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Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa

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dc.contributor.author Jagarnath, M
dc.contributor.author Thambiran, Tirusha
dc.contributor.author Gebreslasie, M
dc.date.accessioned 2019-08-14T06:55:20Z
dc.date.available 2019-08-14T06:55:20Z
dc.date.issued 2019-04
dc.identifier.citation Jagarnath, M., Thambiran, T., and Gebreslasie, M. 2019. Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa. Journal of Land Use Science, v14(1), pp 81-109. en_US
dc.identifier.issn 1747-423X
dc.identifier.uri https://www.tandfonline.com/doi/full/10.1080/1747423X.2019.1610809
dc.identifier.uri https://doi.org/10.1080/1747423X.2019.1610809
dc.identifier.uri http://hdl.handle.net/10204/11079
dc.description Copyright: 2019 Taylor & Francis Group. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website. en_US
dc.description.abstract Urbanization is one of the most significant and irreversible forms of land change, but we lack empirical evidence of these changes in the Global South. This is the first study to quantify past and explore future land change for the Durban metropolitan, using Land Change Modeler (LCM) software. Results show between 1994–2016, the total changed area was 118,403 ha (47% of landscape) and eleven transition categories were responsible for these changes. Three scenarios were explored: Scenario 1: business as usual (BAU), Scenario 2: green space protection (GSP), and Scenario 3: integrated rapid public transport network (IRPTN), up to the year 2076. BAU and IRPTN show similar projected spatial change concentrated in the west and north. GSP shares temporal change trends with BAU, but projects spatial change concentrated in the north and south. We discuss the utility of this modelling approach to understand land change processes useful for climate change planning. en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis Group en_US
dc.relation.ispartofseries Worklist;22434
dc.subject Adaptation en_US
dc.subject Cities en_US
dc.subject Future studies en_US
dc.subject Land use en_US
dc.subject Mitigation en_US
dc.subject Spatial planning en_US
dc.title Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa en_US
dc.type Article en_US
dc.identifier.apacitation Jagarnath, M., Thambiran, T., & Gebreslasie, M. (2019). Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa. http://hdl.handle.net/10204/11079 en_ZA
dc.identifier.chicagocitation Jagarnath, M, Tirusha Thambiran, and M Gebreslasie "Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa." (2019) http://hdl.handle.net/10204/11079 en_ZA
dc.identifier.vancouvercitation Jagarnath M, Thambiran T, Gebreslasie M. Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa. 2019; http://hdl.handle.net/10204/11079. en_ZA
dc.identifier.ris TY - Article AU - Jagarnath, M AU - Thambiran, Tirusha AU - Gebreslasie, M AB - Urbanization is one of the most significant and irreversible forms of land change, but we lack empirical evidence of these changes in the Global South. This is the first study to quantify past and explore future land change for the Durban metropolitan, using Land Change Modeler (LCM) software. Results show between 1994–2016, the total changed area was 118,403 ha (47% of landscape) and eleven transition categories were responsible for these changes. Three scenarios were explored: Scenario 1: business as usual (BAU), Scenario 2: green space protection (GSP), and Scenario 3: integrated rapid public transport network (IRPTN), up to the year 2076. BAU and IRPTN show similar projected spatial change concentrated in the west and north. GSP shares temporal change trends with BAU, but projects spatial change concentrated in the north and south. We discuss the utility of this modelling approach to understand land change processes useful for climate change planning. DA - 2019-04 DB - ResearchSpace DP - CSIR KW - Adaptation KW - Cities KW - Future studies KW - Land use KW - Mitigation KW - Spatial planning LK - https://researchspace.csir.co.za PY - 2019 SM - 1747-423X T1 - Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa TI - Modelling urban land change processes and patterns for climate change planning in the Durban metropolitan area, South Africa UR - http://hdl.handle.net/10204/11079 ER - en_ZA


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