Tricycles contribute to road crashes globally, especially in Asia where it is a popular means of transport. Safety assessment of tricycles has discovered that associated fatality rate and severity of injuries from tricycle crashes, which has risen steadily, are due to their flawed designs especially the absence of seatbelts and paddings of hard surfaces. Tricycle related crashes were sourced weekly from the regional office of the National Road Safety Authority from January 2012 to June 2022 and modelled with Autoregressive Integrated Moving Average Model. The results showed ARIMA (1,0,3) errors were retained as the best model for estimating road fatalities caused by tricycle crashes. The exogenous factors: tricycle crashes, time of day, season of the year, and road design were tested and found to be statistically significant relative to its contribution to the fatalities. The time series components were deemed to be relevant contributing factors to fatalities for the study period. Further, crash data forecasted to October 2022 largely exhibited a sinusoidal behaviour with spikes at various weeks. It was recommended that tricycle drivers undergo mandatory refresher courses on safe driving techniques and general road safety regulations as a policy intervention. In addition, the licensing regime for tricycles should be strengthened, and government should create separate lanes along some major routes within the metropolitan, municipal, and district assemblies to eliminate or reduce the negative incidents.

Taxes consist of direct or indirect taxes and may be paid in money or as its labour equivalent. Taxes are mostly difficult to take from the informal sector since individuals must honour them through self-payment. Due to this, some individuals and cooperate bodies fails to pay voluntarily thereby evading tax. Thus, this paper sought to assess the key determinants of tax evasion and its effect on the Ghanaian economy based on evidence from Sunyani Municipality. The study therefore employed primary source of data collection. Cluster sampling technique was first utilized to group the respondents and subsequently applied systematic random sampling to select the final sample of 250 respondents. The results indicated that nine key determinants of tax evasion were identified. These include waste and corruption by government, complex tax system, high tax burden, compromised tax agents, inadequate tax education, non-consideration of taxpayers’ view, lesser punishment for tax evaders, owners’ unawareness to pay tax and the notion of only the rich pays tax. However, seven of these tax evasion determinants were significantly affecting or influencing the Ghanaian economy whereas the remaining two determinants of tax evasion were found not to contribute significantly, in terms of effect, on the economy. Also, the finding shows that tax evasion does not really depend on the type of business engaged in by SME owners.

Introduction: The construction industry experiences a high rate of fatalities and injuries due to unsafe behavior at the workplace. Personal Protective Equipment (PPE) effectively prevents occupational accidents, but compliance with its use is not always guaranteed due to unsafe behavior. However, the drivers of PPE use behavior among Ghanaian construction workers are poorly understood. This study aimed to identify the determinants of PPE use behavior among building construction students using the Theory of Planned Behavior (TPB) and the additional construct of perceived threat. Methods: Data was collected from 250 building construction students from Ho Technical University using a structured questionnaire. A stepwise multiple logistic regression was used to assess factors influencing PPE use behavior. Results: The study revealed that the six constructs explained 94% of variance in self-reported PPE use behavior. The intention construct was found to be the strongest predictor of PPE use behavior. Aside from intention, perceived severity was a better predictor of PPE use behavior among all the other constructs. Conclusion: This finding suggests that the higher the perceived severity, the more likely the students will use PPE to mitigate the risks of exposure to hazards. The findings underlined the importance of emphasizing the severity of occupational injuries from construction activities to improve PPE use behavior.

