PART OF AN ENVIRONMENTAL IMPACT ASSESSMENT FOR THE ... · PART OF AN ENVIRONMENTAL IMPACT...

TRAFFIC IMPACT ASSESSMENT PART OF AN ENVIRONMENTAL IMPACT ASSESSMENT

FOR THE PROPOSED SKUKUZA SAFARI LODGE

IN THE KRUGER NATIONAL PARK

6 November 2014

Report prepared by:

Corli Havenga Transportation Engineers 91 Tinderwood Crescent Sand River Camp W IT F O N TE I N X2 5 PO Box 133, SERENGETI, 1642

Tel: +27 (011) 552 7271 Fax: +27(011) 552 7272 Cell: 083 284 2860 (Corli) Cell: 083 458 0066 (Cobus)

E-mail: [email protected]


FOR THE PROPOSED SKUKUZA SAFARI LODGE IN THE KRUGER NATIONAL PARK

CONTENTS Page

DECLARATION

1. BACKGROUND 1

2. METHODOLOGY 1

3. SITE LOCATION AND ACCESSIBILITY 1

4. EXISTING TRAFFIC DEMAND 2

5. TRIP GENERATION 15

6. TRIP DISTRIBUTION & BACKGROUND TRAFFIC GROWTH 15

7. ANALYSIS 16

8. CONCLUSION AND RECOMMENDATION 17

9. REFERENCES 18

ANNEXURE At the back of report

SKUKUZA CONFERENCE LODGE: LAYOUT MAP BY EXIGO3

SITE PLAN CONSEPT DESIGN GROUND FLOOR BY TOM HATTINGH ARCHITECTS

FIGURE 1: SITE LOCATION PLAN

GRAPHS

Member of SAACE Corli Havenga Pr Eng, B.Eng Civil M.Eng. Transportation Members Cobus Havenga Pr Eng. B.Eng Civil Hons. Eng. Transportation

CC Reg No 91/30938/23

91 Tinderwood Cresc Sand River Camp

W IT F O N TE I N X2 5 PO Box 133, SERENGETI, 1642

E-mail: [email protected]

Tel: +27011) 552 7271 Fax: +27(011) 552 7272

Cell: 083 284 2860 (Corli) Cell: 083 458 0066 (Cobus)

DECLARATION I certify that this TRAFFIC IMPACT ASSESSMENT: PART OF AN ENVIRONMENTAL IMPACT

ASSESSMENT FOR THE PROPOSED SKUKUZA SAFARI LODGE IN THE KRUGER NATIONAL

PARK was prepared by me and I have experience and training in the field of traffic and

transportation engineering.

Signed: ……………………… DATE: 6 NOVEMBER 2014

Name: Cobus Havenga Qualification: Pr Eng, B Eng Civil, Hons Transportation Engineering ECSA Registration Number: 970277 Company: Corli Havenga Transportation Engineers

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FOR THE PROPOSED SKUKUZA SAFARI LODGE IN THE KRUGER NATIONAL PARK

1. BACKGROUND

This traffic impact assessment was done as part of the Environmental Impact Assessment for the development of the proposed Skukuza Safari Lodge within the existing Skukuza Rest Camp in the Kruger National Park. The proposed facility is planned to be located next to (just west of) the existing Conference Centre. The location of the proposed facility is indicated in the Skukuza Conference Lodge: Layout Map of Exigo

3, a

copy of which is presented in the Annexure. The proposed facility will comprise a 128-bedroom Safari Lodge; a copy of the Concept Design Site Plan is presented in the Annexure. Some existing staff accommodation (10 units) and 6 chalets will be removed to accommodate the new facility. New staff accommodation will be developed. Of the planned 128 staff members only 40 to 48 staff members will be accommodated in Skukuza, the rest will be transported by bus daily.

2. METHODOLOGY The normal methods used to measure the impact of a development on the road network are not really relevant for the roads within the Kruger National Park, because they measure the level of service at intersections during the peak traffic hours. The Kruger National Park measured congestion levels on different roads as part of a comprehensive Traffic Assessment

(1) done for the park in July 2008. Density was used as the measure using the following formula:

Density = 2,4*Hourly Traffic Volume/Average Speed

Initially a density threshold value of 2 vehicles per km was set as the norm. As part of the Traffic Assessment

(1) the then current densities were measured and the acceptable road congestion thresholds, as

perceived by visitors, were determined. Visitors indicated that they would be comfortable with congestion levels up to 7 or 8 vehicles/km. Based on the maximum acceptable number of vehicles at any sighting, a threshold value of 3 vehicles per kilometre was accepted. Based on the available data the following methodology was adopted:

Obtain gate entry data at all the southern gates. Obtain the vehicle count information done in 2008. Calibrate the vehicle count data with the gate entry data for the same dates. Use the calibration to convert the gate entry data into equivalent 12-hour count information. Determine the congestion levels of the respective roads for the years for which the gate entry

data are available. Determine the trip generation and distribution for the proposed Safari Lodge facility. Add the expected new trips to the existing (modelled) 12-hour counts. Determine the congestion levels of the respective roads that the proposed Safari Lodge will

impact.

