Oman has one of the highest global fatality rates due to road accidents with 30.4 fatalities per 100,000 inhabitants most of them occurred in its capital city Muscat (WHO, 2013). Since 2000, the planning and safety authorities in the country have taken different safety measures but the improvement is not yet apparent. One reason for this could be the lack of knowledge in terms of spatial and temporal distribution of car accidents in the country. Geographical Information Systems (GIS) provides advanced spatial analyses capabilities that could fill that gap and lead to much more efficient mitigation strategies. In order to demonstrate this, general data sets of Muscat accidents at a national scale from 2013 – 2015 have been analyzed using GIS and some patterns were spotted. Muscat, the capital of Oman, and it is divided to six wards. It became apparent that the analytical options available for the Muscat datasets are currently limited. To highlight this in more detail, road accident data from Portsmouth containing 2600 records from 2013 – 2015 was also analyzed. Unlike the Muscat dataset, each of these records contains the geographic location, i.e. Easting and Northing, along with other non-spatial data. It became clear that having such positional accuracy allows GIS to analyses the data spatially using a variety of tools. For instance, it was possible to identify hot spots and map evening rush hour distributions of accidents. This would have not been possible without the availability of detailed and accurate data and the use of GIS technology. Such awareness should give safety and traffic authorities a platform to implement the correct precautionary provisions and measures to enhance road safety. Therefore, the study advises concerned authorities in Muscat to consider capturing accurate location of accidents and to study the viability of GIS as a cooperative platform for road safety initiatives in the city.