Socio-economic progress of a society creates an additional burden on road infrastructure due to increase in the number of vehicles and in turn road crashes. The identification of road sections characterized by frequent crashes is the first step for any successful road safety management process, considering the limited available resources. Emergency Vehicle Services (EVS) is a crucial component in road crash management. This study focusses on the effective distribution of emergency vehicle service resources across a road network. Ernakulam District is taken as a case study. Sixty two black spots are identified in the study area based on accident severity weightage estimated using PTV Visum Safety. The locations of the black spots are then transferred into QGIS along with the locations of 24-h working hospitals and ambulance services in Ernakulam district. KANIV-108 ambulances are also incorporated into QGIS and a geo-spatial analysis is done to find the fastest routes between ambulance service station locations, black spots and hospitals. The sixteen black spots which cannot be reached within the platinum time are assigned to new emergency vehicle service centers proposed at proper locations identified. This work will be helpful in the efficient deployment of emergency vehicles so as to minimize the response time to a road crash in the area.