3. SITE LOCATION AND ACCESSIBILTY The proposed new Safari Lodge will be located in the existing Skukuza camp as depicted in Figure 1. This Safari Lodge will specifically cater for the conference facility. We therefore expect the shortest routes to the

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facility to be the most popular routes. The following three roads are regarded as the most likely and popular to be used by Safari Lodge guests: Numbi Gate travelling along Road H1-1 to Skukuza Phabeni Gate travelling along Roads S1 and H11 to Skukuza Paul Kruger Gate travelling along Road H11 to Skukuza

4. EXISTING TRAFFIC DEMAND

4.1 Gate entry data We obtained gate entry data from the park dating back to 2007 up to the end of December 2012. In addition to these we were also given a copy of the Traffic Impact Study done for the Conference Facility

(2), dated May

2008 as well as the Traffic Assessment done for the Marula Region Strategic Environmental Assessment Kruger Park

(1), dated July 2008.

As part of the Traffic Assessment done for the Marula Region Strategic Environmental Assessment, various counting stations were set up in the southern region of the Kruger Park. The traffic counts done at the relevant counting stations were conducted during April 2008. From the gate entry data which we obtained from the Park, we extracted the data for April 2008. The graphs below depict the Kruger Park entries at the Numbi Gate, Phabeni Gate and the Paul Kruger Gate:

NUMBI GATE ENTRIES (APRIL 2008)

0

200

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1000

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Day of the month

Nu

mb

er

of

peo

ple

/day

Total Visitors

Day Visitors

Overnight Visitors

PHABENI GATE ENTRIES (APRIL 2008)

0200400600800

100012001400

01/0

4/2

008

03/0

4/2

008

05/0

4/2

008

07/0

4/2

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09/0

4/2

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Day of the month

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of

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/day

Total Visitors

Day Visitors

Overnight Visitors

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KRUGER GATE ENTRIES (APRIL 2008)

0200400600800

10001200

01/0

4/2

008

03/0

4/2

008

05/0

4/2

008

07/0

4/2

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008

Day of the month

Nu

mb

er

of

peo

ple

/day

Total Visitors

Day Visitors

Overnight Visitors

The highest numbers of visitors (approximate) per day recorded entering the Kruger Park during the month of April at the respective gates are summarised in Table 1 below.

YEAR HIGHEST NUMBERS OF VISITOR ENTRIES DURING APRIL

Numbi Phabeni Kruger

2007 1200 1500 1300

2008 900 1200 1100

2009 1200 800 1200

2010 1400 1400 1200

2011 1100 1200 1300

2012 900 1400 1200

Table 1: Highest numbers of visitors through the respective gates in April

Yearly graphs were compiled for 2011 and 2012 reflecting the gate entries at the respective southern gates to the Kruger Park. Copies of these graphs are presented in the Annexure. A set of graphs was also compiled reflecting the sum of the entries for both total vehicles entering the park per day as well as total visitors entering the park per day through the southern gates, (see Annexure).

4.2 Traffic counts The locality map indicating the counting stations extracted from the Traffic Assessment

(1) done for the Marula

Region Strategic Environmental Assessment is presented below.

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The traffic counts done at the relevant counting stations were done from 16 to 22 April 2008 for the “low season” and from 6 to 12 April 2008 for the “high season”. 4.3 Gate entry & traffic count comparison The eastbound vehicle count at Counting Station 4 was compared to the gate entry data of Numbi Gate for the respective days on which the counts were done. The eastbound vehicle count at Counting Station 1 was compared to the gate entry data of Phabeni Gate for the respective days on which the counts were done. The eastbound vehicle count at Counting Station 3 was compared to the gate entry data of Paul Kruger Gate for the respective days on which the counts were done. The results of these comparisons are presented below. Unfortunately only visitor (person) entries were recorded at the gates and not the number of vehicles entering.

