Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia

Azimeraw Belsti Melese; Belay Beleke Adera

doi:doi:10.11648/j.ajtte.20220706.11

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Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia

Azimeraw Belsti Melese, Belay Beleke Adera

Published in American Journal of Traffic and Transportation Engineering (Volume 7, Issue 6)

Received: 13 July 2022 Accepted: 11 August 2022 Published: 4 November 2022

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Abstract

In this era of rapid economic development in developing countries, high interest in urbanization, and increasing urban functional land uses, many towns emerge unplanned. In addition, the need for transportation to mobilize goods and travelers, which frequently produces accidents in many towns and cities, several findings show that road traffic accidents occur in an urban area because of the vehicle, driver, environment, and other related factors. However, this study investigated the improper usage of urban land for different functions as additional accident factors, which is the root and still hidden problem for road traffic accidents in an urban area. The aim of this study is to recognize the kinds of urban land use that are highly associated with traffic accidents and to advise on the most efficient strategy for reducing these serious accidents. A method for this study was by identifying areas where frequent accidents were recorded and probably related to the use of the land in this area. Two selected cluster areas of about 6.5 km² were investigated to determine the relationship between road traffic accidents and the functional land uses. Hence, a direct link between functional land use and road accidents was investigated. A general prediction model for forecasting vehicle accidents related to land use has been developed using variable responses, with functional primary land use and traffic volume. Overall, the study found that traffic accidents on roads in urban centers and public institutions were particularly associated with congested, limited, and centralized commercial land use and unbalanced traffic generation and attraction land use. Most crashes have occurred in commercial and terminal land-use type. Almost 67% of the accident were recorded on zone-1, which was 39.4% commercial and 22.9% residential whereas, commercial proportion is only 2.9% and residential is 59.9% in case of zone-2. The multivariate accident prediction model for different land-use types as developed and presented, formed by several parameters, like Average Annual Daily Traffic (AADT) as an exposure variable, and land use types; residential (R), Commercial (C), social and municipality (SM), terminal (T), government administration (GA), green (G) and industry (I). Prediction model shows that unlike other land use types, commercial land-use type is highly correlated with predicted accidents and minimum increment in the area of commercial land type will significant improvement of road safety issues.

Published in	American Journal of Traffic and Transportation Engineering (Volume 7, Issue 6)
DOI	10.11648/j.ajtte.20220706.11
Page(s)	93-99
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), 2024. Published by Science Publishing Group

Keywords

Improper Urban Land Use, Negative Binomial Regression, Traffic Accident, Debre Markos

References

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[5]	Badoe, D. A., & Miller, E. J. (2000). Transportation–land-use interaction: empirical findings in North America, and their implications for modeling. Transportation Research Part D: Transport and Environment, 5 (4), 235–263.
[6]	Tefera Bahiru (2015). Influence of Road Traffic Management and Geometric Characteristics on Traffic Safety Case Study Addis Ababa, Ethiopia, Master Thesis. Addis Ababa.
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[8]	Vigar, G. Towards an integrated spatial planning? Eur. Plan. Stud. 2009, 17, 1571–1590.
[9]	J Y Yap et al 2022 IOP Conf. Ser.: Earth Environ. Sci. 1022 012035; A Study of Traffic Congestion Influenced by the Pattern of Land Use.
[10]	Zhao, P.; Wan, J. Land use and travel burden of residents in urban fringe and rural areas: An evaluation of urban-rural integration initiatives in Beijing. Land Use Policy 2021, 103, 105309.
[11]	Zheng, Y et al. (2019) Incorporating transportation safety into land use planning: Pre-assessment of land use conversion effects on severe crashes in urban China. Applied Geography, 103. pp. 1-11. ISSN 0143-6228.
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[16]	Ye, Z., & Lord, D. (2011). Goodness-of-Fit Testing for Accident Models with Low. Goodness-of-Fit Testing for Accident Models with Low, 1–21.

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Azimeraw Belsti Melese, Belay Beleke Adera. (2022). Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia. American Journal of Traffic and Transportation Engineering, 7(6), 93-99. https://doi.org/10.11648/j.ajtte.20220706.11

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Azimeraw Belsti Melese; Belay Beleke Adera. Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia. Am. J. Traffic Transp. Eng. 2022, 7(6), 93-99. doi: 10.11648/j.ajtte.20220706.11

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AMA Style

Azimeraw Belsti Melese, Belay Beleke Adera. Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia. Am J Traffic Transp Eng. 2022;7(6):93-99. doi: 10.11648/j.ajtte.20220706.11

