Road Traffic Injuries (RTIs) represent a significant public health issue in developing countries. Of recent, cities in Cameroon have shown consistent upward trends in road traffic accidents and fatal injuries, resulting in the deaths of road users. There is a nuanced understanding of the countermeasures in place to halve road injuries cases in the country, despite implementation of the Second Decade of Action for Road Safety target 2030 in Cameroon since 2016. This paper aims to (i) assess crash injury situation in Bamenda from 2015 to 2023, (i) evaluate pre-event factors of crashes/injuries among hosts (taxi drivers, motorcycle riders and private vehicle owners) and, (iii) identify sustainable strategies to reduce road crashes/injuries in the city. The study made used of 156 survey participants, made up of motorcycle riders, taxi drivers, and pedestrians, to gather their views on crash/injury cases in Bamenda city. The Regional Delegation of Transport (RDT) and its Department of Road Safety (DRS) provided relevant records on injury cases, which were crucial for analyzing their patterns and developing potential strategies for mitigating these incidents. The Haddon model introduced a conceptual framework that helped identify hosts, agents, and physical/social environmental risk factors for crash/injury cases that needed prevention. Key findings indicate that traffic injuries have significantly increased in the city, mainly due to factors such as speeding, overloading, overtaking, reckless driving, traffic congestion, poor road quality, and the absence of road/traffic signals. The findings derived from the Haddon matrix demonstrated its effectiveness in training emerging researchers in Cameroon to engage in conceptual analysis regarding the incidence of automobile crashes in urban areas and to develop innovative strategies for implementing preventive countermeasures.
Published in | International Journal of Transportation Engineering and Technology (Volume 11, Issue 2) |
DOI | 10.11648/j.ijtet.20251102.14 |
Page(s) | 85-97 |
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), 2025. Published by Science Publishing Group |
Haddon’s Matrix, Community-based, Injury Prevention, Cameroon Cities, Bamenda
Pre-event factors | Target responses | Percentage (%) |
---|---|---|
Over speeding | 125 | 80,1 |
Over load | 136 | 87,2 |
Reckless driving | 152 | 97,4 |
Traffic congestion | 120 | 76,9 |
Absence of traffic signals | 137 | 87,8 |
Sleepy road | 113 | 72,4 |
Unsafe driving | 144 | 92,3 |
Vendors closeness to the road | 121 | 77,5 |
Drunkenness | 140 | 89,7 |
Bad roads | 150 | 96,1 |
Wrong driving | 118 | 75,6 |
Break failure | 60 | 38,4 |
Pre-event factors affecting host | Hosts | |||||
---|---|---|---|---|---|---|
Taxi | Motor-bikes | Private vehicles | ||||
Freq. | % | Freq. | % | Freq. | % | |
Over speeding | 117 | 75,0 | 92 | 58,9 | 63 | 40,4 |
Over load | 98 | 62,8 | 114 | 73,1 | 15 | 9,6 |
Reckless driving | 102 | 65,4 | 149 | 95,5 | 39 | 25,0 |
Traffic congestion | 86 | 55,1 | 142 | 91,0 | 99 | 63,4 |
Absence of traffic signals | 79 | 50,6 | 109 | 69,8 | 125 | 80,1 |
Sleepy road | 57 | 36,5 | 76 | 48,7 | 52 | 33,3 |
Unsafe driving | 150 | 96,2 | 138 | 88,4 | 55 | 35,2 |
Vendors near road | 58 | 37,2 | 65 | 41,6 | 46 | 29,5 |
Drunkenness | 88 | 56,4 | 106 | 67,9 | 33 | 21,2 |
Bad roads | 156 | 100,0 | 156 | 100,0 | 156 | 100,0 |
Wrong driving | 83 | 53,2 | 147 | 94,2 | 64 | 41,0 |
Break failure | 46 | 29,5 | 13 | 8,3 | 34 | 21,7 |
Pedestrian fault | 62 | 39,7 | 57 | 36,5 | 73 | 46,7 |
Event factors affecting host | drunk driving | Phone distraction | Loss balance | |||
Head-on collision | 140 | 89,7 | 127 | 81,4 | 42 | 26,9 |
Side-wipe | 43 | 27,2 | 69 | 44,2 | 138 | 88,4 |
Sandwich collision | 116 | 74,3 | 31 | 19,8 | 34 | 21,7 |
T-bone | 120 | 76,9 | 84 | 53,8 | 93 | 59,6 |
Rear-end collision | 51 | 32,6 | 23 | 14,7 | 125 | 80,1 |
Rollover | 135 | 86,5 | 26 | 16,6 | 137 | 87,8 |
Stakeholders | Road safety initiative | Target groups | Content deliver |
---|---|---|---|
Ministry of Transport and Transport Syndicates | Road Safety Education campaigns | Taxi drivers, bike riders, teachers, private vehicle owners | Understanding road safety measures and responsible conduct, statistics, challenges, and risk factors; Distribution of tracks to drivers on driving behaviors |
Cameroon Association for the Defence of victims of Accident (CADVA) | Capacity-building workshops, Save Kids Lives Campaign | Taxi drivers, bike riders, private vehicle owners | Road safety awareness; Traffic rules and guideline; Road safety measures and best practices; pedestrians’ safety; Traffic sign and signals; Traffic Laws and Regulations; road safety props |
The Municipal Councils | Enforcement measures by the local Traffic Police Officers. | Taxi drivers, bike riders, private vehicle owners | Control of driving particulars, license, overload, status of car |
Basic road safety elements | Road users (hosts) | Environment | vehicle | |
---|---|---|---|---|
Pre-crash | Crash prevention | Education training, license, impairment, behavior | Road design signs, markings maintenance | Roadworthiness, system (lights, brakes,) |
Crash | Accident/Injury prevention | Use of restraints (seatbelts) impairment | Protection (barrier) pedestrians crossing | Restraints crashworthiness, maintenance |
Post-crash | Life sustaining | First aid skill, access to medics | Rescue facilities, congestion | Ease of access, fire risk |
Pre-crash | Crash prevention | Education, training, impairment, behavior | Road design, signs, markings, maintenance | Roadworthiness, system (lights, brakes,) |
BCC | Bamenda City Council |
CADVA | Cameroon Association for the Defense of Victims of Accident |