NUMBI GATE ENTRIES

0

200

400

600

800

1000

16/04/2

008

17/04/2

008

18/04/2

008

19/04/2

008

20/04/2

008

21/04/2

008

22/04/2

008

Low Season

Nu

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of

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ple

or

veh

icle

s

Total Visitors

Day Visitors

Overnight Visitors

ST 4 Vehicles Eastbound

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NUMBI GATE ENTRIES

0100200300400500600700

06/04/2

008

07/04/2

008

08/04/2

008

09/04/2

008

10/04/2

008

11/04/2

008

12/04/2

008

High Season

Nu

mb

er

of

peo

ple

or

veh

icle

s

Total Visitors

Day Visitors

Overnight Visitors


PHABENI GATE ENTRIES

0100200300400500600700800

16/0

4/200

8

17/0

4/200

8

18/0

4/200

8

19/0

4/200

8

20/0

4/200

8

21/0

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8

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4/200

8

Low Season

Nu

mb

er o

f p

eop

le o

r

veh

icle

s Total Visitors

Day Visitors

Overnight Visitors

ST 1 Vehicles

Eastbound

PHABENI GATE ENTRIES

0

200

400

600

800

1000

06/0

4/200

8

07/0

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8

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High Season

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s Total Visitors

Day Visitors

Overnight Visitors

ST 1 Vehicles

Eastbound

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KRUGER GATE ENTRIES

0

100

200

300

400

500

16/0

4/200

8

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8

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8

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Low Season

Nu

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veh

icle

s Total Visitors

Day Visitors

Overnight Visitors

ST 3 Vehicles

Eastbound

KRUGER GATE ENTRIES

0100200300400500600700

06/0

4/200

8

07/0

4/200

8

08/0

4/200

8

09/0

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8

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8

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8

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8

High Season

Nu

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f p

eop

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r

veh

icle

s Total Visitors

Day Visitors

Overnight Visitors

ST 3 Vehicles

Eastbound

4.4 Vehicle occupancy data As part of the Traffic Assessment

(1) done for the Marula Region Strategic Environmental Assessment,

interviews were also conducted at four of the southern gates and four of the southern camps. As part of these interviews the number of vehicles together with the number of passengers per vehicle were recorded. Table 2 below presents the results.

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Location Season DirectionNumber of

vehicles

Number of

passengersOccupancy

Inbound 152 500 3.29

Outbound 238 631 2.65

Inbound 231 700 3.03

Outbound 149 562 3.77

Inbound 180 466 2.59

Outbound 227 653 2.88

Inbound 110 195 1.77

Outbound 65 99 1.52

Inbound 117 314 2.68

Outbound 66 205 3.11

Inbound 95 360 3.79

Outbound 107 446 4.17

Inbound 140 416 2.97

Outbound 170 508 2.99

Inbound 275 941 3.42

Outbound 243 776 3.19

Inbound 175 429 2.45

Outbound 207 624 3.01

Inbound 142 277 1.95


Inbound 136 341 2.51


Inbound 122 396 3.25

Outbound 120 374 3.12

Inbound 117 340 2.91

Outbound 132 324 2.45

Inbound 112 327 2.92

Outbound 122 402 3.30

Inbound 175 517 2.95

Outbound 250 808 3.23

Inbound 265 853 3.22

Outbound 213 561 2.63

Crocodile Bridge Gate

Malelane Gate

Numbi Gate

Kruger Gate

Lower Sabie Camp

Berg & Dal Camp

Pretoriuskop Camp

Skukuza Camp

Low

High

Low

High

Low

High

Low

High

Low

High

Low

High

Low

High

Low

High

Table 2: Average vehicle occupancy figures from interview data The Kruger Park started recording the number of vehicles entering through the various gates together with the number of visitors in 2011. The actual vehicle occupancy recorded for April 2011 and April 2012 is depicted in the graph below.

VEHICLE OCCUPANCY (2011 & 2012)

0.00

1.00

2.00

3.00

4.00

5.00

6.00

1 Apr

il

3 Apr

il

5 Apr

il

7 Apr

il

9 Apr

il

11 A

pril

13 A

pril

15 A

pril

17 A

pril

19 A

pril

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pril

23 A

pril

25 A

pril

27 A

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29 A

pril

Day of the month

Nu

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rso

ns

/ve

hic

le

Numbi 2011

Phabeni 2011

Kruger 2011

Numbi 2012

Phabeni 2012

Kruger 2012

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There were no data for 22 to 24 April 2012 for Phabeni Gate. The average vehicle occupancies recorded at the respective gates during April are presented in Table 3 below.

AVERAGE VEHICLE OCCUPANCY RECORDED (Persons/Vehicle)

YEAR NUMBI GATE PHABENI GATE PAUL KRUGER GATE

2011 3,65 3,24 2,86

2012 3,65 3,17 2,96

Table 3: Average vehicle occupancy figures recorded in April The average vehicle occupancies recorded at the respective gates for the full year are presented in Table 4 below.

AVERAGE VEHICLE OCCUPANCY RECORDED (Persons/Vehicle)

YEAR NUMBI GATE PHABENI GATE PAUL KRUGER GATE

2011 3,71 3,25 2,94

2012 3,84 3,40 2,93

Table 4: Average vehicle occupancy figures recorded in 2011 and 2012 4.5 Calibration A comparison between gate entry data (vehicles calculated from visitor [person] entries converted into vehicles by applying average vehicle occupancy figures) and the actual vehicle counts at the respective counting stations is depicted in the graphs below.

NUMBI GATE ENTRIES AND STATION 4 COUNT (APRIL 2008)

0

100

200

300

400

500

06/04/2

008

07/04/2

008

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22/04/2

008

Day of the month

Nu

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veh

icle

s/d

ay

Vehicles through Gate


ST 4 Vehicles Westbound

ST 4 12-hour Count

PHABENI GATE ENTRIES AND STATION 1 COUNT (APRIL 2008)

0

100

200

300

400

500

06/04/2

008

07/04/2

008

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008

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ay




ST 1 12-hour Count

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KRUGER GATE ENTRIES AND STATION 3 COUNT (APRIL 2008)

0200400600800

10001200

06/04/2

008

07/04/2

008

08/04/2

008

09/04/2

008

10/04/2

008

11/04/2

008

12/04/2

008

13/04/2

008

14/04/2

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17/04/2

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19/04/2

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20/04/2

008

21/04/2

008

22/04/2

008

Day of the month

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of

veh

icle

s/d

ay




ST 3 12-hour Count

From the above it is clear that the gate entry data will give a good reflection of the actual number of vehicles on the respective roads (12-hour volumes) provided they are calibrated. The actual count at Counting Station 3 is substantially higher than the gate entries recorded, which is probably due to the many staff and delivery vehicles using this road (Paul Kruger Gate to Skukuza). The results of the calibration done for each gate are presented in the graphs below.

