road traffic statistics - durban · this report consists of two sections, accident statistics and...
TRANSCRIPT
1
ETHEKWINI
TRANSPORT AUTHORITY (ETA)
ROAD ACCIDENT STATISTICS AND ROAD TRAFFIC VOLUMES
2008-2009
This report presents a summary of road traffic accident statistics and road traffic volumes in the eThekwini Municipal Area. Information contained herein may be reproduced provided that the source is acknowledged. The eThekwini Transport Authority cannot be held liable for any consequence arising from the use of this information either direct or otherwise. All of the road accidents referred to in this report took place on public roadways unless otherwise stated. In recent years there have been some instances of false claims against the Road Accident Fund supported by accident reports with fictitious or inflated personal injuries. This practice may have impacted to a certain extent on casualty statistics for the eThekwini Municipal Area over the past few years.
2
CONTENTS INTRODUCTION ................................................................................................... 3 1. ACCIDENT STATISTICS ............................................................................... 3
1.1. Trends in Accidents .............................................................................. 3 1.2. Trends in Casualties ............................................................................. 4 1.3. Accidents by Road Type ....................................................................... 5 1.4. Accident Costs ...................................................................................... 8 1.5. Fatalities by Road User Group ............................................................. 9 1.6. Fatalities by Road User Group by Age .............................................. 10 1.7. Fatalities by Age and Gender ............................................................. 11 1.8. Child and Adult Casualties related to Mode of Travel ...................... 15 1.9. Drivers Involved in Accidents by Age Group ................................... 16 1.10. Trends in Pedestrian Accidents ..................................................... 16 1.11. Age Distribution of Pedestrians involved in Accidents ............... 17 1.12. Total Pedestrian Casualties ............................................................ 17 1.13. Pedestrians Killed in Accidents by Vehicle Type-2009 ................ 18 1.14. Pedestrians Injured in Accidents by Vehicle Type-2009 .............. 18 1.15. Vehicle Accidents by Type.............................................................. 20 1.16. Accident Type by Day of Week ....................................................... 21
2. TRAFFIC VOLUMES ................................................................................... 22 2.1. Traffic Volume Growth ........................................................................ 22 2.2. Top 10 Busiest Signalised Intersections for all Vehicles in eThekwini ........................................................................................................ 23 2.3. Top 10 Busiest Intersections by Vehicle Type.................................. 23
3
INTRODUCTION This report consists of two sections, Accident Statistics and Traffic Volumes. The Accident Statistics section is based on accident reports submitted to the South African Police Services by members of the public involved in accidents. The accident reports are captured and stored on the Accident Database called “Impact”. This database has edit checks for accuracy. Computer tabulations and summaries are again checked for accuracy before information is released or disseminated. It is intended that the information presented in this report will assist road safety practitioners by highlighting some of the road safety problems currently being experienced. The Traffic Volume section is based on classified vehicle counts at intersections. This type of survey records all the vehicle movements at an intersection classified by car, minibus-taxi, heavy vehicle and bus. Classified intersection surveys are usually conducted during school term from Mondays to Thursdays over a 12-hour period (from 06h00 to 18h00). 1. ACCIDENT STATISTICS
1.1. Trends in Accidents
YEAR
NUMBER OF ACCIDENTS
Fatal Serious Slight Damage
only Total
Accidents
2000 496 2413 7751 42671 53331
2001 537 2620 10312 41038 54507
2002 635 2674 10309 41466 55084
2003 665 2824 9580 42971 56040
2004 720 2826 9467 43689 56702
2005 656 2497 9387 47165 59705
2006 613 3104 10521 50244 64482
2007 605 3659 13901 54107 72272
2008 492 3282 14873 51709 70356
2009 523 3051 11294 52809 67677
There was a statistically significant increase in fatal accidents of 6 percent from 492 in 2008 to 523 in 2009.
4
1.2. Trends in Casualties
YEAR
CASUALTIES
Fatal Serious Slight Total
Casualties
2000 545 3188 11645 15378
2001 609 3715 17406 21730
2002 714 3860 16381 20955
2003 753 3917 14710 19380
2004 789 4048 14419 19256
2005 719 3260 13423 17402
2006 708 4064 15385 20157
2007 683 4790 20207 25680
2008 534 4330 22529 27393
2009 579 4078 15892 20549
There was a statistically significant increase in fatalities of 8 percent from 534 in 2008 to 579 in 2009.
