Road safety in Kenya

1. ROAD SAFETY STATISTICS – 01 JANUARY
TO 06 JUNE 2015

2. In the year 2013 a total of 3218 persons were fatally injured as a
result of road crashes. This is compared to a total figure of 2907
in the year 2014. This represented a total decline of 9.66%.
2013 2014 Variance
3218 Fatally injured 2907 Fatally injured -9.66%

3. THE NUMBER OF ROAD FATALITIES SINCE
2005( Source- Kenya Police)
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
PEDESTRIANS 1242 1253 1370 1630 1755 1434 1545 1549 1482 1340
DRIVERS 251 291 273 326 435 307 289 290 284 268
PASSENGERS 590 715 840 592 1036 738 824 745 810 642
P/PASSENGERS 96 112 127 138 221 126 156 124 157 162
P/CYCLIST 310 310 276 352 322 240 173 127 134 104
M/CYCLIST 44 34 35 111 263 200 315 306 324 391
TOTAL 2533 2715 2921 3149 4032 3045 3302 3141 3218 2907

4. COMPARISON OF FATALITIES (UPTO 08
APRIL 2014/2015)
2015 2014 %VAR
PEDESTRIANS 44 335 2.69
DRIVERS 85 66 28.8
PASSENGERS 182 172 5.81
PILLION PASSENGERS 60 38 57.9
PEDAL CYCLISTS 19 22 -13.6
MOTORCYCLISTS 114 101 12.9
TOTAL 804 734 9.5

5. Comparative Bar Chart showing the
Fatalities of 2014/2015 upto 08 APRIL
PEDESTRIANS DRIVERS PASSENGERS PILLION PASSENGERS PEDAL CYCLISTS MOTORCYCLISTS
2015 344 85 182 60 19 114
2014 335 66 172 38 22 101
344
85
182
60
19
114
335
66
172
38
22
101
FATALITIES
CLASSSES OF VICTIMS
8-APR
2015 2014

6. Trends of fatal injuries since 2005
0
50
100
150
200
250
300
350
400
450
500
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
NumberofVictims
YEARS
Fatal victims trends
DRIVERS P/PASSENGERS P/CYCLIST M/CYCLIST
Rising trend of fatalities due to motorcycles.

7. JAN to 06 JUNE 2015/2014

8. COMPARISON OF FATALITIES (UPTO 06 JUNE
2014/2015)
2015 2014
%
VAR
PEDESTRIANS 570 540 5.56
DRIVERS 138 96 43.8
PASSENGERS 291 263 10.6
PILLION PASSENGERS 95 73 30.1
PEDAL CYCLISTS 29 40 -27.5
MOTORCYCLISTS 184 149 23.5
TOTAL 1,307 1,161 12.6

9. Comparative Bar Chart showing the
Fatalities of 2014/2015 upto 06 JUNE
PEDESTRIANS DRIVERS PASSENGERS PILLION PASSENGERS PEDAL CYCLISTS MOTORCYCLISTS
2015 570 138 291 95 29 184
2014 540 96 263 73 40 149
570
138
291
95
29
184
540
96
263
73
40
149
FATALITIES
06 JUNE
2015 2014

10. Pie Chart comparison of fatalities of
2014/2015(Upto 06 June of each year)
Upto 06 JUNE 2015 Upto 06 JUNE 2014
PEDESTRIANS
44%
DRIVERS
11%
PASSENGERS
22%
PILLION
PASSENGERS
7%
PEDAL CYCLISTS
2%
MOTORCYCLIST
S
14%
PEDESTRIANS
47%
DRIVERS
8%
PASSENGERS
23%
PILLION
PASSENGERS
6%
PEDAL CYCLISTS
3%
MOTORCYCLISTS
13%

11. 24 HOUR DISTRIBUTION..
60
34
29
23
29
40
56
45
34
38
42
37
48
45
42
55 57
98
72
55
78
56
39
44
0
20
40
60
80
100
120
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
NO. OF VICTIMS 2 per. Mov. Avg. (NO. OF VICTIMS)

12. • Most of fatal road traffic Crashes occur at between 1800
HRS to 2200 hours.
• Reasons:
• Reduced enforcement during these times?
• High speed traffic ?
• Motorcycles operate in the midst of darkens with no right gear –
reflective jackets hence not seen by fast flowing traffic ?
• Pedestrians cross at the non designated areas and easily get
knocked by speeding vehicles?
• Drunken Driving, Drunken Riding and Drunken Walking?