CALIBRATION CORRELATION NUMBI

0100200300400500600

06/0

4/2

008

08/0

4/2

008

10/0

4/2

008

12/0

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22/0

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Day of the month

Nu

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icle

s/1

2

ho

urs

Vehicle calibrated 2-

way count at Gate

ST 4 12-hour count

CALIBRATION CORRELATION PHABENI

0

100

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500

06/0

4/2

008

08/0

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way count at Gate

ST 4 12-hour count

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CALIBRATION CORRELATION KRUGER

0200400600800

10001200

06/0

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urs


way count at Gate

ST 4 12-hour count

4.6 Data interpretation Table 5 presents the dates on which more that 1500 vehicles entered the park through the southern gates and more than 5000 people entered the park through these gates. The number of vehicles through the respective gates has been recorded only since 2011. It must be noted that there were 29 days in 2008, 47 in 2009, 88 in 2010, 14 in 2011 and 20 in 2012 where data were missing.

DATE NUMBER DATE NUMBER DATE NUMBER DATE NUMBER DATE NUMBER

24 April 2011 1511 07 April 2012 1551

26 April 2011 1641 08 April 2012 1619

27 April 2011 1582 10 August 2012 1723

01 May 2011 1538 11 August 2012 1659

16 June 2011 1634 23 September 2012 1716

10 July 2011 1573 26 December 2012 1628

06 August 2011 1751

07 August 2011 1800

08 August 2011 1567

09 August 2011 1593

26 December 2011 1724

27 December 2011 1513

14 June 2008 6509 10 April 2009 5119 24 September 2010 5361 23 April 2011 5170 02 January 2012 5057

27 September 2008 5093 11 April 2009 5111 24 September 2010 5291 24 April 2011 5356 07 April 2012 5532

16 December 2008 5559 09 August 2009 5851 26 April 2011 5552 08 April 2012 5852

26 December 2008 5144 25 September 2009 5201 27 April 2011 5040 10 August 2012 5842

29 December 2009 5393 16 June 2011 5000 11 August 2012 5998

30 December 2009 5265 9 July 2011 5140 22 September 2012 5130

10 July 2011 5495 23 September 2012 6059

6 August 2011 5641 25 December 2012 6129

7 August 2011 6416 26 December 2012 6323

8 August 2011 5443 27 December 2012 5017

1 October 2011 5243 30 December 2012 5152

16 December 2011 5037

25 December 2011 5704

26 December 2011 6443

27 December 2011 5342

28 December 2011 5019

29 December 2011 5062

2010 2011 2012

SOUTHERN GATES ENTRIES

(Crocodile Bridge, Malelane, Numbi, Phabeni, Kruger)

Days exceeding 1500

vehicle entries

Days exceeding 5000

visitors (person)

entries

2008 2009YEAR

Table 5: Highest entries through southern gates Table 6 below presents the yearly average daily visitor entries through the southern gates calculated from the gate entry data. Also presented in Table 6 are the daily averages for the month of April from 2008 to 2012.

SOUTHERN GATES VISITOR (PERSON) ENTRIES (Crocodile Bridge, Malelane, Numbi, Phabeni & Kruger)

Year 2008 2009 2010 2011 2012

Year average 2649 2681 2463 2733 2715

April average 2505 2976 2478 3050 3056

Table 6: Southern gates visitor entries - averages

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The graph below depicts the daily total visitor entries through the southern gates.

SOUTHERN GATE VISITOR (PERSON) ENTRIES (Crocodile Bridge, Malelane, Numbi, Phabeni, Kruger)

01000200030004000500060007000

01/0

1

09-J

an

17-J

an

25-J

an

02-F

eb

10-F

eb

18-F

eb

26-F

eb

05-M

ar

13-M

ar

21-M

ar

29-M

ar

06-A

pr

14-A

pr

22-A

pr

30-A

pr

08-M

ay

16-M

ay

24-M

ay

01-J

un

09-J

un

17-J

un

25-J

un

03-J

ul

11-J

ul

19-J

ul

27-J

ul

04-A

ug

12-A

ug

20-A

ug

28-A

ug

05-S

ep

13-S

ep

21-S

ep

29-S

ep

07-O

ct

15-O

ct

23-O

ct

31-O

ct

08-N

ov

16-N

ov

24-N

ov

02-D

ec

10-D

ec

18-D

ec

26-D

ec

Day of the month

Nu

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er

of

peo

ple

/day

Total Visitor Entries (2008)





Copies of a graph depicting a comparison between the total number of visitors through the southern gates for 2008, 2011 and 2012 are presented in the Annexure. Also presented in the Annexure is a graph depicting the total visitor entries through the Paul Kruger, Phabeni and Numbi Gates respectively, as well as combined. The Kruger National Park is using density to measure the level of congestion on the roads. A level of 3 vehicles/km was accepted. Applying the calibration model to the gate entry data resulted in derived 12-hour counts equivalent to the count station data of Stations 4, 1 and 3. Applying the density formula to the derived 12-hour count data resulted in density figures for the Numbi Gate Road (H1-1), Phabeni Gate Road (S1) and the Paul Kruger Gate Road (H11) for 2008, 2009, 2010, 2011 and 2012. The graphs depicting the data are presented in the Annexure. The yearly daily averages and deviations are presented in Table 7 below.

