The transition to sustainable mobility is a recognized socio-economic and environmental challenge, particularly among young adults. In addressing the gap in the literature on young adults’ travel behaviors, especially in Cameroon, this paper investigates the transport mode choices, influencing factors, and barriers to sustainable mobility of students at the National Advanced School of Public Works, Yaoundé (NASPW). Data were collected through online questionnaires with 360 valid responses. Findings revealed that most students used multiple modes of transport for commuting, with moto-taxis being the most common. Accessibility, vehicle speed, and flexibility appeared as the most important reasons for the preferred transport modes, while driver’s license possession, safety perceptions, speed, and proximity were significant predictors for mode choice. Demographic factors were found to influence transport preferences, with distinct clusters prioritizing different aspects. Barriers to public transport were primarily long waiting times and congestion, while active mobility was hindered by distance, infrastructure, and weather. The usage of public transportation was encouraged by its affordability and reduced travel time, whilst active options were preferred due to cost savings and health benefits. To promote sustainable mobility for campus travel, it is crucial to encourage active modes, develop mass transport systems, and raise awareness through symposia and conferences among students and staff.

The transition to sustainable mobility is a recognized socio-economic and environmental challenge, particularly among young adults in low- and middle-income countries (LMICs). This paper addresses the lack of comprehensive research on mobility patterns for LMICs by examining the travel patterns of students, staff, and lecturers at the National Advanced School of Public Works, Yaoundé (NASPW) to understand transport mode choices and barriers to the use of public and active transport modes. Data was collected through online questionnaires from 425 participants. Findings revealed that most students (27.5%) used multiple modes of transport, with moto-taxis being the most common (21%). Lecturers primarily used private cars (50%), while staff relied on taxis or multiple modes (33%). Accessibility, vehicle speed, and flexibility appeared as the most important reasons for the preferred modes of transport. Barriers included long waiting times and traffic congestion for public transport, and distance and inadequate infrastructure for active mobility. The usage of public transportation was encouraged by its affordability and reduced travel time, whilst active options were preferred due to their cost savings and health benefits. To promote sustainable mobility for campus travel, it is crucial to encourage active modes, develop mass transport systems, and raise awareness through symposiums and conferences among students and staff.

Yaoundé, the capital of Cameroon, is one of the cities in the country most affected by road traffic crashes. Despite the measures taken by authorities, the human factor remains a major cause of these crashes. This study aimed to evaluate the measures taken to reduce the risk-taking behaviors of collective taxi drivers in Yaoundé. A survey of 144 collective taxi drivers was conducted to gather information on their driving habits, adherence to, and perceived effects of safety regulations. The study revealed the following prevalence of risky driving behaviors among collective taxi drivers: 41.33% for impaired driving; 67% for speeding, 62% for disobeying traffic lights, 68.86% for distraction; and 67% for risky maneuvering on the road. Significant associations were found between risk perceptions and involvement in risky driving behaviors. Associations were also established between the frequency of police inspections and involvement in risky behaviors, between the participation in training programs on safety issues and using poorly maintained vehicles, and between the frequency of awareness campaigns and poor maneuvering on the road. To address these issues, it is essential to strengthen preventive measures on risk factors, raise awareness on a large scale and on a regular basis, and strictly enforce the existing regulations.

Urban mobility in Yaoundé is increasingly constrained by rapid demographic growth, unbalanced spatial development, and the absence of structured public transport. Daily commutes between peripheral neighbourhoods and the city centre are characterised by long travel times, heavy congestion, and strong reliance on informal modes. This study addresses the central question of which factors explain long commuting times in Yaoundé, and how they can be mitigated to improve daily mobility conditions. The analysis, based on a survey of 214 respondents (205 valid cases), complemented by spatial analysis, used a binary logit model to estimate the factors affecting the duration of commutes. The results show that over 18% of commuters report trips exceeding one hour, mostly using shared taxis and private cars. There is a significant use of motorcycle taxis to meander in traffic and reduce travel times often without regard for safety. Distance from the city centre, presence of traffic congestion and absence of reliable public transport are the most significant determinants of long commutes, whereas motorcycle taxis reduce the travel duration. Spatial analysis highlights recurrent bottlenecks where large incoming flows converge without adequate infrastructure or effective traffic management. Policy recommendations for efficient pendular mobility in Yaoundé include structuring public transport corridors with options, improved city planning, and strengthening governance through a metropolitan mobility authority, and regulating informal modes. These findings underline the urgency of integrated and inclusive strategies to foster sustainable commuting in Yaoundé.

With over 1000 road traffic fatalities recorded annually in Cameroon, the absence of the implementation of effective road safety measures remains a pressing concern. This study assesses the safety of road infrastructure in Bamenda using a data-driven approach that combines reactive safety indicators with iRAP star ratings to identify high-risk crash locations. After analysis of crash data and site visits, four indicators, with three being reactive (crash frequency, crash rate and injury severity index) and one proactive (iRAP star ratings) were calculated. The correlation between these indicators were also evaluated. Out of 64 evaluated sites (40 road segments and 24 intersections) with varying risks, 4 locations were identified for priority interventions as they had the highest risk based on all indicators. These sites had a mix of vehicle types with vulnerable road users, poor road geometry and unsafe road sides and speeding risks. The correlation between indicators varied, indicating the complementary nature of reactive and proactive assessments. The study highlights the added value of integrating the two approaches, both historical crash data and forward-looking infrastructure assessments to comprehensively identify and prioritize hazardous locations. The findings offer practical guidance for policymakers and urban planners to implement targeted, cost-effective safety interventions where resources are scarce. This approach supports the principles of the Safe System framework and can significantly contribute to reducing road traffic injuries and fatalities in low- and middle-income countries.