Fig 1.
OECD countries with the highest deaths per one million population from 2000 to 2011.
Fig 2.
The deaths in accidents for OECD countries in 2011.
Fig 3.
The KMA observation network in 2011.
Fig 4.
The road accidents in South Korea from 2000 to 2012.
Fig 5.
The rainy days vs. accidents in South Korea from 2000 to 2012.
Table 1.
The rainy days and accidents on average for each month from 2000 to 2012.
Table 2.
The accidents rate by male and female drivers per annum from 2009 to 2012.
Fig 6.
The traffic flow and accidents from 2000 to 2012.
Fig 7.
The registered vehicles with road length vs. accidents from 2000 to 2012.
Table 3.
The vehicles and road vs. accidents from 2000 to 2012.
Fig 8.
The accidents by days of the week from 2000 to 2012.
Fig 9.
The accidents by type of road.
Table 4.
The accidents by type of road from 2009 to 2012.
Table 5.
The categorization of accidents based on age group of the driver from 2009 to 2012.
Fig 10.
The fatalities by age group of the drivers from 2000 to 2012.
Fig 11.
The injuries by age group of the drivers from 2000 to 2012.
Fig 12.
The accidents by day and night 2000 to 2012.
Table 6.
The accidents and fatalities during day and night from 2002 to 2012.
Fig 13.
The accidents by the time of the day from 2000 to 2012.
Table 7.
The injuries/fatalities by alcohol concentration in blood of drivers from 2009 to 2012.
Fig 14.
The accidents by alcohol concentration in blood of drivers from 2000 to 2012.
Table 8.
Total accidents by type of vehicle from 2009 to 2012.
Table 9.
The types of violations.
Table 10.
The accidents caused by severe violations.
Table 11.
The accidents caused by minor violations.
Table 12.
The percentage of accidents under the driving experience of the first party.
Table 13.
Vehicles’ traveled kilometers and number of accidents.
Table 14.
Population density and number of accidents.
Table 15.
The fatalities with driving experience, gender, day and night from 2009 to 2012.