13. Distribution across the year in the last 3
years
0
50
100
150
200
250
300
350
JAN FEB MARCH APRIL MAY JUNE JULY AUG SEPT OCT NOV DEC
No.ofFtalities
Month
Distribution of fatal crashes across the calenderyear in the last 3 years.
2012 2013 2014

14. Comments
• April 2014 was the time with lowest recorded crashes in
the last 3 years
• General peak of road traffic crashes in the months of Dec-
Jan, August, and April in 2012 and 2013.This roughly
translates to holidays.

15. Fatal crash contribution by vehicle type-
2014
Motor cycle
18%
Commercial vehicle
16%
Private vehicle
15%
PSV
42%
Unknown motor vehicles
7%
Others
2%
2014 distribution of Fatal Crashes by vehicle type

16. Vehicle Type..
• PSV contributes to fatal Road Crashes more than any
vehicle type
• Followed by Motorcycles! And noted to be increasing over
the last few years
• Combined contributions of motorcycles and PSV is 60%.
• The followed by HCV and Private at 16% and 15 %
respectively.

17. DISTRIBUTION ACROSS THE WEEK-JAN to 06
JUNE 2015
DAYS NO. OF VICTIMS
Saturday 226
Friday 198
Thursday 196
Sunday 193
Monday 155
Wednesday 143
Tuesday 130
TOTALS 1241
Saturday
18%
Friday
16%
Thursday
16%
Sunday
16%
Monday
12%
Wednesday
12%
Tuesday
10%
% DISTRIBUTION ACROSS THE WEEK

18. Leading causes of accidents
CAUSE CODE NO. OF VICTIMS
1Losing control 157
2Cause not traced 134
3Overtaking improperly 117
4Excessive speed 95
5Error of judgement 75
6stepping,walking or running off 66
7failing to keep to near side 62
8Misjudging clearance, distance 62
9Crossing road not masked by stationary vehicle 42
10Turning right without due care 23
11Pulling out from near side or from, traffic lane 22

19. Causes of Crashes-contribution to fatalities
0
20
40
60
80
100
120
140
160
157
134
117
95
75
66 62 62
42
23 22
FATALITIES

20. Types of crashes by vehicle type and
counterpart/s-(Jan-06 June 2015)
TYPE OF VEHICLE NO. OF VICTIMS
PRIVATE 270
COMMERCIAL 237
UNKNOWN 173
PSV 168
MOTOR CYCLE 90
PRIVATE & COMMERCIAL 60
COMMERCIAL VEHICLE & MOTOR CYCLE 56
PSV & COMMERCIAL VEHICLE 55
PRIVATE & MOTOR CYCLE 48
PSV & MOTOR CYCLE 30
PSV & PRIVATE 21
GOVERNMENT 14
GOVERNMENT & MOTOR CYCLE 3
PRIVATE & TRI CYCLE 3
TRI CYCLE 3
COMMERCIAL & TRI CYCLE 2
MOTOR CYCLE & UNKNOWN 2
COMMERCIAL & UNKNOWN 1
COMMERCIAL,PSV & PRIVATE 1
MOTOR CYCLE & GOVERNMENT 1
PEDAL CYCLE 1
PRIVATE & GOVERNMENT 1
PRIVATE & UNKOWN 1
TOTAL 1241

