dc.contributor.author |
Khuluse-Makhanya, Sibusisiwe
|
|
dc.contributor.author |
Dudeni-Tlhone, Nontembeko
|
|
dc.contributor.author |
Holloway, Jennifer P
|
|
dc.contributor.author |
Schmitz, P
|
|
dc.contributor.author |
Waldeck, Louis
|
|
dc.contributor.author |
Stein, A
|
|
dc.contributor.author |
Debba, Pravesh
|
|
dc.contributor.author |
Stylianides, Theo
|
|
dc.contributor.author |
Du Plessis, Pierre
|
|
dc.contributor.author |
Cooper, Antony K
|
|
dc.contributor.author |
Baloyi, Ethel
|
|
dc.date.accessioned |
2017-07-28T09:11:09Z |
|
dc.date.available |
2017-07-28T09:11:09Z |
|
dc.date.issued |
2016-06 |
|
dc.identifier.citation |
Khuluse-Makhanya, S., Dudeni-Tlhone, N., Holloway, J.P. et al. 2016. The applicability of the South African census 2011 data for evidence-based urban planning. Southern African Journal of Demography, vol. 17(1): 67-132 |
en_US |
dc.identifier.issn |
1682-4482 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/9386
|
|
dc.description |
Southern African Journal of Demography, vol. 17(1): 67-132 |
en_US |
dc.description.abstract |
In urban planning it is important to understand settlements in terms of demographic, socio-economic, physical and political environmental characteristics. The objective is often to support municipalities, regional and national governments with long-term planning tools for the development of infrastructure, facilities and services. In a municipal context planning relies on spatially explicit estimates of the future demand for services, which depend largely on where households will live, where they will work and how they will commute using the transportation networks available to them. Given the complexity of large cities as a system, modelling and simulation tools are valuable for municipal decisions regarding the likes of environmental quality and safety in settlements and stimulation of economic productivity through provision of infrastructure. Models cannot capture such a complex system entirely; however they do allow integration of data indicative of factors shown in Figure 1 and their dynamics simplistically, for consumption by the relevant stakeholders. That is, they provide evidence upon which spatially equitable and sustainable planning of urban areas can be based. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Statistics SA |
en_US |
dc.relation.ispartofseries |
Worklist;16717 |
|
dc.subject |
Urban planning |
en_US |
dc.subject |
Demography studies |
en_US |
dc.subject |
South African census 2011 |
en_US |
dc.subject |
Census data |
en_US |
dc.title |
The applicability of the South African census 2011 data for evidence-based urban planning |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Khuluse-Makhanya, S., Dudeni-Tlhone, N., Holloway, J. P., Schmitz, P., Waldeck, L., Stein, A., ... Baloyi, E. (2016). The applicability of the South African census 2011 data for evidence-based urban planning. http://hdl.handle.net/10204/9386 |
en_ZA |
dc.identifier.chicagocitation |
Khuluse-Makhanya, Sibusisiwe, Nontembeko Dudeni-Tlhone, Jennifer P Holloway, P Schmitz, Louis Waldeck, A Stein, Pravesh Debba, et al "The applicability of the South African census 2011 data for evidence-based urban planning." (2016) http://hdl.handle.net/10204/9386 |
en_ZA |
dc.identifier.vancouvercitation |
Khuluse-Makhanya S, Dudeni-Tlhone N, Holloway JP, Schmitz P, Waldeck L, Stein A, et al. The applicability of the South African census 2011 data for evidence-based urban planning. 2016; http://hdl.handle.net/10204/9386. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Khuluse-Makhanya, Sibusisiwe
AU - Dudeni-Tlhone, Nontembeko
AU - Holloway, Jennifer P
AU - Schmitz, P
AU - Waldeck, Louis
AU - Stein, A
AU - Debba, Pravesh
AU - Stylianides, Theo
AU - Du Plessis, Pierre
AU - Cooper, Antony K
AU - Baloyi, Ethel
AB - In urban planning it is important to understand settlements in terms of demographic, socio-economic, physical and political environmental characteristics. The objective is often to support municipalities, regional and national governments with long-term planning tools for the development of infrastructure, facilities and services. In a municipal context planning relies on spatially explicit estimates of the future demand for services, which depend largely on where households will live, where they will work and how they will commute using the transportation networks available to them. Given the complexity of large cities as a system, modelling and simulation tools are valuable for municipal decisions regarding the likes of environmental quality and safety in settlements and stimulation of economic productivity through provision of infrastructure. Models cannot capture such a complex system entirely; however they do allow integration of data indicative of factors shown in Figure 1 and their dynamics simplistically, for consumption by the relevant stakeholders. That is, they provide evidence upon which spatially equitable and sustainable planning of urban areas can be based.
DA - 2016-06
DB - ResearchSpace
DP - CSIR
KW - Urban planning
KW - Demography studies
KW - South African census 2011
KW - Census data
LK - https://researchspace.csir.co.za
PY - 2016
SM - 1682-4482
T1 - The applicability of the South African census 2011 data for evidence-based urban planning
TI - The applicability of the South African census 2011 data for evidence-based urban planning
UR - http://hdl.handle.net/10204/9386
ER -
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en_ZA |