Traffic Safety Countermeasures According to the Accident Area Patterns and Impact Factor Analysis of the Large-scale Traffic Accident Locations
Bong‐Gi Kim, Heon-Yeong Jeong, Sang-Seon Go · Journal of the Eastern Asia Society for transportation studies/Journal of the Eastern Asia Society for Transportation Studies · 2006
This study divided the large-scale traffic accident locations into its own characteristics by using Cluster Analysis. Also, Quantification II and Classification and Regression Tree methods were used enabling evaluation for the amount of affecting influence by the crash type. After these analyses, we tested the fitness of the results and suggested the simplification of the quantification index. With the results from the discussed procedure, obvious differences were observed by groups according to the characteristics of crash type from the Discrimination and Classification analysis of divided four groups. Thus, measures and supplementary measures for the traffic accidents could be suggested in groups systematically. However, a lot of missing values in variables caused a huge loss of data and made this study difficult for more detailed analysis, With this difficulty. recording mandatory log files with a standardized format is also recommended to Prevent this Problem in advance.