21. Types of crashes by vehicle type and
counterpart/s- Graphically
270
237
173 168
90
60 56 55 48
30
21 14
3 3 3 2 2 1 1 1 1 1 1
0
50
100
150
200
250
300
FATALITIES

22. Distribution-JAN to 06 JUNE 2015
291
93
54
51
46
43
42
40
38
33
32
32
30
29
28
26
24
24
23
21
21
20
18
18
16
14
14
14
12
11
11
9
9
7
7
6
5
5
5
3
3
2
21
1
1
1
1
1
NAIROBI
NAKURU
KAKAMEGA
MOMBASA
MACHAKOS
KISUMU
MERU
BUNGOMA
KIAMBU
KILIFI
KAJIADO
MAKUENI
KISII
KERICHO
HOMABAY
EMBU
NAROK
TAITATAVETA
BARINGO
SIAYA
VIHIGA
MURANGA
BUSIA
KIRINYAGA
NYERI
BOMET
KWALE
WAJIR
NANDI
NYANDARUA
TRANSNZOIA
MIGORI
THARAKANITHI
GARISSA
ISIOLO
MARSABIT
KERUGOYA
KITUI
NYAMIRA
LAIKIPIA
WESTPOKOT
ELGEYOMARAKWET
UASINGISHU
ELGEOMARAKWET
KOIBATEK
MALINDI
MANDERA
NYANDARWA
FATALITIES
COUNTY DISTRIBUTION

23. High risk roads -2014
Nakuru FATALITIES
• Eldoret Nakuru 33
• Nairobi Nakuru 35
Nairobi
• North Airport Road 18
• Eaastern By Pass 28
• Jogoo Road 30
• Ngong Road 13
• Mbagathi way 8
• Waiyaki way 50
• Mombasa Road 77
• Thika Super Highway 66
Machakos
• Nairobi Mombasa Road 26
• Machakos Kitui 8

24. 561 Fatal Injury in NBI in 2014
ROAD FATALITIES
North Airport Road 18
Eaastern By Pass 28
Jogoo Road 30
Ngong Road 13
Mbagathi way 8
Waiyaki way 50
Mombasa Road 77
Thika Super Highway 66
Rest of NBI roads 271

25. High Risk Roads in Kenya-Jan-06 June 2015
ROADS NO. OF VICTIMS
NAIROBI MOMBASA 130
THIKA SUPER HIGHWAY 25
EASTERN BY PASS 21
NAIROBI NAIVASHA 16
ELDORET NAKURU 15
EMBU MERU 14
KANGUNDO 14
JOGOO ROAD 14
KISII KEROKA 13
NORTHERN BY PASS 13
ELDORET WEBUYE 12
MERU NKUBU 12
NAKURU ELDORET 12
EMBU MWEA 10
WAIYAKI WAY 10
KENDU BAY KATITO 9
KISUMU BUSIA 9
KAKAMEGA WEBUYE 8
NAIROBI NAKURU 8
GILGIL NAKURU 7
KAKAMEGA MUMIAS 7
TOTAL 379
These roads
contribute to 31% of
1241 fatalities since
Jan 2015 !

26. TOP 20 ROADS WITH HIGH FATALITIES
130
25
21
16 15 14 14 14 13 13 12 12 12 10 10 9 9 8 8 7 7
JAN- JUNE 06 2015

27. What NTSA is doing
• Data driven interventions and programmes
• Needs multiagency and multi-sectoral collaborations
• Data shows there is potential to have targeted interventions
based on
• Vehicle Type
• Victims/Road User Type
• Time of the Day
• Time of the Week
• Month of the year
• High Risk Roads
• County/area
• Gender of the Road User
• Age of the road users

28. Specific Interventions
Basically around
• Enhanced and high visibility enforcement
• Targeted communications
• Implementation of the motorcycle regulations
• Infrastructural and engineering treatments of the high risk
roads especially in Nairobi-to be done thro interagency
collaborations