Identifying Black Spot Accident Zones using a Geographical Information System on Kombolcha-Dessie Road in Ethiopia

Autor:
Tola, A. M.; Gebissa, A.
In:

International Journal of Sciences: Basic and Applied Research (IJSBAR)

Bandangabe: 48
Auflage: 1
ISBN: 2307-4531
Seite: 66 - 79
Jahr: 2019

Einordung:
Institut: Professur Geotechnik und Küstenwasserbau

Abstract:
The rate of traffic accidents is growing rapidly in Ethiopia. This paper illustrates the advantages of using a geographical information system (GIS) to identify so-called black spot locations, which would be the initial and most crucial step in the road safety analysis. This study has identified black spot accident locations in the South Wollo Zone, Ethiopia, using the Kombolcha-Dessie road segment, by using ArcGIS software as a hotspot analysis tool. Five years (2012-2016) worth of accident data history on Kombolcha-Dessie road was collected to identify locations with a higher rate of crash occurrences. This entire block of accident data was spatially distributed on the digitized map of the road (including the crash occurrence sites) and the respective weight based on their accident severity was applied. The hotspot analysis result identified five (5) accident hotspot locations. These are; Kombolcha town roundabout-1, ‘Tita’ curve in Dessie town, ‘Kobo-Gedel’ in Dessie town, entrance to ‘Awscod’ enterprise in Kombolcha town and a place named ‘Arego’ S-curve are the prioritized crash hotspot locations respectively.
The study suggested that for the identification of accident-intensive prone zone, the use of geographical information system is an inevitable tool due to its advantageously accurate and quick identification of hazardous locations based on statistical significance and the ease with which a result can be presented on a single Map.
Keywords: Black spot; Crash; Ethiopia; Getis-Ord Gi*; GIS.

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Letzte Änderung des Eintrages: 05.02.2020

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