Total Accidents and Casualties in eThekwini: 2000- 2009
6448267677
27393
20549
7035672272
5970556702
56040550845450753331
2015725680
1740219256193802095521730
15378
0
10000
20000
30000
40000
50000
60000
70000
80000
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
Year
Ac
cid
en
ts/C
as
ua
ltie
s
Total Accidents
Total Casualties
There was a 3.8 percent decrease in total accidents from 70356 in 2008 to 67677 in 2009; however total casualties decreased by 24.9 percent from 27393 in 2008 to 20549 in 2009.
5
Accident Rate:eThekwini
64482
72272
70356
67677
544500
557391
551840
560175
577024
616818
665229
713272
725136
733305
53331
54507
55084
56040
56702
59705
92
97 97
101
98 98
100 100
97
98
0
100000
200000
300000
400000
500000
600000
700000
800000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Year
Accid
en
ts/V
eh
icle
Po
pu
lati
on
84
86
88
90
92
94
96
98
100
102
104
Accid
en
t R
ate
Total Accidents Total Vehicle Population Acc. Rate per 1000 vehicles
The total vehicle population trend line shows a general increase. Although the accident rate per thousand vehicles increased from 97 in 2006 to 101 in 2007 it decreased to 97 in 2008 and decreased further to 92 in 2009.
1.3. Accidents by Road Type
There are five main classes of roads: 1. Class 1 – Freeways
These roads carry large volumes of traffic making relatively long distance trips. Generally the physical characteristics are divided (dual) carriageways with grade separated intersections, a 120km/h design speed and they have no direct access to properties.
2. Class 2 – Arterials
These roads supplement freeways forming the primary road network within an urban area. The physical characteristics are divided (dual) carriageways or at least 4 lane roads, intersections are usually at grade and signal controlled, 80km/h design speed, limited access to properties often via parallel service roads.
3. Class 3 – Distributors These roads distribute traffic between the various major land-use development areas linking arterials and freeways to the Class 4 roads. These roads have slightly lower design standards/capacities than major arterials with correspondingly lower running speeds and traffic volumes.
6
4. Class 4 –Collectors These roads distribute traffic within the residential development areas and in fact are the “main roads” in such areas providing the main circulation routes within residential areas. The physical characteristics are single carriageway roads two lanes wide.
5. Class 5 – Local Roads These roads provide access to residential properties. The physical characteristics are single carriageway roads two (or sometimes less) lanes wide.
The following pie charts depict the total accidents, fatal accidents, pedestrian accidents and pedestrian fatalities reported in eThekwini during 2009 according to the type of road on which they have occurred.
Total Accidents in eThekwini by Road Type 2009
66%
8%
9% 11%
6%Freew ays
Arterials
Distributors
Collectors
Local Roads
Total Accidents=66714
7
Fatal Accidents in eThekwini by Road Type 2009
5%
7%
54%
10%
24%
Freew ays
Arterials
Distributors
Collectors
Local Roads
Total Fatal Accidents=515
Pedestrian Accidents in eThekwini by Road Type 2009
12%
68%
3%
4%
13%Freew ays
Arterials
Distributors
Collectors
Local Roads
Pedestrian Accidents=6598
Pedestrian Fatalities in eThekwini by Road Type 2009
6%
6%
57%
9%
22%
Freeways
Arterials
Distributors
Collectors
Local Roads
Pedestrian Fatalities=328
Overall the majority of accidents occurred on distributor roads. Freeways generally accounted for a small proportion of accidents but a significant proportion of these accidents were fatal. Pedestrians accounted for the majority of fatalities. A quarter of pedestrian fatalities occurred on freeways, highlighting the problem of pedestrian activity on freeways.
8
1.4. Accident Costs During 2008 the estimated cost of all accidents was R11 232 546.42 million per day and during 2009 an estimated R11 745 856.45 million per day. The accident costs used are based on a model developed by the CSIR. This „cost‟ is derived by assigning a monetary value in rands to accidents of varying degree using variables such as medical costs, vehicle damage, property damage but excluding hidden costs such as trauma, grief, suffering, etc since these are difficult to quantify.