2008 2009 2010 2011 2012 APRIL 2008

APRIL 2008

COUNT

NUMBI GATE ROAD: COUNTING STATION 4

Average daily density

1.4 1.6 1.6 1.5 1.4 1.4 1.2

Variance 0.3 0.5 0.4 0.3 0.2 0.2 0.1

PHABENI GATE ROAD: COUNTING STATION 1


1.5 1.5 1.5 1.7 1.6 1.6 1.5

Variance 0.3 0.4 0.5 0.5 0.3 0.3 0.2

PAUL KRUGER GATE ROAD: COUNTING STATION 3


4.5 4.5 4.4 4.4 4.4 4.2 3.7

Variance 0.6 0.6 0.6 0.4 0.4 0.7 1.1

Table 7: Yearly average densities and variances The actual 60-minute peak hour and 15-minute peak densities recorded in 2008 at the respective counting stations are presented in Table 8 below.

Counting station Road Maximum density

(Veh/km) Peak 15 min

Maximum density (Veh/km)

Peak 60 min

Maximum density (Veh/km)

Peak 12 hours

1 S1 5.8 3.9 1.7

3 H11 8.9 6.6 4.6

4 H1-1 5.2 3.0 1.4

Table 8: Maximum recorded densities recorded in April 2008

12 Skukuza

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It must be noted that the density on the section of road just before entering Skukuza where the Paul Kruger Gate entries and the Phabeni Gate entries merge, will be higher. We expect the daily year average to be at least 6 vehicles/km. This is based on the sum of the separate volumes.

4.7 Peak hour data Per hour visitor entry data for 2012 were obtained for the southern gates. The data for the peak traffic days (see Table 5) were extracted to get an understanding on the expected peak arrival patterns at the various southern gates in terms of overnight visitors and day visitors. Graphs reflecting the entries per hour at the respective southern gates were compiled and are presented below.

13 Skukuza

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14 Skukuza

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15 Skukuza

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From these graphs it is clear that the Day Visitor entries through the gates show a distinct early morning peak hour. The entry of Overnight Visitors does not have a distinct early morning peak hour pattern and occurred in a more spread-out manner.

5. TRIP GENERATION The SA Trip Data Manual recommends a peak hour trip generation rate of 0,3 to 0,5 trips per room with splits of 60:40, 50:50 and 55:45 for hotels. This cannot be applied for the proposed Safari Lodge with a sleeping capacity of 272 people. Although the main purpose of the proposed Safari Lodge is to cater for conference delegates, it will probably also be utilised for normal Kruger Park visitors. Staff trips will at most be 2 busses in and 2 busses out per day. The use of the Safari Lodge to provide accommodation for conference delicates will in fact contribute to a reduction in traffic on the road network. At this stage some conference delegates stay outside the Kruger Park because of the lack of appropriate accommodation inside Skukuza, adding additional trips to the road network. At this stage conference delegates staying in Skukuza Camp, in most instances stay some distance from the conference facility. They travel from their accommodation to the venue. This results in the doubling of parking spaces to be provided in Skukuza Camp (at the accommodation and at the conference facility). The worst case traffic scenario will be during high peak periods where the Safari Lodge will be used to provide accommodation to visitors. The following assumptions are made: Average stay of 2 nights per room 1 trip (vehicle) per two beds An average stay of 2 nights in the Safari Lodge will result in an expected trip generation of 128 trips per day on one of the roads between the 3 respective gates serving the Kruger National Park and Skukuza Camp. The provision of additional accommodation in Skukuza Camp will also contribute to a slight increase in traffic on the roads surrounding the camp. This will be more so over peak times when the Safari Lodge will be used to provide additional accommodation in the Kruger Park. During normal operating times the Safari Lodge will tend to lower the number of vehicles currently on the roads, because conference delegates will not need to travel in and out of the park while attending a conference. We expect Safari Lodge guests to also make use of the airfield which the Kruger Park is planning to re-open. These guests will then use the OSV’s for game watching. We would also expect Safari Lodge guests to use buses. The Safari Lodge will be able to cater for international guests/tour groups. We therefore expect the traffic impact for game viewing on the popular game viewing routes around the Skukuza Camp to be limited.

6. TRIP DISTRIBUTION AND BACKGROUND TRAFFIC GROWTH The expected Safari Lodge guests can use any entrance gate to Skukuza Camp. The most likely/popular gates to be used will be Paul Kruger Gate, Numbi Gate and Phabeni Gate. In order to test the effect of the proposed Safari Lodge on the respective existing road densities, the following scenarios were tested: Scenario 1: All the Safari Lodge guests use the Numbi Gate Scenario 2: All the Safari Lodge guests use the Phabeni Gate Scenario 3: All the Safari Lodge guests use the Paul Kruger Gate Scenario 4: The Safari Lodge guests use all three of the above mentioned gates in equal numbers

16 Skukuza

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No background traffic growth needs to be applied because the Kruger Park limits the number of visitors to the park and no natural growth in numbers is allowed. Historic data also show no annual growth. The 2012 gate entry data are used as a basis to measure the impact of the proposed increase in vehicles on the road network.

