## 5 Experimental Results and Analysis
### Spatial Correlation Analysis of Traffic Black Spots
#### 5.3.2 Local Moran's \(I\)  
The local Moran's \(I\) is an index used to measure the local spatial autocorrelation of each geographic unit. The local Moran's \(I\) is constructed for the traffic black spots at road intersections in the Kowloon Peninsula region of Hong Kong, and it identifies the spatial aggregation characteristics by comparing the attributes of each road intersection and its neighboring road intersections. Unlike the global Moran's \(I\), the local Moran's \(I\) can help to identify the geographic units with local aggregation of the traffic black spots at the road intersections in the Kowloon Peninsula region of Hong Kong and reveal the spatial distribution of the traffic black spots at the road intersection patterns and heterogeneity.  
The results in Table 26 indicate that there are four types of results, such as this is a traffic black spot aggregation area, a non-traffic black spot aggregation area, and so on, in the local distribution of traffic black spots at road intersections in the Kowloon Peninsula region of Hong Kong. Among them, the non-traffic black spot aggregation area is the most significant.  
\begin{table}
\begin{tabular}{c c} \hline
**Each Clustering Set** & **Number** \\ \hline High–high clustering & 599 \\ \hline High–low clustering & 20 \\ \hline Low–low clustering & 819 \\ \hline Low–high clustering & 340 \\ \hline Not significant & 741 \\ \hline \end{tabular}
\end{table}
Table 26: Number of distributions of each cluster set of localized local Moran’s \(I\) for traffic black spots.  
Figure 25: Plot of global Moran’s \(I\) result for traffic black spots.  
Figure 26 shows the spatial clustering distribution of traffic black spots at road intersections in the Kowloon Peninsula region of Hong Kong. The pink part represents the traffic black spot aggregation area, the light blue part represents the non-traffic black spot aggregation area, the red part represents the area where the traffic black spot aggregation area is surrounded by the non-traffic black spot aggregation area, and the dark blue part represents the area where the non-traffic black spot aggregation area is surrounded by the traffic black spot aggregation area. The non-traffic black spot agglomeration area is mainly concentrated on highways, where there are fewer people and buildings, and this physical environment leads to fewer traffic accidents and less possibility of becoming a traffic black spot, while the high traffic black spot agglomeration area is mainly concentrated in the Yau Tsim Mong District, where there is a dense road network, with a transportation junction, and a dense population and buildings, which have an agglomeration effect and lead to a greater probability of traffic accidents, leading it to become a traffic black spot. The probability of traffic accidents becomes greater, resulting in a higher probability of it becoming a traffic black spot. From the perspective of spatial correlation, it can be understood that the clustering area of a traffic black spot also affects the traffic safety of the surrounding area, resulting in a higher likelihood of traffic accidents.