Accident Costs:eThekwini
R 2.30
R 0.77
R 0.74
R 0.37
R 2.06
R 0.92
R 0.71
R 0.41
R 0.00 R 0.50 R 1.00 R 1.50 R 2.00 R 2.50
DAMAGE ONLY
SLIGHT
SERIOUS
FATAL
Billion
2008
2009
Damage only accidents are accidents where no personal injury occurred. This type of accident continues to account for around half of all accident costs.
9
Cost of Pedestrian Accidents:eThekwini
R 21
R 287
R 22
R 427
R 247
R 396
R 427
R 284
R 0 R 100 R 200 R 300 R 400 R 500
DAMAGE ONLY
SLIGHT
SERIOUS
FATAL
Million
2008
2009
Pedestrian accidents account for around half of the cost of accidents involving injury.
1.5. Fatalities by Road User Group
The number of fatalities per road user group is shown in the following histogram:
Fatalities by Road User Group
103 11812383
348 338
0
50
100
150
200
250
300
350
400
2008 2009
Year
Nu
mb
er
of
Fata
liti
es
Drivers
Passengers
Pedestrians
Pedestrian fatalities decreased by 3 percent from 348 in 2008 to 338 in 2009, passenger fatalities increased by 42% from 83 in 2008 to 118 in 2009 and the number of driver fatalities increased by 19 percent from 103 in 2008 to 123 in 2009.
10
1.6. Fatalities by Road User Group by Age The following chart shows the fatalities by age for drivers involved in all accidents in eThekwini:
Driver Fatalities by Age
01 1
13
10
12
65
7 7
32
1 10 0
4
15
20
16
18
67
3
0
5
1 1
0
5
10
15
20
25
5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70+
Age Group
Nu
mb
er
of
Fata
liti
es
2008
2009
Nineteen percent of the drivers that died in 2008 were in the 20 to 24 age category, whilst the highest number of driver fatalities reported in 2009 was in the 25 to 29 age category which is 21 percent. The total driver fatalities were 69 in 2008 and 96 in 2009 reflecting a 39 percent increase.
Passenger Fatalities by Age
2
0
6
8
4
6
21 1
9
1 10
3
9
67
19
11
7 7
4
8
3 3
0 0
6
0
5
10
15
20
5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70+Age Group
Nu
mb
er
of
Fata
liti
es
2008
2009
Twenty percent of the passenger fatalities in 2008 were in the 50 to 54 age category, whilst the highest number of passenger fatalities reported in 2009 was in the 20 to 24 age category which equates to 21 percent and the second highest age category being the 25 to 29 age category with 12 percent. The total passenger fatalities were 44 in 2008 and 90 in 2009 reflecting a 105 percent increase.
11
Pedestrian Fatalities by Age
19 18
13
24
3230
1613 14
911 12
57
23
1214
41
27 27
1821
15
119 8
12
34
0
5
10
15
20
25
30
35
40
45
5-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70+
Age Group
Nu
mb
er
of
Fata
liti
es
2008
2009
During 2008, the 25 to 29 age category accounted for 14 percent of pedestrian fatalities. In 2009 the highest number of pedestrian fatalities occurred in the 20 to 24 age category (15 percent), whilst 13 percent occurred in the 25 to 29 age group. The total pedestrian fatalities were 223 in 2008 and 272 in 2009 reflecting a 22 percent increase. Overall, the number of fatalities in 2009 shows a statistically significant increase. The distribution of fatalities by age, however, continues to show that the 20 to 34 age group accounts for a disproportionate share of driver, passenger and pedestrian fatalities. 1.7. Fatalities by Age and Gender
The number of persons killed in collisions in 2009 is shown by age and gender in the accompanying table. There were 418 males versus 137 females killed. Thirty one percent of males killed in traffic collisions in 2009 were in the 20 to 29 year old age group, whilst 25 percent of the females killed were in the 20 to 29 year old age group.
