## 4 Results and Discussion
This includes small and medium-sized urban centers and their peripheries along certain European road segments, such as the E68 sector from Sibiu to the Western border and the E60 from Cluj-Napoca to the Western border. In relation to Romania's total land area, the prominent proportion of regions falling within the impact category greater than 20,000 m, approximately 92.3%, is noteworthy. This is followed by the 5000-10,000 m category at about 5.8%, and the 1000-5000 m category at roughly 1.70%. The 200-1000 and 10,000-20,000 m categories constitute a smaller fraction, representing 0.07% and 0.03%, respectively, of Romania's total surface area. These proportions underscore the limited spatial extent of areas with high impact, a phenomenon attributable to the geographic location of incidents. Often occurring on European roads and near major urban centers, these incidents are concentrated in areas that are relatively sparse compared to the overall study area. The impact of different incident occurrence pattern of traffic incidents was examined based on the findings from the implementation of the AHP matrix. This analysis considered five factors: collisions, cars crossing, skidding/aquplaning, crashes, and falls. The primary objective was to determine the significance of these factors in the spatial integration process (Table 4). This approach helps in understanding the spatial distribution and relative weight of different types of traffic incidents across the study area. \begin{table}
\begin{tabular}{l c c c c c c} \hline \hline  & \begin{tabular}{c} **Head-On** \\ **Collisions** \\ \end{tabular} & \begin{tabular}{c} **Sideswipe/Merging** \\ \end{tabular} & \begin{tabular}{c} **Skidding/Aquaplaning** \\ \end{tabular} & \begin{tabular}{c} **Side-Impact/** \\ **Near-End Collisions** \\ \end{tabular} & \
\begin{tabular}{c} **Car Falls** \\ \end{tabular} &
\begin{tabular}{c} **Weight** \\ \end{tabular} \\ \hline Head-on collisions & 1 & 2 & 5 & 7 & 9 & 0.510 \\ \hline Sideswipe/merging & 1\% & 1 & 3 & 5 & 9 & 0.274 \\ \hline Skidding/aquplaning & 1/5 & 1/3 & 1 & 3 & 5 & 0.108 \\ \hline Side-impact/rear-end collisions & 1/7 & 1/5 & 1/3 & 1 & 3 & 0.065 \\ \hline Car falls & 1/9 & 1/9 & 1/5 & 1/3 & 1 & 0.043 \\ \hline \hline \end{tabular}
\end{table} 
Table 4: AHP score for incident occurrence pattern factors. Figure 2: Spatial distribution of cumulative impact in terms of incident severity. During the assessment of the significance of factors contributing to the spatial identification of territorial impact based on the patterns of incidents (Figure 3), collisions emerge as the most influential, accounting for 51%. They are followed by incidents involving vehicle rollovers and other types of collisions, which have weights of 27.4% and 10.8%, respectively. The lesser contributing factors are additional forms of collisions at 6.5%, and incidents resulting from falls at 4.3%. The pronounced importance of collisions and crashes significantly shapes the final analysis. Spatially, this is reflected in the relatively large proportion of impact areas within the 1000 to 10,000 m range, comprising 28.27% of the total. Conversely, the proportion of impact areas exceeding 20,000 m sees a reduction to 47.69%, while the 200 to 1000 m range experiences a slight increase of about 1.27% compared to the preceding category. This distribution shift is attributed to the greater spatial dispersion of incidents within this category across Romania. Such incidents are recorded on a wide variety of road types, leading to a more dispersed spatial impact throughout the country. The spatial analysis of impact categories distinctly reveals a high impact in most major urban centers such as Bucharest, Cluj-Napoca, Brasov, Iasi, Timisoara, Arad, Oradea, and Constanta. This is partly due to the dense local vehicle traffic that these cities generate daily.