7. ANALYSIS 7.1 Average daily densities The 2012 gate entry data are used as a basis to measure the impact of the proposed increase in vehicles on the road network. The 2012 densities on the respective access roads together with the expected road densities for the different scenarios are depicted in the graphs below.

NUMBI GATE ROAD DENSITIES

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

03/11/2011 23/12/2011 11/02/2012 01/04/2012 21/05/2012 10/07/2012 29/08/2012 18/10/2012 07/12/2012 26/01/2013

Day of the year

De

ns

ity

(v

eh

icle

s/k

m)

2012 Densities

Scenario 1 Densities


PHABENI GATE ROAD DENSITIES

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

03/11/2011 23/12/2011 11/02/2012 01/04/2012 21/05/2012 10/07/2012 29/08/2012 18/10/2012 07/12/2012 26/01/2013

Day of the year

De

ns

ity

(v

eh

icle

s/k

m)

2012 Densities



KRUGER GATE ROAD DENSITIES

0.00

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

03/11/2011 23/12/2011 11/02/2012 01/04/2012 21/05/2012 10/07/2012 29/08/2012 18/10/2012 07/12/2012 26/01/2013

Day of the year

De

ns

ity

(v

eh

icle

s/k

m)

2012 Densities



The respective average annual daily densities are presented in Table 9 below.

17 Skukuza

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EXISTING AND EXPECTED AVERAGE ANNUAL DAILY DENSITIES (Vehicles/km)

Numbi Gate Road - H1-1 (Counting St. 4) Existing 2012 Scenario 1 Scenario 4

1.44 2.06 1.65

Phabeni Gate Road – S1 (Counting St. 1) Existing 2012 Scenario 2 Scenario 4

1.58 2.2 1.79

Paul Kruger Gate Road – H11 (Counting St. 3) Existing 2012 Scenario 3 Scenario 4

4.42 5.05 4.63

Table 9: Existing average annual daily road densities For design Scenario 4 the average annual daily density on the section of road just before entering Skukuza, where the Paul Kruger Gate entries and the Phabeni Gate entries merge, will be at least 6,38 vehicles/km. The different scenarios will result in the following percentage increases on the respective roads: Numbi Gate: Scenario 1 will result in a 43% increase in traffic on Road H1-1 Scenario 4 will result in a 14% increase in traffic on Road H1-1 Phabeni Gate: Scenario 2 will result in a 37% increase in traffic on Road S1 Scenario 4 will result in an 11% increase in traffic on Road S1 Paul Kruger Gate: Scenario 3 will result in a 14% increase in traffic on Road H11 Scenario 4 will result in a 4,5% increase in traffic on Road H11 7.2 Peak hour densities The proposed Safari Lodge will have a limited impact on the peak hour densities. During the highest peak times when we expect the Safari Lodge to be utilised for normal accommodation, we expect the arrival pattern to the Safari Lodge to be similar to the existing arrival pattern of Overnight Visitors. As can be seen from the graphs presented in 4.7, the arrivals (gate entries) of Overnight Visitors do not correspond with the early morning peak hour which is mostly influenced by Day Visitors.

8. CONCLUSION AND RECOMMENDATION The traffic impact of the proposed Safari Lodge will be within the threshold limits of the Kruger Park on Road H1-1 and Road S1. Road H11, the road between the Paul Kruger Gate and Skukuza, is already above the threshold value and the traffic impact of the proposed Safari Lodge will be less than a 14% (worst case scenario) increase in traffic volumes and more realistically an increase in the region of 4%.

The operations of the Safari Lodge will specifically cater for the needs of conference delegates. There is also the possibility of selling specific conference packages. The selling of, specifically, the use of the conference facility with accommodation and transport will greatly assist in decreasing the number of vehicles on the roads. Such a package deal can include the collection of delegates at the gate and a game drive during the stay as well as dropping off at the gate after the stay. This will need the development of a park-and-ride facility at one of the gates. Because Road H11 is already over the threshold, such a facility should be at the Paul Kruger Gate. The operational cost of such a service will also be lower from the Paul Kruger Gate than any of the other gates. The comprehensive Traffic Assessment

(1) done for the park in July 2008 measured the congestion levels on

different roads in the park. This study did not measure the congestion levels on the four routes closest to Skukuza Camp, namely: H11 between Skukuza and S1, H1-1 between Skukuza and H3, H1-2 and H4-1. We expect congestion levels to be already high on these routes. For most of these routes, alternatives are

18 Skukuza

PP20898

available. The provision of an alternative route for Road H11 between Skukuza and Road S1 will assist in lowering congestion levels on this section and should be considered by the park authorities. The conference facility is already operational and because of the lack of sufficient accommodation within close proximity (walking distance), parking at the conference facility is a problem. Conference delegates currently travel from within the Skukuza Camp to the conference facility. This means the provision of double parking spaces; a parking space at the accommodation and a parking space at the conference facility. The location of the Safari Lodge next to the conference facility will assist with this. The Safari Lodge will not contribute significantly to current congestion levels on the roads in the park and can be supported from a traffic point of view. We recognise the fact that current congestion levels on roads close to Skukuza Camp are already higher than the threshold value of 3 vehicles/km. The following interventions should be considered to lower congestion levels on roads close to Skukuza Camp:

Park-and-ride facility at Paul Kruger Gate. Reducing the number of Day Visitors at Paul Kruger Gate. The provision of an alternative route for Road H11 between Skukuza and Road S1. The selling of package deals for the conference facility with accommodation and transport.