AGE FEMALE MALE UNKNOWN TOTAL
0-9 18 29 1 48
10-19 15 27 1 43
20-29 29 109 1 139
30-39 9 91 0 100
40-49 21 41 1 63
50-59 9 27 0 36
60-69 6 16 1 23
70+ 10 9 0 19
Unknown Age 20 69 19 108
Total 137 418 24 579
12
Fatalities by Age and Gender - 2009
15
29
9
21
9 610
29 27
91
41
27
169
18
109
0
20
40
60
80
100
120
0-9 10-19 20-29 30-39 40-49 50-59 60-69 70+
Age
Nu
mb
er
of
Fa
taliti
es Female
Male
15%
8%
13%
8%
25%
31%
8%
26%
18%
12%
8%8%5%
5%
9%
3%
0%
5%
10%
15%
20%
25%
30%
35%
% o
f F
ata
liti
es
0-9 10-19 20-29 30-39 40-49 50-59 60-69 70+
Age
Fatalities by Age and Gender - 2009
Female
Male
In 2009, over 500 fatalities occurred on the roads in eThekwini. Although males account for around half of the population they account for three quarters of these fatalities. Considering the distribution by age, female fatalities were unevenly distributed up to the age of 30 and this age group accounts for half of the female fatalities. However, the majority of male fatalities were between the ages of 20 to 39, displaying a skewed distribution.
13
Driver Fatalities by Age and Gender - 2009
21
0
4
30
32
12
3
7
109
4
0
0
5
2
1
0
0
12
0 20 40 60 80 100 120
Unknown
0-9
10-19
20-29
30-39
40-49
50-59
60+
Total
Ag
e G
rou
p
Number of Fatalities
Female
Male
The highest numbers of female driver fatalities during 2009 were in the 20 to 29 age category (42 percent), whilst the highest number of male driver fatalities was in the 30 to 39 age category (29 percent). It is however important to note that there was a high percentage of unknown driver fatalities.
Pedestrian Fatalities by Age and Gender - 2009
37
20
15
60
48
26
21
16
243
14
10
10
13
4
11
6
12
80
0 25 50 75 100 125 150 175 200 225 250 275
Unknown
0-9
10-19
20-29
30-39
40-49
50-59
60+
Total
Ag
e G
rou
p
Number of Fatalities
Female
Male
In 2009 over 300 pedestrian fatalities occurred, accounting for two thirds of all road accident fatalities in eThekwini. Again males accounted for a disproportionately high number of these fatalities.
14
Passenger Fatalities by Age and Gender - 2009
14
9
8
19
11
3
69
5
8
5
11
3
9
3
4
48
3
2
0 10 20 30 40 50 60 70 80
Unknown
0-9
10-19
20-29
30-39
40-49
50-59
60+
Total
Ag
e G
rou
p
Number of Fatalities
Female
Male
The highest numbers of female passenger fatalities during 2009 were in the 20 to 29 age category (42 percent), whilst the highest number of male passenger fatalities was in the 30 to 39 age category (29 percent). It is however important to note that there was a high percentage of unknown passenger fatalities.
15
1.8. Child and Adult Casualties related to Mode of Travel
CHILD AND ADULT CASUALTIES RELATED TO MODE OF TRAVEL ETHEKWINI
CHILDREN (16 AND UNDER) ADULTS (OVER 16) UNKNOWN AGE
TOTAL DEATHS SERIOUS SLIGHT TOTAL DEATHS SERIOUS SLIGHT TOTAL
2008 2009 2008 2009 2008 2009 2008 2009 2008 2009 2008 2009 2008 2009 2008 2009 2008 2009
MOTOR CAR 547 300 1 14 34 42 512 244 10555 8064 95 111 1173 1054 9287 6899 78 195
COMBI/MINBUS/MINIBUS TAXI 93 62 2 2 17 16 74 44 3270 2109 21 18 503 442 2746 1649 55 145
LIGHT DELIVERY VAN 106 67 1 6 19 26 86 35 2360 2021 32 54 287 376 2041 1591 30 65
HEAVY COMMERCIAL VEHICLE & ARTICULATED VEHICLE 9 7 0 2 2 2 7 3 327 282 5 9 55 53 267 220 7 10
BUS 8 1 0 0 0 0 8 1 181 117 4 3 27 19 150 95 4 26
MOTOR CYCLE 8 7 0 1 2 2 6 4 397 321 7 8 90 68 300 245 3 17
BICYCLE 20 15 2 1 3 2 15 12 140 107 4 4 31 16 105 87 7 12
PEDESTRIAN 1327 1069 50 48 358 302 919 719 7725 5318 293 281 1674 1487 5758 3550 81 150
OTHER 0 1 0 0 0 0 0 1 9 5 1 0 3 2 5 3 0 0
UNKNOWN 1 4 0 0 0 1 1 3 45 52 1 1 8 19 36 32 1 1
TOTAL 2119 1533 56 74 435 393 1628 1066 25009 18396 463 489 3851 3536 20695 14371 266 621
Total child casualties decreased by 28 percent from 2008 to 2009. The total number of child deaths (16 and below) increased by 32 percent from 56 in 2008 to 74 in 2009. A 26 percent decrease has occurred in the adult casualties from 25009 in 2008 to 18396 in 2009. The number of adult deaths shows an increase of 6 percent from 463 in 2008 to 489 in 2009. Adult driver casualties by motor car decreased by 15 percent from 7567 in 2008 to 6423 in 2009. Adult passenger casualties by motor car decreased by 45 percent from 2988 in 2008 to 1641 in 2009, adult passenger casualties by combi/minibus/minibus taxi decreased by 45 percent from 2278 in 2008 to 1257 in 2009, and adult passenger casualties by bus decreased by 32 percent from 106 in 2008 to 72 in 2009. Child passenger casualties by motor car decreased by 45 percent from 547 in 2008 to 300 in 2009, child passenger casualties by combi/minibus/minibus taxi decreased by 33 percent from 93 in 2008 to 62 in 2009, and child passenger casualties by bus decreased by 88 percent from 8 in 2008 to 1 in 2009.
