1. The case for better data: Road Safety
Aliasgher Janmohammed (Ali)
So today I was told to talk about data that is required for RS and therefore, I won’t tell you we have the highest road fatalities in the world, we have double the world fatality rate impacting children and that pedestrians are the victims of our road fatalities

2. Case for Better Data Why do we need it?
Low road safety budget (Bishai et al., 2003)
I want to divide my presentation on two parts, firstly I want to talk about why we need good data, then speak about what good data actually is. South African Provinces allocate a small budget to road safety

3. Case for Better Data Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
Define interventions that work based on low-income area studies and localised problem. High income areas have great pedestrian infrastructure.
Source: Google Streets, 2018

4. Case for Better Data Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target.
Our data should provide information on who is being killed and how many it is per year. Are we doing better or worse every year? 2020 goal to reduce road injuries by 50%
Source: RTMC,

5. Case for Better Data Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target
Age group that should be targeted, and the time that impacts our road user
Data should tell us what specific age group to target and what time places our people at risk. That way we can provide enforcement at the right time.
Data Source: Red Cross War Memorial Hospital,

6. Case for Better Data Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target
Age group that should be targeted, and the time that impacts our road user
The days when high number of fatalities occur
The days that put our children at risk. You can see large fatalities happen during the week but rate is higher during weekend
Source: RTMC,

7. Case for Better Data Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target
Age group that should be targeted, and the time that impacts our road user
The days when high number of fatalities occur
Road Injuries information should be available too
Serious injuries are as bad as fatalities. When we have data it is completely skewed
Source: Pretoria,

8. Data source: eThekwini (2011-2017)
Case for Better Data
Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target
Age group that should be targeted, and the time that impacts our road user
The days when high number of fatalities occur
Road Injuries information should be available too
Geocoded data (I love this one!)
Geocoded data tells us where people are killed and then we can find the zones with high number of fatalities. We can basically go there and introduce interventions
Data source: eThekwini ( )

9. Data source: eThekwini (2011-2017)
Case for Better Data
Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target
Age group that should be targeted, and the time that impacts our road user
The days when high number of fatalities occur
Road Injuries information should be available too
Geocoded data (I love this one!)
Geocoded data tells us where people are killed and then we can find the zones with high number of fatalities. We can basically go there and introduce interventions
Data source: eThekwini ( )
Source: eThekwini Municipality, 2015

10. Data source: eThekwini (2011-2017)
Case for Better Data
Variable
Result
Total Crashes
192
Total Number of Children
203
Age groups involved in crashes (years)
1 to 4
5 to 9
10 to 14
15 to 17 22 85 45
Male Children (%)
61%
Female Children (%)
39%
Fatalities Count (% of Casualties)
13 (6%)
Serious Casualties Count (% of Casualties)
70 (31%)
Slight Casualties Count (% of Casualties)
140 (63%)
Total Casualties
223
Fatal and Serious Crashes, Daylight (%)
68%
Fatal and Serious Crashes, Weekday (%)
School in Session (%)
85%
Why do we need it?
Low road safety budget (Bishai et al., 2003)
Prioritise our Interventions, localised interventions
What does good data look like in road safety?
It tells us the road user to target
Age group that should be targeted, and the time that impacts our road user
The days when high number of fatalities occur
Road Injuries information should be available too
Geocoded data (I love this one!)
Information provided by Geocoded data is also valuable
The geocoded data should also provide additional information. Fatal, Serious, Slight Injuries and the age group that is affected and the time that road injuries occur
Data source: eThekwini ( )

11. *Sorry Gail for exceeding my time
Thank you*
*Sorry Gail for exceeding my time