy of predicting road traffic accidents in Ghana. It was also evident that road traffic accidents significantly increased with increased stretch of roads (km), absence of road safety officials and the blatant disregard for road safety measures aimed at ensuring safety on the roads. Based on the findings, recommendations were advised on how to reduce the phenomenon of traffic accidents in Ghana particularly in the Greater Accra region.
VL  - 3
IS  - 1
ER  -

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