16
1.9. Drivers Involved in Accidents by Age Group
Drivers Involved In Accidents By Age Group
29520
28235
19660
11808
6437
29927
28957
20232
11715
6034
0 5000 10000 15000 20000 25000 30000 35000
Under 30
30 - 39
40 - 49
50 - 59
60 and over
Ag
e G
rou
p
Number of Accidents
2008
2009
Thirty one percent of accidents involved drivers under the age of 30 years during 2008 and 2009. 1.10. Trends in Pedestrian Accidents
Total Pedestrian Accidents in eThekwini:
2000 - 2009
6299 66207074
63556883685972377518
9731
10081
410
338309 348
424406
454441
421
361
0
2000
4000
6000
8000
10000
12000
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009
Year
To
tal P
ed
. A
cc
.
0
100
200
300
400
500
600
700
800
900
1000
Fa
tal P
ed
. A
cc
.
Total Ped. Acc. Fatal Ped. Acc.
The high number of pedestrians involved in accidents is a cause for concern. During 2008, 9731 pedestrians were involved in accidents of which 348 died and 2045 were seriously injured. In 2009, 7074 pedestrians were involved in accidents of which 338 pedestrians died and 1818 were seriously injured.
17
1.11. Age Distribution of Pedestrians involved in Accidents
Age Distribution of Pedestrians involved in Accidents
600
653
1061
783
650
378
168
74
718
857
1678
1400
1155
657
225
103
0 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 1500 1600 1700 1800 1900 2000
0-9
10-19
20-29
30-39
40-49
50-59
60-69
70+
Ag
e G
rou
p
Number of Pedestrians
20082009
1.12. Total Pedestrian Casualties
Total Pedestrian Casualties
4381
1818
338
6739
2045
348
0 2000 4000 6000 8000
Slight
Serious
Fatal
Number of Casualties
2008
2009
18
1.13. Pedestrians Killed in Accidents by Vehicle Type-2009
Pedestrians Killed in Accidents by Vehicle Type-2009
MOTOR CAR
43.2%
LIGHT DELIVERY
VAN
16.1%
HEAVY
COMMERCIAL
VEHICLE
4.2%
ARTICULATED
VEHICLE
2.1%
UNKNOWN
9.8%BUS
2.1%
COMBI/MINIBUS/MINI
BUS TAXI
22.6%
Forty three percent of pedestrians killed were by motor cars, 23 percent killed were by combi/minibus/minibus taxis and 16 percent of the pedestrians killed were by light delivery vans during 2009. 1.14. Pedestrians Injured in Accidents by Vehicle Type-2009
Pedestrians Injured in Accidents by Vehicle Type-2009
BUS
1.8%
HEAVY COMMERCIAL
VEHICLE
1.5%
ARTICULATED
VEHICLE
0.8%
MOTOR CYCLE
0.4%
COMBI/MINIBUS/
MINIBUS TAXI
23.0%
BICYCLE
0.0%
LIGHT DELIVERY VAN
13.6%
TRACTOR/ MOBILE
EQUIPMENT/ TRAILER
0.1%
UNKNOWN
7.5%
MOTOR CAR
51.2%
19
Motor cars, combi/minibus/minibus taxi and light delivery vehicles are mostly involved in pedestrian accidents. Fifty one percent of pedestrians were injured in accidents by motor cars, 23 percent by combi/minibus/minibus taxi, 14 percent by light delivery van and 2 percent by bus. Analysis reveals that 29 percent of the pedestrians involved in accidents were children thereby making them a high-risk category. To reduce the high occurrences of pedestrian accidents and to increase road safety awareness, the ETA has implemented the Road Safety School Awareness campaign at various primary schools within the eThekwini Municipal Area. The programme commenced in 2005 and is ongoing. The School‟s Road Safety Campaign aims to educate school children in order to reduce the number of pedestrian accidents occurring in residential areas. This is done via a road safety drama presentation. The Road Safety Drama presentation teaches the correct procedure to follow when crossing the road and when travelling in or alighting from and boarding buses and taxis. This programme is presented in a fun filled manner that is both stimulating and interactive for the learners. Approximately 495 000 learners have been educated thus far with a majority of the schools having been completed.
