Browsing by Author "Nassimbwa, Florence"

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Human factors and accidents of aviation operations in eastern Africa
(Kyambogo University [unpublished work], 2023-10) Nassimbwa, Florence
Safety performance is much poorer in developing countries when one compares to other countries worldwide, despite the fact that the aviation crews in these countries are trained with the aim of minimizing aviation accidents. The accidents are due to errors caused by failure in the human biological functionality which is totally related to our anthropometric limitations, physiology and anatomy, among others. These include; oxygen carrying capabilities/ hypoxia, hyperventilation, blind spots in the eye, disorientation in relation to the human's position in space, motion sickness, illusions, barotrauma, decompression sickness, circadian dysrhythmias, drugs/medication, sleep disorders, weight, fatigue, stress and many others. Therefor this study set out to investigate the human factor risks and accidents in Eastern Africa region aviation operations. A cross sectional research design was applied and quantitative data collected using a survey. The sampling procedure included both purposive and random sampling techniques used to draw a representative sample of aviation stake holders. Data from 42 Ugandan and Kenyan accident and incident final investigation reports from 2000- 2017 was analyzed. Results indicated that skill based errors in Kenya were 44% and in Uganda 50%, whereas decision errors in Kenya were 45% , Uganda 25% and perceptual errors and violation in Uganda were 25% and in Kenya 11% while exceptional violations were Kenya 77% and Uganda 81%. MLogit model showed significance at P<0.001, in the manner with which one flies, exceptional violation, supervisory violations and organizational processes. Examining of the current human factor risks in the region’s aviation operations showed that there are risks in quality control analysis (P= 0.023) and troubleshooting abilities (P= 0.02). Quality control analysis and troubleshooting abilities had a significant effect on the ability to predict skills required for the job (P < 0.05). The significant aeromedical factors included sleep (P=0.005), high levels of anxiety (P= 0.021), shortness of breath (P=0.011) and cigarette smoking (P<0.001). The Geographical Information Systems (GIS) tool captured latent human factors risks through ranking 40 randomly selected airports in the region, while the distress thermometer captured active risks which included health, stress (domestic and work related), fitness, deadlines and time pressure, sleep disorders, fatigue and pain. It can be concluded that both Kenya and Uganda had high levels of unsafe acts, although Kenya had a higher percentage. Four significant aeromedical factors were captured in the existing aeromedical factors in the region. Consequently, training and its evaluation plus the use of a regional adaptive curriculum that increases individual’s skills and reduces the emerging unsafe acts, and Uganda publicizing final accident and incident investigation reports on the responsible ministry (Works and Transport) website are recommended. Using the GIS tool and the distress thermometer to detect latent and active human factor risks pre-flight and on ground to assess the state of the crew members and environment before one embarks on a task is also recommended. Map of airports and aerodromes with high human factors risks in Kenya Map of airports and aerodromes with high human factors risks in Kenya Map of airports and aerodromes with high human factors risks in Kenya.
Identification and modeling human factors risks in Kenyan and Ugandan aviation operations
(African Journal of Education Science and Technology (AJEST), 2025-12-18) Nassimbwa, Florence; Twesigye, Charles Kakuhikire; Asio, Santa Maria
Safety performance is much poorer in developing countries when one compares to other countries worldwide,despite the fact that the aviation crews in these countries are well trained with the aim of minimizing aviation accidents. Research on accident patterns in aviation is very important because the prediction of their occurrence is not possible after flight or after a collision. The need to identify significant human factor events causing local aviation accidents and incidents and to demonstrate aerobiological causes may provide direction for prevention. A study set out to identify and model human factors risk in Kenyan and Ugandan aviation operations. A document review analysis selected 42 regional final accident and incident investigation reports between 2000- 2017 for review. Results identified that most accidents in both countries were occurring at the landing phase with improper landing as the highest occurrences at 28%, followed by takeoff accidents with improper planning at 10% and lastly engine failure during flight at 10%. MLogit model for Kenya showed significance at P<0.001, in the manner with which one flies, exceptional violation, supervisory violations and organizational processes. Findings showed that the region’s operations have unsafe acts as the highest category of active failures. The commonest unsafe acts were exceptional violations and skill based errors (manner or skill with which one flies).The study identified that most accidents in both countries were occurring at the landing phase with other significant ones at takeoff and during flight phase. In all it is recommended that the aviation training and its evaluation be progressively reevaluated by the respective authorities to increase individual’s skills and further reduce the emerging unsafe act.