Knowledge and skill acquisition is a driver to the socioeconomic growth of a country, yet economic challenges, rapid urbanization, and migration have contributed to youth unemployment in Ghana. The introduction of auto-rickshaws in 2015 has increased access coverage to transportation, augmented existing public transportation, and created avenues for both operators’ and mechanics’ employment through co-ordinated skill development actions to empower youth-in-entrepreneurship. However, these have not been fully utilized and developed by the Government. The study seeks to identify basic needs of auto-rickshaw mechanics in establishing a sustainable repair and maintenance enterprise, identify challenges confronting auto-rickshaw mechanics, and analyze activities of the youth who repair, maintain, and service auto-rickshaws within the formal and informal sectors for sustainable enterprises. The study is underpinned by both resource-based and human capital theories: education and apprenticeship bothers on human capital theory, while entrepreneurial experience, shop space, business duration, and so on projects the resource-based theory. Questionnaires were administered to 237 auto-rickshaw mechanics and interviews were conducted for some selected auto-rickshaw mechanics to investigate challenges in the business in the Kumasi Metropolitan Area through a clustered and systematic sampling technique. Data analyzed using SPSS v.26 indicated a very youthful auto-rickshaw mechanic population with low educational level that operates without licensed garages. About 68.8% of the mechanics possessed some form of apprenticeship training, though they are not specific to auto-rickshaw repair and maintenance. Further, 71.7% auto-rickshaw mechanics do not keep records of their activities and there is a general lack of entrepreneurial skills among them. Lack of financial support from financial institutions was found to be a major challenge. The binary logistic regression model retained and confirmed six out of the seven predictors, including sex, age, education, marital status, duration of repairs and/or maintenance, shop space, tools and equipment, and mechanical training, as significant contributing factors to entrepreneurship training offered to enterprises within the Kumasi metropolis. The study recommends the urgent need to upgrade the technical and entrepreneurial skills of auto-rickshaw mechanics through the establishment of targeted and result-oriented training centers for better efficiency. The authors further recommend financial institutions to consider giving financial support to auto-rickshaw mechanics to help sustain their businesses.

Globally, the rise in car ownership and usage has intensified parking challenges, particularly within central business districts (CBDs) of many developed cities. Scarce parking infrastructure and escalating land values have further exacerbated these issues, leading to heightened competition among business owners, residents, shoppers, and clients for the limited available paid and free on-street parking spaces. Against this backdrop, the present study sought to model the determinants of motorists’ parking challenges using a recursive structural equation model (RSEM), drawing on empirical evidence from Greater Kumasi, Ghana. Primary data were collected through a structured survey involving 1000 drivers within the designated catchment area, employing cluster and systematic sampling techniques to ensure representativeness. The findings reveal that four out of five structural paths of the constructs exerted significant influences on the structural model components. Both time-related indices and parking costs demonstrated direct and indirect effects on parking challenges, with vehicle type serving as a mediating variable. Furthermore, most of the measurement models significantly impacted the latent factors, either positively or negatively, highlighting the complex interrelationships between parking behavior and underlying determinants. Overall, this study makes several contributions: it provides localized empirical evidence from a developing-country context, offers theoretical refinements to existing models, demonstrates methodological rigor through the application of RSEM, and proposes practical policy insights to address urban parking challenges in rapidly growing African cities such as Kumasi.

The rapid rise in the use of Liquefied Petroleum Gas (LPG) as an alternative vehicle fuel in Ghana presents both opportunities and risks within the national energy transition agenda. This study investigates LPG safety as well as environmental and regulatory implications using a multi-method quantitative approach that combines structured survey data, exploratory multivariate analysis (MCA), and machine learning classification (Random Forest) to uncover emerging associations and patterns in LPG safety practices. Primary data were obtained from 384 respondents, including vehicle operators, auto-technicians, regulatory officials, and LPG station attendants across five major transport zones: Kejetia, Asafo, Ahodwo, Bantama, and Suame Magazine. The MCA identified four distinct behavioural and safety profiles—At-Risk, Proactive Safety, Compliant and Equipped, and Formal and Reported—reflecting diverse compliance and risk patterns across socio-occupational groups. The Random Forest classifier achieved a predictive accuracy of 96.5% based on cross-validated performance. Sensitivity and specificity values were high, indicating reliable discrimination among incident types. To reduce the risk of overfitting, k-fold cross-validation and monitored error convergence were performed across increasing numbers of trees. While the model shows strong predictive capability, we present these results cautiously and emphasize observed associations and emerging patterns rather than definitive predictive conclusions. The findings reveal that while economic motivations underpin LPG adoption, weak institutional enforcement and widespread informal installations heighten safety vulnerabilities. Comparisons with sub-Saharan and Asian contexts underscore the need for a structured regulatory framework, mandatory certification of installers, and periodic vehicle inspections. The study contributes to the broader discourse on informal energy transitions in developing economies by demonstrating how technical and behavioural determinants interact within weak regulatory systems. Policy recommendations emphasize the integration of data-driven risk assessment tools into regulatory oversight to enhance vehicular LPG safety and sustainability.