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UTILISING CENSUS 2011 RESULTS FPOR TRANSPORTATION PLANNING IN THE CITY OF TSHWANE
16 – 17 September 2013
Presented by:Hilton Vorster
UTILISING CENSUS 2011 RESULTS FPOR TRANSPORTATION PLANNING IN THE CITY OF TSHWANE
17 September 2013
Presented by:Hilton Vorster
Content
• Tshwane Growth and Development Strategy 2055
• Comprehensive Integrated Transport Plan (CITP)• Transport Model• Census and Household Survey • Tshwane: Household Travel Surveys• Conclusions
Tshwane Growth and Development Strategy –
Comprehensive Integrated Transport Plan (CITP)
Census and Household Survey DataHousehold Travel Surveys
TshwaneGrowth Development Strategy 2055
• It’s a Long-Term Strategy Framework, directing the City’s Planning
• Aimed at Improving the Quality of Living Across the Metro
• Revitalising the City• Boosting Economic Development• Attracting Investment• GDS 2055 underpinned by the Comprehensive
Integrated Transport Plan (CITP)
TshwaneDevelopment Strategy 2055
Term Strategy Framework, directing the
Aimed at Improving the Quality of Living Across the
Development
GDS 2055 underpinned by the Comprehensive Integrated Transport Plan (CITP)
1. Introduction
2. Transport Vision & Objectives
3. Transport Register Data Collection• CPTR• Traffic• Roads
4. Spatial Development Framework
5. Transport Needs Assessment
6. Public Transport Operational Strategy• Network
operational plan
• Reg. Rail Plan• OLS
7. Transport Infrastructure
Strategy• Road• Public
Transport Infrastructure
8.
11. Summary of Local ITPS in the Case of
District Municipalities
12. Funding Strategy of Proposals and Programmes
13.
Publ
ic P
artic
ipat
ion
Comprehensive Integrated Transport Plan (CITP)
Introduction
2. Transport Vision & Objectives
Register Data Collection
4. Spatial Development Framework
5. Transport Needs Assessment
TDM 9. Freight Logistics Strategy
10. Other Transport Related
Strategies
Funding Strategy of Proposals and Programmes
Data collection and modeling
Comprehensive Integrated Transport Plan (CITP)
Transport Model critical tool for CITP
• Socio-economic database to serve as input
• Land Use Model requirementsØ Dwelling Units and
Population by Income Group
Ø Labour Force (Economically Active Population, Formal Employed, Informal Employed and Unemployed)
Transport Model critical tool for CITP
Census and Householdrelation to the Modeling Process
Population & EmploymentPopulation & Employment
1. Trip Generation
Link (route) flows by mode
2. Trip Distribution
3. Modal Split
4. Trip assignment
Household Survey DataHousehold Survey DataForms the basis for Forms the basis for development of the development of the
calibrated equations used calibrated equations used for steps 1for steps 1-- 3 in the 43 in the 4--step step
modeling processmodeling process
Census and Household Survey Data in relation to the Modeling Process
Population & EmploymentPopulation & Employment
1. Trip Generation
Link (route) flows by mode
2. Trip Distribution
3. Modal Split
4. Trip assignment
Census Data Census Data Used as control Used as control
totals for totals for Population & Population & employment employment
datadata
Tshwane CITP: use of Census 2011 Socio-economic statistics
(A) MODELLING
Develop Land Use ModelStatistics by Income Group• Dwelling Units• Population• Labour Force
Serve as Input to Transportation Model
Report Results
Tshwane CITP: use of Census 2011 economic statistics
(B) HOUSEHOLD
TRAVEL SURVEY
Data Analysis which Includes weighting of the
Data by using Census Parameters such as gender
and age
Tshwane CITP: Use of Census 2011 socio-economic statistics
CENSUS 2011
Tshwane CITP: economic statistics
CENSUS 2011
METHODOLOGY1. Land Use Model requirementsØ Dwelling Units and Population by Income GroupØ Labour Force (Economically Active Population, Formal Employed,
Informal Employed and Unemployed)2. Use the program SuperSTAR to create the tables needed
EXAMPLE 1 and EXAMPLE 23. Develop the conversion table between the Census Small Area and the
Transportation Model Traffic Zones 4. Develop a database per Modelling traffic zone consisting of dwelling
units, population and labour force (productions) see EXAMPLE 45. The database serves as Input to the EMM4 Transportation Model,
where it will be used in the trip generation process6. Finally the results of the socio-economic input into the modelling
process will be reported – see EXAMPLE 5 and EXAMPLE 6
(A) MODELLING
EXAMPLE 1 EXAMPLE 2
EXAMPLE 5
METHODOLOGY
Dwelling Units and Population by Income GroupLabour Force (Economically Active Population, Formal Employed, Informal Employed and Unemployed)
to create the tables needed – see
Develop the conversion table between the Census Small Area and the Transportation Model Traffic Zones – see EXAMPLE 3Develop a database per Modelling traffic zone consisting of dwelling units, population and labour force (productions) see EXAMPLE 4The database serves as Input to the EMM4 Transportation Model, where it will be used in the trip generation process
economic input into the modelling see EXAMPLE 5 and EXAMPLE 6
(A) MODELLING
EXAMPLE 3
EXAMPLE 4
EXAMPLE 5 EXAMPLE 6
Statistics South Africa/Census 2011 Community ProfilesDwellings_Small_Areas
Table 1Annual household income, Type of main dwelling and Household size
for Household weighted, TSH: City of Tshwane
LOWHouse or brick/concrete
block structure on a separate stand or yard or
on a farm
Traditional dw elling/hut/structure made
of traditional materials
Flat or apartment in a block
1 2 3 4 5 6 7 8 9 10+ 1 2 3 4 5 6 7 8 9 10+ 1
Created on 12 September 2013Statistics South Africa: Web page: www.statssa.gov.zaSupport: [email protected] © 2010 Statistics South Africa. All rights reserved.