20
1.15. Vehicle Accidents by Type
The classification of the accident type is based upon the traffic movements leading up to the conflict situation. In 2009, 50 percent of all accidents in eThekwini were of the same direction accident type whilst the second highest were the vehicle pedestrian accidents which constituted 13 percent of the total accidents. Vehicle/pedestrian accidents are a cause for concern as they account for the highest number of fatalities.
2009
TOTAL ACCIDENT
S % OF ALL
FATAL ACCIDENT
S
SERIOUS INJURY
ACCIDENTS
Same Direction 33609 49.7% 31 383
Opposite Direction 4999 6.7% 45 217
Right Angle 6762 10.1% 25 180
Reversing/Parking 7996 11.5% 2 30
Fixed Object/Overturning 5872 8.2% 78 375
Vehicle/Pedestrian 6830 13.1% 333 1777
Other 1609 2.4% 9 89
TOTAL 67677 101.7% 523 3051
Accident Type:eThekwini - 2009
7%
10%
11%
8%
13%
2%
49%
Same Direction
Opposite Direction
Right Angle
Reversing/Parking
Fixed Object/Overturning
Vehicle/Pedestrian
Other
21
1.16. Accident Type by Day of Week
Opposite
Direction Accidents
638 652 625729
830 866
659
0
200
400
600
800
1000
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
No
. O
f In
cid
en
ts
Right Angle Accidents
980 945 953 974
11631048
699
0
500
1000
1500
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
No
. O
f In
cid
en
ts
Fixed Object / Overturning Accidents
771
632699 743
811
1090 1126
0
200
400
600
800
1000
1200
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
No
. O
f In
cid
en
ts
Vehicle / Pedestrian Accidents
969 923 899 911
1199 1148
781
0
500
1000
1500
Monday Tuesday Wednesday Thursday Friday Saturday Sunday
No
. O
f In
cid
en
ts
22
2. TRAFFIC VOLUMES 2.1. Traffic Volume Growth
The following table shows the traffic volume growth for the period 2001 through to 2009 in the eThekwini Municipal Area. The figures were derived from two-way counts conducted over a 12 hour period of vehicles accessing the central area of the city.