9. REFERENCES

(1) Trafftrans (Pty Ltd, Marula Region Strategic Environmental Assessment Kruger National Park, July 2008. (2) Endecon Ubuntu (Pty) Ltd Engineering Consultants, Traffic Impact Assessment Proposed Conference

Facility at Skukuza Rest Camp, May 2008.

ANNEXURE

ALL DRAWINGS AND DIMENSIONS MUST BE CORRELATEDBEFORE ANY MATERIALS ARE ORDERED OR BUILDING

WORK COMMENCES. ANY DIFFERENCES MUST BE BROUGHTTO THE ATTENTION OF THE ARCHITECT IMMEDIATELY.

COPYRIGHT IS RESERVED ON ALL DRAWINGS AND DESIGNS.

CONSTRUCTION DRAWINGS APPROVED:

______________________________________

Tom Hattingh Architects

______________________________________

H.O.D. – Technical services

______________________________________

Senior Manager – Civil and Building

______________________________________

Senior Manager – Electro Mechanical

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SKUKUZAKRUGER NATIONAL PARK

CONCEPT DESIGN GROUND FLOOR

drawing:

• SITE PLAN •CONCEPT DESIGNGROUND FLOOR

FIGURE 1: SITE LOCATION PLAN

SCALE : N/A

TRAFFIC IMPACT ASSESSMENTSKUKUZA LODGE IN

KRUGER NATIONAL PARK

PP20902

The Site

3

1

4

1 2008 Counting Station

National Kruger Park entries through southern park gates:

CROCODILE BRIDGE GATE ENTRIES (2011)

0200400600800

1000120014001600

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

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of p

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CROCODILE BRIDGE ENTRIES (2012)

0200400600800

100012001400160018002000

01/0

1/20

12

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Num

ber

of p

eopl

e or

veh

icel

s/da

y

VehiclesDay VisitorsOvernight Visitors

MALELANE GATE ENTRIES (2011)

0200400600800

10001200

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

ber

of p

eopl

e or

ve

hicl

es/d


MALELANE GATE ENTRIES (2012)

0

200

400

600

800

1000

120001

/01/

2012

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Num

ber

of p

eopl

e or

veh

icle

s/da

y


NUMBI GATE ENTRIES (2011)

0200400600800

1000

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

ber

of p

eopl

e or

ve

hicl

es/d


NUMBI GATE ENTRIES (2012)

0100200300400500600700800900

01/0

1/20

12

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Num

ber

of p

eopl

e or

veh

icle

s/da

y


PHABENI GATE ENTRIES (2011)

0500

1000150020002500

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

ber o

f peo

ple

or

vehi

cles

/day Vehicles

Day VisitorsOvernight Visitors

PHABENI GATE ENTRIES (2012)

0

200

400

600

800

1000

1200

01/0

1/20

12

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Mum

ber

of p

eopl

e or

veh

icle

s/da

y


KRUGER GATE ENTRIES (2011)

0200400600800

100012001400

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

ber o

f peo

ple

or

vehi

cles

/day Vehicles

Day VisitorsOvernight Visitors

KRUGER GATE ENTRIES (2012)

0200400600800

10001200140016001800

01/0

1/20

12

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Num

ber

of p

eopl

e or

veh

icle

s/da

y


SOUTHERN GATES: VEHICLE ENTRIES TOTAL (2011)

0500

100015002000

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

ber

of v

ehic

les/

day

Vehicles In

SOUTHERN GATES: VEHICLE ENTRIES TOTAL (2012)

0200400600800

100012001400160018002000

01/0

1/20

12

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Num

ber

of v

ehic

les/

day

Vehicles In

SOUTERN GATES: VISITORS (PEOPLE) ENTRIES TOTAL (2011)

01000200030004000500060007000

01/0

1/20

11

08/0

1/20

11

15/0

1/20

11

22/0

1/20

11

29/0

1/20

11

05/0

2/20

11

12/0

2/20

11

19/0

2/20

11

26/0

2/20

11

05/0

3/20

11

12/0

3/20

11

19/0

3/20

11

26/0

3/20

11

02/0

4/20

11

09/0

4/20

11

16/0

4/20

11

23/0

4/20

11

30/0

4/20

11

07/0

5/20

11

14/0

5/20

11

21/0

5/20

11

28/0

5/20

11

04/0

6/20

11

11/0

6/20

11

18/0

6/20

11

25/0

6/20

11

02/0

7/20

11

09/0

7/20

11

16/0

7/20

11

23/0

7/20

11

30/0

7/20

11

06/0

8/20

11

13/0

8/20

11

20/0

8/20

11

27/0

8/20

11

03/0

9/20

11

10/0

9/20

11

17/0

9/20

11

24/0

9/20

11

01/1

0/20

11

08/1

0/20

11

15/1

0/20

11

22/1

0/20

11

29/1

0/20

11

05/1

1/20

11

12/1

1/20

11

19/1

1/20

11

26/1

1/20

11

03/1

2/20

11

10/1

2/20

11

17/1

2/20

11

24/1

2/20

11

31/1

2/20

11

Day of the year

Num

ber

of p

eopl

e/da

y

Total Visitors

SOUTHERN GATES: VISITORS (PEOPLE) ENTRIES TOTAL (2012)

