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article · International Journal of Transportation Engineering and Technology

Application of Haddon Matrix Model for Traffic Injury Prevention in Cameroon Cities: Using Samples from Bamenda City

2025Open accessUniversity of Bamenda

In plain language

This research addresses the significant increase in road traffic injuries (RTIs) in Cameroonian cities, specifically Bamenda, between 2015 and 2023, despite ongoing road safety initiatives. The study aimed to assess the crash injury situation, evaluate pre-event factors among road users, and identify sustainable reduction strategies. It involved surveying 156 participants, including motorcycle riders, taxi drivers, and pedestrians, and analysing official injury records. Utilising the Haddon Matrix model, the research identified key risk factors such as speeding, overloading, reckless driving, traffic congestion, poor road quality, and the absence of road signals. The Haddon matrix was also found to be an effective tool for training researchers in conceptual analysis and developing preventive countermeasures.

Key takeaways

  • Road traffic injuries in Bamenda, Cameroon, significantly increased between 2015 and 2023.
  • Key factors contributing to these injuries include speeding, overloading, reckless driving, poor road quality, and inadequate traffic signals.
  • The Haddon Matrix model proved effective in identifying risk factors and developing preventive countermeasures for urban automobile crashes.
  • The study gathered data through surveys with road users and analysis of official injury records.

Why it matters

Road traffic injuries are a critical public health issue, particularly in developing countries. This research provides a detailed understanding of the causes of rising accident rates in Cameroonian cities, offering a framework and specific insights that can inform policy and intervention strategies to improve urban road safety and save lives.

Commercialisation angle

The abstract highlights the effectiveness of the Haddon Matrix model for conceptual analysis and developing preventive countermeasures. This suggests its potential as a tool for training emerging researchers and road safety practitioners in urban planning and public health organisations. It is an applied research finding, demonstrating a methodology for practical use in policy and intervention design.

AI-generated from the published abstract. Always read the original work before citing.

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.

Research topics

  • Traffic and Road Safety
  • Urban Transport and Accessibility
  • Transportation Planning and Optimization

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.11648/j.ijtet.20251102.14

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