YEAR CARS TAXIS BUSES HEAVIES TOTAL
VOLUMES
2001 361011 26802 6641 20190 414644
2002 366770 30357 5802 20956 423885
2003 366643 30404 5231 22169 424447
2004 367641 34266 5824 24800 432531
2005 384660 33846 5612 26442 450560
2006 378934 32763 5431 28561 445689
2007 384212 32548 5510 29669 451939
2008 376839 34187 4446 29673 445145
2009 402043 36617 3108 29017 470785
Traffic Volumes by Vehicle Type 2009
BUSES
1%HEAVIES
6%
CARS
85%
TAXIS
8%
23
2.2. Top 10 Busiest Signalised Intersections for all Vehicles in eThekwini
RANK LOCATION
12 HOUR VOLUME 06:00 TO
18:00
NUMBER OF ACCIDENTS
(2009)
1 MR94 (M41) and Outer Ring Road (N2) (West) 68100 102
2 Sandile Thusi Road(Argyle Road) (M17) and Stalwart Simelane Street (Stanger Street) (M4)
67000 202
3 Umgeni Road (M19) and Outer Ring Road (N2) (East) 66300 224
4 Chris Hani Road (North Coast Road) (R102) and Sea Cow Lake Road (M21)
65800 69
5 Solomon Mahlangu Drive (Edwin Swales Drive) (M7) and South Coast Road
64400 317
6 M19 and Outer Ring Road (N2) (West) 64200 135
7 MR94 (M41) and Outer Ring Road (N2) (East) 62800 40
8 Umgeni Road (R102) and Smiso Nkwanyana Road (Goble Road) 59800 148
9 Umgeni Road (M19) and Alpine Road (M10) 57800 130
10 Umgeni Road (R102) and Sandile Thusi Road(Argyle Road) (M17)
56600 146
2.3. Top 10 Busiest Intersections by Vehicle Type BUSES
RANK LOCATION
12 HOUR VOLUME 06:00 TO
18:00
1 Johannes Nkosi Street (Alice Street) (R102) and Ingcuce Road (Albert Street) (R102)
2506
2 David Webster Street (Leopold Street) (M4) (R102) and Joe Slovo Street (Field Street)
2431
3 Dr Yusuf Dadoo Street (Grey Street) and Charlotte Maxeke Street (Beatrice Street)
2339
4 David Webster Street (Leopold Street) (M4) (R102) and Julius Nyerere Avenue (Warwick Avenue) (M4) (R102)
2240
5 Braam Fischer Road (Ordinance Road) (M4) and Soldiers Way 1989
6 Umgeni Road (R102) and Smiso Nkwanyana Road (Goble Road) 1944
7 Umgeni Road (M19) and K E Masinga Road (Old Fort Road) (M4) 1827
8 Market Road (M4) and Johannes Nkosi Street (Alice Street) (M4) 1709
9 Ingcuce Road (Albert Street) and Charlotte Maxeke Street (Beatrice Street) 1685
10 Soldiers Way and Dr Goonam Street (Prince Edward Street) 1674
24
TAXIS
RANK LOCATION
12 HOUR VOLUME 06:00 TO
18:00
1 David Webster Street (Leopold Street) (M4) (R102) and Julius Nyerere Avenue (Warwick Avenue) (M4) (R102)
17894
2 Market Road (M4) and David Webster Street (Leopold Street) (M4) 17093
3 Market Road (M4) and Johannes Nkosi Street (Alice Street) (M4) 14660
4 Johannes Nkosi Street (Alice Street) (M4) (R102) and Julius Nyerere Avenue (Warwick Avenue) (M4) (R102)
13832
5 David Webster Street (Leopold Street) (M4) (R102) and Joseph Nduli Street (Russel Street)
12486
6 Josiah Gumede Road (Old Main Road-Pinetown) (M31) and Anderson Road
11503
7 Johannes Nkosi Street (Alice Street) (R102) and Ingcuce Road (Albert Street) (R102)
11484
8 Braam Fischer Road (Ordinance Road) (M4) and Soldiers Way 10971
9 Umgeni Road (M19) and KE Masinga Road (Old Fort Road) (M4) 10806
10 Dr Yusuf Dadoo Street (Grey Street) and Dr Pixley kaSeme Street (West Street)
10802
HEAVIES
RANK LOCATION
12 HOUR VOLUME 06:00 TO
18:00
1 Solomon Mahlangu Drive (Edwin Swales VC Drive) (M7) and South Coast Road
13329
2 South Coast Road (R102) and Transnet 6863
3 Solomon Mahlangu Drive (Edwin Swales VC Drive) (M7) and Wakesleigh Road (M10)
7362
4 South Coast Road and Bayhead Road 7210
5 Bayhead Road (M9) and Langeberg Road 6778
6 Solomon Mahlangu Drive (Edwin Swales VC Drive) (M7) and Outer Ring Road (N2) (East)
6612
7 Solomon Mahlangu Drive (Edwin Swales VC Drive) (M7) and Pinedene Road
6559
8 South Coast Road (R102) and Eel Road 6416
9 Bayhead Road (M9) and Dockyard Road 6315
10 Solomon Mahlangu Drive (Edwin Swales VC Drive) (M7) and Titren Road 6233