CENSUS 2011 : EXAMPLETABLES CREATED : DWELLING UNITS
Statistics South Africa/Census 2011 Community Profiles
Annual household income, Type of main dwelling and Household size for Household weighted, TSH: City of Tshwane
Flat or apartment in a block of f lats
2 3 4 5 6 7 8 9 10+
Copyright © 2010 Statistics South Africa. All rights reserved.
INCOME CATEGORY CATEGORISED IN LOW MIDDLE
AND HIGH INCOME
TYPE OF MAIN DWELLING
HOUSEHOLD SIZE
CENSUS 2011 : EXAMPLETABLES CREATED : DWELLING UNITS
EXAMPLE 1
Statistics South Africa/Census 2011 Community ProfilesLabour Force_Small_Areas
Table 1Official employment status and Type of sector
for Person w eighted
Employed
In the formal sector
In the informal sector
Private household
Do not know Unspecif ied
Not applicable
In the formal sector
- - - - - -
All cells in this table have been randomly rounded to base 3
Created on 12 September 2013Statistics South Africa: Web page: w ww .statssa.gov.zaSupport: [email protected] © 2010 Statistics South Africa. All rights reserved.
CENSUS 2011 : EXAMPLETABLES CREATED : LABOUR FORCE
Statistics South Africa/Census 2011 Community ProfilesLabour Force_Small_Areas
Official employment status and Type of sector for Person w eighted
Unemployed
In the formal
In the informal sector
Private household
Do not know Unspecif ied
Not applicable
- - - - - -
OFFICIAL EMPLOYMENT
STATUS
TYPE OF SECTOR
CENSUS 2011 : EXAMPLETABLES CREATED : LABOUR FORCE
EXAMPLE 2
Legend
Tshwane CITP Study Area
Census 2011 Small Area6 354 zones
Tshwane CITP TZ2 044 zones
DEVELOPMENT OF A COMPREHENSIVE
INTEGRATED TRANSPORT PLAN
(CITP)
STUDY AREA
TSHWANE CITP: CONVERSION TABLE
A CONVERSION TABLE WAS CREATED BETWEEN (2 044) AND CENSUS SMALL AREAS (6 354)
EXAMPLE 3
TSHWANE CITP: CONVERSION TABLE
A CONVERSION TABLE WAS CREATED BETWEEN TSHWANE CITP ZONESCENSUS SMALL AREAS (6 354)
EXAMPLE 3
END RESULT (PER TSHWANE TRAFFIC ZONEDWELLINGS, POPULATION AND ECONOMICALLY ACTIVE POPULATION
EXAMPLE 4
TSHWANETRAFFIC ZONE
1 873 12 755 43 959 57 587 2 842 32 063 2 5 10 24 39 15 22 3 - - - - - - 4 38 197 950 1 185 204 994 5 - - - - - - 6 2 11 49 62 10 66 7 73 609 2 201 2 883 356 3 074 8 227 869 3 158 4 254 1 046 3 965 9 - - - - - -
10 143 989 4 315 5 447 745 4 678 11 15 109 436 560 85 549 12 - 1 14 15 - 7 13 70 322 1 363 1 755 335 1 610 14 75 497 1 420 1 992 318 2 126 15 23 64 328 414 130 294 16 35 260 899 1 194 181 1 326 17 89 850 3 422 4 361 440 4 028 18 9 22 153 183 44 97 19 7 50 183 240 27 244 20 80 508 1 964 2 552 242 1 796 21 - - 11 11 - - 22 158 900 4 772 5 830 833 4 057 23 29 146 661 836 181 723 24 84 538 2 956 3 578 429 2 968
High Medium Low Total High Medium
DWELLINGS (CENSUS 2011) POPULATION (CENSUS 2011)
(PER TSHWANE TRAFFIC ZONE)DWELLINGS, POPULATION AND ECONOMICALLY ACTIVE POPULATION
EXAMPLE 4
91 857 126 762 75 057 46 470 6 573 22 014 75 057 50 88 53 44 7 2 53
- - - - - - - 3 020 4 218 1 227 396 90 741 1 227
- - - - - - - 155 231 57 35 - 23 57
8 090 11 520 3 144 1 551 444 1 149 3 144 9 830 14 841 4 548 2 027 261 2 261 4 548
- - - - - - - 14 125 19 548 5 931 2 691 681 2 559 5 931
1 349 1 983 543 279 12 252 543 44 51 18 6 3 9 18
4 445 6 390 1 878 900 168 810 1 878 5 023 7 467 2 970 1 476 303 1 191 2 970
937 1 361 440 198 62 180 440 3 113 4 620 1 683 765 45 873 1 683
11 603 16 071 5 016 2 448 465 2 103 5 016 422 563 167 81 32 54 167 470 741 270 171 12 87 270
6 068 8 106 2 874 1 710 234 930 2 874 21 21 6 3 - 3 6