0

1000

2000

3000

4000

5000

6000

7000

01/0

1/20

12

08/0

1/20

12

15/0

1/20

12

22/0

1/20

12

29/0

1/20

12

05/0

2/20

12

12/0

2/20

12

19/0

2/20

12

26/0

2/20

12

04/0

3/20

12

11/0

3/20

12

18/0

3/20

12

25/0

3/20

12

01/0

4/20

12

08/0

4/20

12

15/0

4/20

12

22/0

4/20

12

29/0

4/20

12

06/0

5/20

12

13/0

5/20

12

20/0

5/20

12

27/0

5/20

12

03/0

6/20

12

10/0

6/20

12

17/0

6/20

12

24/0

6/20

12

01/0

7/20

12

08/0

7/20

12

15/0

7/20

12

22/0

7/20

12

29/0

7/20

12

05/0

8/20

12

12/0

8/20

12

19/0

8/20

12

26/0

8/20

12

02/0

9/20

12

09/0

9/20

12

16/0

9/20

12

23/0

9/20

12

30/0

9/20

12

07/1

0/20

12

14/1

0/20

12

21/1

0/20

12

28/1

0/20

12

04/1

1/20

12

11/1

1/20

12

18/1

1/20

12

25/1

1/20

12

02/1

2/20

12

09/1

2/20

12

16/1

2/20

12

23/1

2/20

12

30/1

2/20

12

Day of the year

Num

ber o

f peo

ple/

day

Total Visitors

SOUTHERN GATES VISITORS (PERSON) ENTRIES: 2008, 2011 & 2012

01000200030004000500060007000

01/0

1/20

08

15/0

1/20

08

29/0

1/20

08

12/0

2/20

08

26/0

2/20

08

11/0

3/20

08

25/0

3/20

08

08/0

4/20

08

22/0

4/20

08

06/0

5/20

08

20/0

5/20

08

03/0

6/20

08

17/0

6/20

08

01/0

7/20

08

15/0

7/20

08

29/0

7/20

08

12/0

8/20

08

26/0

8/20

08

09/0

9/20

08

23/0

9/20

08

07/1

0/20

08

21/1

0/20

08

04/1

1/20

08

18/1

1/20

08

02/1

2/20

08

16/1

2/20

08

30/1

2/20

08

day of the year

Num

ber o

f peo

ple/

day

Total Visitor Entries (2008)Total Visitor Entries (2011)Total Visitor Entries (2012)

2008 GATE VISITOR ENTRIES

01000200030004000500060007000

01/0

1/20

08

15/0

1/20

08

29/0

1/20

08

12/0

2/20

08

26/0

2/20

08

11/0

3/20

08

25/0

3/20

08

08/0

4/20

08

22/0

4/20

08

06/0

5/20

08

20/0

5/20

08

03/0

6/20

08

17/0

6/20

08

01/0

7/20

08

15/0

7/20

08

29/0

7/20

08

12/0

8/20

08

26/0

8/20

08

09/0

9/20

08

23/0

9/20

08

07/1

0/20

08

21/1

0/20

08

04/1

1/20

08

18/1

1/20

08

02/1

2/20

08

16/1

2/20

08

30/1

2/20

08

Day of the year

Num

ber o

f vis

itors

/day

Total Southern Gate Visitor Entries Visitor Entries Kruger Visitor Entries PhabeniVisitor Entries NumbiTotal Visitor Entries Kruger, Phabeni & Numbi

NUMBI GATE ROAD DENSITIES

0.000.501.001.502.002.503.003.504.00

03-Nov-11 23-Dec-11 11-Feb-12 01-Apr-12 21-May-12 10-Jul-12 29-Aug-12 18-Oct-12 07-Dec-12 26-Jan-13

Day of the year

Den

sity

(veh

icle

s/km

)

Current densitiesDensity Scenario 1Density Scenario 4

PHABENI GATE ROAD DENSITIES

0.000.501.001.502.002.503.003.504.00


Day of the year

Den

sity

(veh

icle

s/km

)

Phabeni current densitiesDensity Scenario 2Density Scenario 4

KRUGER GATE ROAD DENSITIES

0.001.002.003.004.005.006.007.008.00


Day of the year

Den

sity

(veh

icle

s/km

)

Kruger current densitiesDensity Scenario 3Density Scenario 4

PART OF AN ENVIRONMENTAL IMPACT ASSESSMENT FOR THE ... · PART OF AN ENVIRONMENTAL IMPACT...

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