Severity, Spatial Pattern and Statistical Analysis of Road Traffic Crash Hot Spots in Ethiopia

The reduction of traffic crashes, as well their socio-economic consequences, has captivated the attention safety professionals and transportation agencies. most important activity for an effective road practice is to identify hazardous roadway areas based on a spatial pattern analysis crashes evaluation crash relations with neighboring other relevant factors. For decades, researchers have adopted several techniques analyze historical (RTC) information using advanced GIS-based hot spot analysis. objective this study present GIS technique identifying spots autocorrelation four-year (2014–2017) data across Ethiopian regions, zones towns in Oromia region. considered corresponding severity values RTCs ranking areas. tool ArcGIS 10.5 was used patterns then Getis Ord Gi* statistics high low cluster zones. results showed that methods analysis, which incorporated Moran’s I incidents, index, proved be fruitful strategy spots. identified are along entrance exit from Addis Ababa, Ethiopia’s capital city, so responsible bodies management agencies should give top priority conduct thorough reduce effect RTCs.