1. Integrating land-cover data with data on population and household characteristics to assess densification along the BRT ROUTE in the city of Tshwane
SATC 2018
CSIR ICC, Pretoria, Gauteng, South Africa
Presented by N Dudeni-Tlhone
Team: E PETZER, Dr S KHULUSE-MAKHANYA, JP HOLLOWAY and A GXUMISA.
Confidential

2. Strategic Research Panel (SRP) project
Background
Strategic Research Panel (SRP) project
Importance of Earth Observation/Remote sensing for spatial planning
Indicator development
Integration with official statistics/data in the public domain
Densification along BRT
Monitoring of the SDGs
SDG 11: Sustainable Cities and Communities
Target 11.2 Public transport access and convenience
Background
This is a sub-component/ task/ case study activity undertaken under the SRP project.
We often lack spatial data for planning and decision making

3. Estimate current densification patterns along the BRT route
Objectives
Estimate the proportion of the City of Tshwane (CoT) population with convenient access to BRT (A Re Yeng) service
Estimate current densification patterns along the BRT route
population densities, building footprint and land use characteristics
Background

4. 500 m walking distance: 200 units/ha
Methodology
Estimate the proportion of the CoT with convenient access to BRT
Based on the UN Habitat definitions/guidelines (SDG 11, Target Public transport access and convenience)
Walking distance standard of 500m from a rapid transit station
Link SDG 11, 11.2 to CoT Rapid Transit Spatial Development that promotes various densification concept of around stations in terms of the 500 m and 700 meter waking distances. High residential development within the 1st 500m walking distances (200 units/ha). New nevelopments within concentration zones should preferably
not be at densities of below 120 units per hectare.
500 m walking distance: 200 units/ha
500 m-700 m walking distance: 120 units/ha

5. Data requirements/ sources
BRT route and bus stops
Census population distribution and household characteristics
Small Area frame
Land cover data (built-up footprint)
2013/2014 National land-cover data set
GTI SPOT Building count
Route and bus stop data layer- for creating a 500m buffer from both sides of the each station
Census data (only public and official source) for estimating population within the relevant buffers
Land cover data sets (GTI and

6. BRT route
Main route with 76 bus stops, 2 trunks and several feeder routes from PTA North CBD Hatfield covering a total distance of 80 km.

7. Data pre-processing analysis
SAL layer and Bus stops/buffer
Total of 4524 SALs in CoT with 204 (5%) of them spatially located within the BRT route
Discussion of census and buffer layer---and how the data were extracted for analysis

8. Proportion with convenient access to BRT=5%
Results
Estimation: 𝑝 = 𝑛 𝑁 , where 𝑛 = (Buffer population) and 𝑁=2 921 364 (CoT population)
Proportion with convenient access to BRT=5%

9. Characteristics of the CoT/ buffer population
Rest of Tshwane
BRT Buffers
Main variable
Variable category N % n
Age
Age 0-14 years 23 12
Age15-64 years 72 84
Age years 5 4
Car ownership
Yes 44
45 973 37 No 56 63
Hearing
No difficulty 97 98
Some difficulty 3 2
Mobility
Sight 91 92 9 8
Employment status
Employed
2 101 205 51 47
Unemployed 16 13
Economically Inactive 29 40
Migration
Gauteng 86
Other Provinces 10 27
Outside SA

10. Population densities along the buffer
Discuss the results eg. Min =2 351, max= people per buffer area of roughly 0.79 km2.
Variability of estimates…..

11. Building footprint/ land-use along BRT
Building types along BRT services buffers—Building land-use

12. LC-14
Discuss the results eg. Min =2 351, max= people per buffer area of roughly 0.79 km2.
Variability of estimates…..

13. Varying densities along the BRT route
Conclusion
Potential for integrating EO and official stats for monitoring relevant transport indicators
Proportion of population with convenient access
Building density
Varying densities along the BRT route
Potential for densification at the less dense parts to support optimal usage of BRT and possibly other public transport modes
No desirable population density thresholds were determined

14. Thank you
Strictly confidential