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@article{10.11648/j.ajtte.20220706.11,
  author = {Azimeraw Belsti Melese and Belay Beleke Adera},
  title = {Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {7},
  number = {6},
  pages = {93-99},
  doi = {10.11648/j.ajtte.20220706.11},
  url = {https://doi.org/10.11648/j.ajtte.20220706.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20220706.11},
  abstract = {In this era of rapid economic development in developing countries, high interest in urbanization, and increasing urban functional land uses, many towns emerge unplanned. In addition, the need for transportation to mobilize goods and travelers, which frequently produces accidents in many towns and cities, several findings show that road traffic accidents occur in an urban area because of the vehicle, driver, environment, and other related factors. However, this study investigated the improper usage of urban land for different functions as additional accident factors, which is the root and still hidden problem for road traffic accidents in an urban area. The aim of this study is to recognize the kinds of urban land use that are highly associated with traffic accidents and to advise on the most efficient strategy for reducing these serious accidents. A method for this study was by identifying areas where frequent accidents were recorded and probably related to the use of the land in this area. Two selected cluster areas of about 6.5 km2 were investigated to determine the relationship between road traffic accidents and the functional land uses. Hence, a direct link between functional land use and road accidents was investigated. A general prediction model for forecasting vehicle accidents related to land use has been developed using variable responses, with functional primary land use and traffic volume. Overall, the study found that traffic accidents on roads in urban centers and public institutions were particularly associated with congested, limited, and centralized commercial land use and unbalanced traffic generation and attraction land use. Most crashes have occurred in commercial and terminal land-use type. Almost 67% of the accident were recorded on zone-1, which was 39.4% commercial and 22.9% residential whereas, commercial proportion is only 2.9% and residential is 59.9% in case of zone-2. The multivariate accident prediction model for different land-use types as developed and presented, formed by several parameters, like Average Annual Daily Traffic (AADT) as an exposure variable, and land use types; residential (R), Commercial (C), social and municipality (SM), terminal (T), government administration (GA), green (G) and industry (I). Prediction model shows that unlike other land use types, commercial land-use type is highly correlated with predicted accidents and minimum increment in the area of commercial land type will significant improvement of road safety issues.},
 year = {2022}
}

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TY  - JOUR
T1  - Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia
AU  - Azimeraw Belsti Melese
AU  - Belay Beleke Adera
Y1  - 2022/11/04
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtte.20220706.11
DO  - 10.11648/j.ajtte.20220706.11
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 93
EP  - 99
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20220706.11
AB  - In this era of rapid economic development in developing countries, high interest in urbanization, and increasing urban functional land uses, many towns emerge unplanned. In addition, the need for transportation to mobilize goods and travelers, which frequently produces accidents in many towns and cities, several findings show that road traffic accidents occur in an urban area because of the vehicle, driver, environment, and other related factors. However, this study investigated the improper usage of urban land for different functions as additional accident factors, which is the root and still hidden problem for road traffic accidents in an urban area. The aim of this study is to recognize the kinds of urban land use that are highly associated with traffic accidents and to advise on the most efficient strategy for reducing these serious accidents. A method for this study was by identifying areas where frequent accidents were recorded and probably related to the use of the land in this area. Two selected cluster areas of about 6.5 km2 were investigated to determine the relationship between road traffic accidents and the functional land uses. Hence, a direct link between functional land use and road accidents was investigated. A general prediction model for forecasting vehicle accidents related to land use has been developed using variable responses, with functional primary land use and traffic volume. Overall, the study found that traffic accidents on roads in urban centers and public institutions were particularly associated with congested, limited, and centralized commercial land use and unbalanced traffic generation and attraction land use. Most crashes have occurred in commercial and terminal land-use type. Almost 67% of the accident were recorded on zone-1, which was 39.4% commercial and 22.9% residential whereas, commercial proportion is only 2.9% and residential is 59.9% in case of zone-2. The multivariate accident prediction model for different land-use types as developed and presented, formed by several parameters, like Average Annual Daily Traffic (AADT) as an exposure variable, and land use types; residential (R), Commercial (C), social and municipality (SM), terminal (T), government administration (GA), green (G) and industry (I). Prediction model shows that unlike other land use types, commercial land-use type is highly correlated with predicted accidents and minimum increment in the area of commercial land type will significant improvement of road safety issues.
VL  - 7
IS  - 6
ER  -

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Author Information

Azimeraw Belsti Melese

School of Postgraduates, Arba Minch University, Arba Minch, Ethiopia
Belay Beleke Adera

Faculty of Civil Engineering, Arba Minch Institute of Technology, Arba Minch, Ethiopia

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APA Style

Azimeraw Belsti Melese, Belay Beleke Adera. (2022). Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia. American Journal of Traffic and Transportation Engineering, 7(6), 93-99. https://doi.org/10.11648/j.ajtte.20220706.11

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ACS Style

Azimeraw Belsti Melese; Belay Beleke Adera. Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia. Am. J. Traffic Transp. Eng. 2022, 7(6), 93-99. doi: 10.11648/j.ajtte.20220706.11

