Browsing by Author "Tesfaldet Sisay"

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    Gis Based Identification of Road Traffic Fatality Accident Hotspots and Hazardous Train Stations in Yeka Sub-City, Addis Ababa Ethiopia
    (Addis Abeba Universty, 2023-06-01) Tesfaldet Sisay; Teferi Mekonnen (PhD)
    Road traffic fatality accidents are single and major universal contemporary problems and problems of critical concern in Ethiopia as well owing to the increasing vehicular traffic that lead to loss of life and disruption of material goods. The main objective of this study was to explore the road traffic fatality accidents hotspots and hazardous train stations in Yeka Sub-city of Addis Ababa. This paper is used both quantitative and qualitative data and longitudinal study. The qualitative data approaches are associated with field methods such as observations of the research area to determine venerable area. The quantitative approaches are related with data of traffic accidents occurrence gathered from Addis Ababa city police stations, such as the location of traffic accidents collected by using GPS, Google Earth Pro and where quantitative data were analyzed statistically. The Spatial investigation tools, especially IDW (Inverse Distance Weight) were used to predict road traffic fatality accidents and hazardous train station accidents lengthwise the whole road set-up of Yeka sub-city. All GIS based system were employed for pinpointing, mapping and forecasting hotspots based on spatial dispersal of road traffic fatality and hazardous train station accidents. The result showed that Megenagna, Kotebe Kara and Gurd Shola Road Segment are the most risky section accidents occurrences place. Finally, IDW investigation forecast the road traffic fatalities and hazardous train station accidents sideways the whole road network of Yeka sub-city. The study was recommends that police organization should prepare different types of trainings to members on how to gather the spatial location of traffic accidents using different methods of spatial data collection like GPS and different geospatial applications available in smart phone, and Google earth pro to acquire efficient data about road traffic fatality accidents for appropriate intervention. This makes the analysis easy and more accurate.