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Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling

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dc.contributor.author Le Roux, Alize
dc.date.accessioned 2013-11-08T09:34:12Z
dc.date.available 2013-11-08T09:34:12Z
dc.date.issued 2012-08
dc.identifier.citation Le Roux, A. 2013. Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling. Masters Thesis. University of Utrecht, Geographical Information Management and Application en_US
dc.identifier.uri http://igitur-archive.library.uu.nl/student-theses/2012-0904-200759/MSc_GIMA_Alize_LeRoux_27072012.pdf
dc.identifier.uri http://hdl.handle.net/10204/7044
dc.description A thesis submitted to Geographical Information Management and Application, University of Utrecht, in fulfillment o f the requirements for the degree of Master of Science. en_US
dc.description.abstract Land use policies have a definite and lasting impact on the way that cities grow, however, the change in land use only gets observed many years later. As such, it is difficult for policy and decision makers to observe and quantify the implications of their land use policies and strategies and what it might or might not mean for a city's landscape a decade or more from now. This research study sets out to investigate the consequences of the Johannesburg Growth Management Strategy proposed policy. The Dyna-Clue model was used to compare the spatial impact of two different scenarios, thus answering the question whether the proposed policies will restore the city¿s inequality by the year 2030. en_US
dc.language.iso en en_US
dc.publisher University of Utrecht, The Netherlands en_US
dc.relation.ispartofseries Workflow;11723
dc.subject Land use models en_US
dc.subject Land use change en_US
dc.subject Policy interventions en_US
dc.subject Modelling en_US
dc.title Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling en_US
dc.type Report en_US
dc.identifier.apacitation Le Roux, A. (2012). <i>Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling</i> (Workflow;11723). University of Utrecht, The Netherlands. Retrieved from http://hdl.handle.net/10204/7044 en_ZA
dc.identifier.chicagocitation Le Roux, Alize <i>Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling.</i> Workflow;11723. University of Utrecht, The Netherlands, 2012. http://hdl.handle.net/10204/7044 en_ZA
dc.identifier.vancouvercitation Le Roux A. Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling. 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/10204/7044 en_ZA
dc.identifier.ris TY - Report AU - Le Roux, Alize AB - Land use policies have a definite and lasting impact on the way that cities grow, however, the change in land use only gets observed many years later. As such, it is difficult for policy and decision makers to observe and quantify the implications of their land use policies and strategies and what it might or might not mean for a city's landscape a decade or more from now. This research study sets out to investigate the consequences of the Johannesburg Growth Management Strategy proposed policy. The Dyna-Clue model was used to compare the spatial impact of two different scenarios, thus answering the question whether the proposed policies will restore the city¿s inequality by the year 2030. DA - 2012-08 DB - ResearchSpace DP - CSIR KW - Land use models KW - Land use change KW - Policy interventions KW - Modelling LK - https://researchspace.csir.co.za PY - 2012 T1 - Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling TI - Quantifying the spatial implications of future land use policies in South Africa: Reshaping a city through land use modelling UR - http://hdl.handle.net/10204/7044 ER - en_ZA


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