16 476 21 366 6 912 2 871 696 3 345 6 912 2 129 3 033 774 402 72 300 774
10 781 14 178 3 984 1 683 267 2 034 3 984
Low Total
Economi- cally
Active Formal InformalUnemploy-
ment Total
POPULATION (CENSUS 2011) ECONOMICALLY ACTIVE (CENSUS 2011)
Moretele LM
MadibengLM
EkurhuleniCity of Johannesburg
City of Tshwane
Moretele LM(part)
MadibengLM (part)
City of Johannesburg
(part)
Ekurhuleni(part)
Legend
Tshwane CITP Study Area
Tshwane CITP Traffic ZonesCity of Tshwane
Planning RegionsTraffic Zones outside CoT
DEVELOPMENT OF A COMPREHENSIVE
INTEGRATED TRANSPORT PLAN
(CITP)
STUDY AREA
Thembisile LM
Thembisile LM(part)
MadibengLM
City of Tshwane
Moretele LM(part)
MadibengLM (part)
City of Johannesburg
(part)
Ekurhuleni(part)
REGION 1
REGION 2
REGION 3
REGION 4
REGION 5
REGION 6
Moretele LM
Legend
Tshwane CITP Study Area
Tshwane CITP Traffic ZonesCity of Tshwane
Planning Regions
DEVELOPMENT OF A COMPREHENSIVE
INTEGRATED TRANSPORT PLAN
(CITP)
CENSUS 2011POPULATION BY
TSHWANE TRAFFIC ZONE
CITP TZ Population<500500 to <10001000 to <25002500 to <50005000+
Thembisile LM(part)
Thembisile LM
REGION 7
EXAMPLE 5
Moretele LM
MadibengLM
EkurhuleniCity of Johannesburg
City of Tshwane
Moretele LM(part)
MadibengLM (part)
City of Johannesburg
(part)
Ekurhuleni(part)
333
086
289
823
110
453
98 0
80
453
740
REGION 1
REGION 2
REGION 3
REGION 4
REGION 5
REGION 6
189
374
244
641
144
552
48 3
65
273
139
132
685 13
9 53
4
46 7
76
32 6
02
228
315
81 0
23
141
599
63 1
91
22 1
48
150
810
88 3
43
47 1
43
15 6
69
5 60
6
136
117
6130
7
194
178
178
585
19 9
01
180
075
Legend
Tshwane CITP Study Area
Tshwane CITPTraffic Zones
City of Tshwane
Planning Regions
DEVELOPMENT OF A COMPREHENSIVE
INTEGRATED TRANSPORT PLAN
(CITP)
CENSUS 2011POPULATION BY
TSHWANE REGIONThembisile LM
(part)
Thembisile LM
High Income PopulationMedium Income PopulationLow Income Population
942
848 1 08
0 48
02
289
274
REGION 7
66 5
60
3746
1
28 7
77
13 0
20
14 3
70
1 55
4
EXAMPLE 6
Output from the modeling• Traffic flow on network per mode • Comparison between development scenarios• Travel demand forecasting
modelingTraffic flow on network per mode – congestions levelsComparison between development scenarios
Tshwane: Household Travel Surveys
• To obtain more detailed travel information• Comply with minimum requirements in terms of the
NLTA• Launched MMC Matjila, MMC Transport (9000 surveys)
Tshwane: Household Travel Surveys
To obtain more detailed travel informationComply with minimum requirements in terms of the
, MMC Transport (9000 surveys)
PretoriaPretoria
Survey Programme
Conclusions
• Evidence based decision making is essential for authorities to make reliable decisions
• An accurate and informed CITP is essential to guide transport development in Cities
• Transportation Modeling is an essential tool to determine network performance and demand forecasting
• Census information plays an integral part of data requirements for transportation planning
• Information must be supplemented to conform to the minimum requirements
Conclusions
Evidence based decision making is essential for authorities to make reliable decisionsAn accurate and informed CITP is essential to guide transport development in Cities
is an essential tool to determine network performance and demand forecastingCensus information plays an integral part of data requirements for transportation planningInformation must be supplemented to conform to the
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