DRS | Department of Road Safety |
LMICs | Low- and Middle Income Countries |
NIS | National Institute of Statistics |
RDT | Regional Delegation of Transport |
RTI | Road Traffic Injuries |
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APA Style
Chianebeng, J. K. (2025). Application of Haddon Matrix Model for Traffic Injury Prevention in Cameroon Cities: Using Samples from Bamenda City. International Journal of Transportation Engineering and Technology, 11(2), 85-97. https://doi.org/10.11648/j.ijtet.20251102.14
ACS Style
Chianebeng, J. K. Application of Haddon Matrix Model for Traffic Injury Prevention in Cameroon Cities: Using Samples from Bamenda City. Int. J. Transp. Eng. Technol. 2025, 11(2), 85-97. doi: 10.11648/j.ijtet.20251102.14
@article{10.11648/j.ijtet.20251102.14, author = {Japhet Kuma Chianebeng}, title = {Application of Haddon Matrix Model for Traffic Injury Prevention in Cameroon Cities: Using Samples from Bamenda City}, journal = {International Journal of Transportation Engineering and Technology}, volume = {11}, number = {2}, pages = {85-97}, doi = {10.11648/j.ijtet.20251102.14}, url = {https://doi.org/10.11648/j.ijtet.20251102.14}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20251102.14}, abstract = {Road Traffic Injuries (RTIs) represent a significant public health issue in developing countries. Of recent, cities in Cameroon have shown consistent upward trends in road traffic accidents and fatal injuries, resulting in the deaths of road users. There is a nuanced understanding of the countermeasures in place to halve road injuries cases in the country, despite implementation of the Second Decade of Action for Road Safety target 2030 in Cameroon since 2016. This paper aims to (i) assess crash injury situation in Bamenda from 2015 to 2023, (i) evaluate pre-event factors of crashes/injuries among hosts (taxi drivers, motorcycle riders and private vehicle owners) and, (iii) identify sustainable strategies to reduce road crashes/injuries in the city. The study made used of 156 survey participants, made up of motorcycle riders, taxi drivers, and pedestrians, to gather their views on crash/injury cases in Bamenda city. The Regional Delegation of Transport (RDT) and its Department of Road Safety (DRS) provided relevant records on injury cases, which were crucial for analyzing their patterns and developing potential strategies for mitigating these incidents. The Haddon model introduced a conceptual framework that helped identify hosts, agents, and physical/social environmental risk factors for crash/injury cases that needed prevention. Key findings indicate that traffic injuries have significantly increased in the city, mainly due to factors such as speeding, overloading, overtaking, reckless driving, traffic congestion, poor road quality, and the absence of road/traffic signals. The findings derived from the Haddon matrix demonstrated its effectiveness in training emerging researchers in Cameroon to engage in conceptual analysis regarding the incidence of automobile crashes in urban areas and to develop innovative strategies for implementing preventive countermeasures.}, year = {2025} }
TY - JOUR T1 - Application of Haddon Matrix Model for Traffic Injury Prevention in Cameroon Cities: Using Samples from Bamenda City AU - Japhet Kuma Chianebeng Y1 - 2025/06/25 PY - 2025 N1 - https://doi.org/10.11648/j.ijtet.20251102.14 DO - 10.11648/j.ijtet.20251102.14 T2 - International Journal of Transportation Engineering and Technology JF - International Journal of Transportation Engineering and Technology JO - International Journal of Transportation Engineering and Technology SP - 85 EP - 97 PB - Science Publishing Group SN - 2575-1751 UR - https://doi.org/10.11648/j.ijtet.20251102.14 AB - Road Traffic Injuries (RTIs) represent a significant public health issue in developing countries. Of recent, cities in Cameroon have shown consistent upward trends in road traffic accidents and fatal injuries, resulting in the deaths of road users. There is a nuanced understanding of the countermeasures in place to halve road injuries cases in the country, despite implementation of the Second Decade of Action for Road Safety target 2030 in Cameroon since 2016. This paper aims to (i) assess crash injury situation in Bamenda from 2015 to 2023, (i) evaluate pre-event factors of crashes/injuries among hosts (taxi drivers, motorcycle riders and private vehicle owners) and, (iii) identify sustainable strategies to reduce road crashes/injuries in the city. The study made used of 156 survey participants, made up of motorcycle riders, taxi drivers, and pedestrians, to gather their views on crash/injury cases in Bamenda city. The Regional Delegation of Transport (RDT) and its Department of Road Safety (DRS) provided relevant records on injury cases, which were crucial for analyzing their patterns and developing potential strategies for mitigating these incidents. The Haddon model introduced a conceptual framework that helped identify hosts, agents, and physical/social environmental risk factors for crash/injury cases that needed prevention. Key findings indicate that traffic injuries have significantly increased in the city, mainly due to factors such as speeding, overloading, overtaking, reckless driving, traffic congestion, poor road quality, and the absence of road/traffic signals. The findings derived from the Haddon matrix demonstrated its effectiveness in training emerging researchers in Cameroon to engage in conceptual analysis regarding the incidence of automobile crashes in urban areas and to develop innovative strategies for implementing preventive countermeasures. VL - 11 IS - 2 ER -