Browsing by Author "Natnael Gizachew"

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    Assessment of Computer Vision Syndrome and Associated Factors Among Employees of Ethio Telecom in Addis Ababa, Ethiopia.
    (Addis Ababa University, 2023-11) Natnael Gizachew; Teferi Abegaz; Ansha Nega
    Background: Computer Vision Syndrome is a range of eye and vison related problems which may result from extended use of digital devices such as computers. It is a public health problem, affecting more than 70% of all computer users. In developing countries like Ethiopia, there is a scarcity of studies on computer vision syndrome, particularly in the telecom industry for evidence-based practice. Hence, the study aims to identify the determinants and the prevalence of computer vision syndrome among Ethio telecom workers in Addis Ababa, Ethiopia. Methods: Institution-based cross-sectional study was conducted among Ethio telecom employees in Addis Ababa, Ethiopia from march to June 2023. A total of 497 individuals participated in the study. Data was collected using an interview- administered questionnaire, observational checklist and an illuminance measuring instrument. Data were collected using Kobo toolbox and transferred to Statistical Package for the Social Sciences (SPSS) version 26 for analysis. Multivariable logistic regression was performed to assess the association and control for potential confounders. Results: the prevalence of computer vision syndrome in the last 12 months among the total study participants of 497 was 68.8% [95% CI (64.5, 72.9)]. In Multivariate logistic regression factors that showed significant association were viewing distance, AOR (2.32(1.24-4.33)) and task illumination AOR: (1.78(1.09-2.91)). And Habit of taking break AOR: (0.439(0.281-0.686)) and adjustment of brightness and contrast AOR: (0.39(0.22-0.68)) were also found significantly associated factors of Computer Vision Syndrome. Conclusion: More than half of employees of Ethio telecom in Addis Ababa are affected by computer vision syndrome. Viewing distance, task illumination, habits of taking breaks, and adjustment of brightness and contrast were associated significantly. Results suggest a need for remedial actions to improve conditions of work environment.
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    Examine The Influence of Ride Hailing Service on Mode Choice Behavior Among Commuters in Addis Ababa
    (Addis Ababa University, 2024-10) Natnael Gizachew; Yonas Minalu (PhD)
    This research examines the influence of ride-hailing services on public transport mode choice among commuters in Addis Ababa, Ethiopia, including both car owners and non-car owners (NCOs). As transportation systems evolve in urban areas, understanding how ride-hailing services impact the choices of all commuters is critical for developing a competitive and efficient public transport (PT) system. The study focuses on identifying the factors that drive commuters' preferences between ride-hailing services and PT, with a specific emphasis on NCOs during the modeling process, as they are more likely to shift to the newly proposed PT system. The analysis employs Chi-Square and Weibull methodologies to investigate the relationships between socio-demographic variables, service attributes, and mode choice behavior. These techniques allow for a comprehensive evaluation of commuter behavior and the timing or likelihood of mode shifts. Chi-Square analysis assesses the association between categorical variables, such as income, age, and ride-hailing preferences, while Weibull analysis examines time-to-event data, providing insights into the transition between transportation modes over time. The primary objective of the research is to develop a competitive public transport proposal that integrates the convenience and technological features of ride-hailing services, such as Time savings, comfort, and security and safety, while retaining the affordability and broad accessibility of traditional PT. The study aims to: • Examine the overall impact of ride-hailing services on commuters' mode choice behavior: Analyze how ride-hailing services have influenced transportation preferences across all commuter segments. • Identify the factors that drive the growing preference for ride-hailing services: Explore why commuters are increasingly opting for ride-hailing over PT, particularly focusing on key service attributes such as comfort and convenience. • Narrow focus to NCOs for the mode shift analysis: Assess why NCOs are more likely to transition from ride-hailing services to the proposed PT, given that they do not have the option of private car use. • Leverage Chi-Square and Weibull analysis: Apply these methods to evaluate relationships among variables and predict mode shift tendencies effectively. The findings of this research aim to provide actionable recommendations for policymakers and urban transport planners to enhance PT services and make them more competitive with ride-hailing options. By addressing the needs of NCOs and incorporating the technological advantages of ride-hailing services, this research proposes a public transport system that can effectively meet the needs of diverse commuter groups in Addis Ababa. Keywords: Ride-hailing services, public transport, mode choice behavior, Chi-Square, Weibull analysis, affordability, safety, competitive public transport, urban transportation, Addis Ababa.