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The applicability of the South African census 2011 data for evidence-based urban planning

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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 - en_ZA


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