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AMA Style

Azimeraw Belsti Melese, Belay Beleke Adera. Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia. Am J Traffic Transp Eng. 2022;7(6):93-99. doi: 10.11648/j.ajtte.20220706.11

Copy | Download

@article{10.11648/j.ajtte.20220706.11,
  author = {Azimeraw Belsti Melese and Belay Beleke Adera},
  title = {Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {7},
  number = {6},
  pages = {93-99},
  doi = {10.11648/j.ajtte.20220706.11},
  url = {https://doi.org/10.11648/j.ajtte.20220706.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20220706.11},
  abstract = {In this era of rapid economic development in developing countries, high interest in urbanization, and increasing urban functional land uses, many towns emerge unplanned. In addition, the need for transportation to mobilize goods and travelers, which frequently produces accidents in many towns and cities, several findings show that road traffic accidents occur in an urban area because of the vehicle, driver, environment, and other related factors. However, this study investigated the improper usage of urban land for different functions as additional accident factors, which is the root and still hidden problem for road traffic accidents in an urban area. The aim of this study is to recognize the kinds of urban land use that are highly associated with traffic accidents and to advise on the most efficient strategy for reducing these serious accidents. A method for this study was by identifying areas where frequent accidents were recorded and probably related to the use of the land in this area. Two selected cluster areas of about 6.5 km2 were investigated to determine the relationship between road traffic accidents and the functional land uses. Hence, a direct link between functional land use and road accidents was investigated. A general prediction model for forecasting vehicle accidents related to land use has been developed using variable responses, with functional primary land use and traffic volume. Overall, the study found that traffic accidents on roads in urban centers and public institutions were particularly associated with congested, limited, and centralized commercial land use and unbalanced traffic generation and attraction land use. Most crashes have occurred in commercial and terminal land-use type. Almost 67% of the accident were recorded on zone-1, which was 39.4% commercial and 22.9% residential whereas, commercial proportion is only 2.9% and residential is 59.9% in case of zone-2. The multivariate accident prediction model for different land-use types as developed and presented, formed by several parameters, like Average Annual Daily Traffic (AADT) as an exposure variable, and land use types; residential (R), Commercial (C), social and municipality (SM), terminal (T), government administration (GA), green (G) and industry (I). Prediction model shows that unlike other land use types, commercial land-use type is highly correlated with predicted accidents and minimum increment in the area of commercial land type will significant improvement of road safety issues.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - Effect of Improper Urban - Land - Use on Road Safety in Debre Markos Town, Ethiopia
AU  - Azimeraw Belsti Melese
AU  - Belay Beleke Adera
Y1  - 2022/11/04
PY  - 2022
N1  - https://doi.org/10.11648/j.ajtte.20220706.11
DO  - 10.11648/j.ajtte.20220706.11
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 93
EP  - 99
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20220706.11
AB  - In this era of rapid economic development in developing countries, high interest in urbanization, and increasing urban functional land uses, many towns emerge unplanned. In addition, the need for transportation to mobilize goods and travelers, which frequently produces accidents in many towns and cities, several findings show that road traffic accidents occur in an urban area because of the vehicle, driver, environment, and other related factors. However, this study investigated the improper usage of urban land for different functions as additional accident factors, which is the root and still hidden problem for road traffic accidents in an urban area. The aim of this study is to recognize the kinds of urban land use that are highly associated with traffic accidents and to advise on the most efficient strategy for reducing these serious accidents. A method for this study was by identifying areas where frequent accidents were recorded and probably related to the use of the land in this area. Two selected cluster areas of about 6.5 km2 were investigated to determine the relationship between road traffic accidents and the functional land uses. Hence, a direct link between functional land use and road accidents was investigated. A general prediction model for forecasting vehicle accidents related to land use has been developed using variable responses, with functional primary land use and traffic volume. Overall, the study found that traffic accidents on roads in urban centers and public institutions were particularly associated with congested, limited, and centralized commercial land use and unbalanced traffic generation and attraction land use. Most crashes have occurred in commercial and terminal land-use type. Almost 67% of the accident were recorded on zone-1, which was 39.4% commercial and 22.9% residential whereas, commercial proportion is only 2.9% and residential is 59.9% in case of zone-2. The multivariate accident prediction model for different land-use types as developed and presented, formed by several parameters, like Average Annual Daily Traffic (AADT) as an exposure variable, and land use types; residential (R), Commercial (C), social and municipality (SM), terminal (T), government administration (GA), green (G) and industry (I). Prediction model shows that unlike other land use types, commercial land-use type is highly correlated with predicted accidents and minimum increment in the area of commercial land type will significant improvement of road safety issues.
VL  - 7
IS  - 6
ER  -

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