Abstract : Geospatial analysis is quite widely used in road traffic accident (RTA) prevention. The purpose of this study was to analyze the accident hot spots in Semey, Kazakhstan. Material and methods: design a cross-sectional study. 244 RTAs were analyzed for the period from January 1, 2018 to December 31, 2018. The ambient temperature at the time of the RTA was analyzed as an additional factor. An assessment of the density of the nucleus was used, as well as estimates of the hot spots for the occurrence of accidents based on the Getis-Ord Gi index. Geospatial analysis was carried out in the ArcGIS 10.7 program (ESRI, USA). Results: When assessing the core density for all RTA points, the highest density (15.7-21.8 cases per square kilometer) was obtained in the central part of the city. There are differences in the location of RTA hotspots depending on the season of the year. The worst situation is observed in the offseason, especially in October (an increase in the number of accidents to 11.1% and victims to 10.8%). Conclusion: RTA hot spots of Semey city were identified. The city government needs a plan of measures to eliminate them, as well as a set of measures to work with drivers and pedestrians, as with the two most frequent groups of participants in RTA