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Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach

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dc.contributor.author Van Heerden, Quintin
dc.contributor.author Van Vuuren, J
dc.date.accessioned 2023-06-13T10:19:55Z
dc.date.available 2023-06-13T10:19:55Z
dc.date.issued 2022-12
dc.identifier.citation Van Heerden, Q. & Van Vuuren, J. 2022. Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach. <i>Town and Regional Planning, 81.</i> http://hdl.handle.net/10204/12791 en_ZA
dc.identifier.uri DOI: https://doi.org/10.18820/2415-0495/trp81i1.2
dc.identifier.uri http://hdl.handle.net/10204/12791
dc.description.abstract Sustainable development is at the heart of city planning, and urbanisation plays a central role in achieving the Sustainable Development Goals. Urbanisation, however, is interlaced with existential challenges such as climate change. The National Government has developed an overabundance of national plans to foster sustainable economic development, which has led to a plethora of acts that place many statutory requirements on municipalities. This article gives a critical review of these national plans, the statutory requirements, and the resultant planning frameworks and instruments. The main findings are that many national plans did not make adequate progress and that acts and planning instruments do not require policy interventions or long-term visions to be tested before being implemented. This might contribute to fragmentation, poor coordination, and neglecting the impact of climate change. Case studies based on simulation models being used locally as decision-support tools are presented before a case is made for the use of Integrated Land Use and Transport models to test policy interventions that include urban and climate planning. An enhanced simulation-optimisation framework is proposed to allow planners to determine the best means to achieve specific targets. This framework is useful as many government departments know ‘what’ they wish to achieve, but often struggle to determine ‘how’ to achieve these targets, let alone whether they are even achievable. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.relation.uri https://journals.ufs.ac.za/index.php/trp/article/view/6972/4646 en_US
dc.relation.uri https://journals.ufs.ac.za/index.php/trp/article/view/6972 en_US
dc.source Town and Regional Planning, 81 en_US
dc.subject Climate change planning en_US
dc.subject Simulation-optimisation en_US
dc.subject Sustainable development en_US
dc.subject Spatial planning en_US
dc.subject Urban growth simulation models en_US
dc.title Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach en_US
dc.type Article en_US
dc.description.pages 7-23 en_US
dc.description.note © Creative Commons With Attribution (CC-BY). en_US
dc.description.cluster Smart Places en_US
dc.description.impactarea Urban and Regional Dynamics en_US
dc.identifier.apacitation Van Heerden, Q., & Van Vuuren, J. (2022). Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach. <i>Town and Regional Planning, 81</i>, http://hdl.handle.net/10204/12791 en_ZA
dc.identifier.chicagocitation Van Heerden, Quintin, and J Van Vuuren "Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach." <i>Town and Regional Planning, 81</i> (2022) http://hdl.handle.net/10204/12791 en_ZA
dc.identifier.vancouvercitation Van Heerden Q, Van Vuuren J. Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach. Town and Regional Planning, 81. 2022; http://hdl.handle.net/10204/12791. en_ZA
dc.identifier.ris TY - Article AU - Van Heerden, Quintin AU - Van Vuuren, J AB - Sustainable development is at the heart of city planning, and urbanisation plays a central role in achieving the Sustainable Development Goals. Urbanisation, however, is interlaced with existential challenges such as climate change. The National Government has developed an overabundance of national plans to foster sustainable economic development, which has led to a plethora of acts that place many statutory requirements on municipalities. This article gives a critical review of these national plans, the statutory requirements, and the resultant planning frameworks and instruments. The main findings are that many national plans did not make adequate progress and that acts and planning instruments do not require policy interventions or long-term visions to be tested before being implemented. This might contribute to fragmentation, poor coordination, and neglecting the impact of climate change. Case studies based on simulation models being used locally as decision-support tools are presented before a case is made for the use of Integrated Land Use and Transport models to test policy interventions that include urban and climate planning. An enhanced simulation-optimisation framework is proposed to allow planners to determine the best means to achieve specific targets. This framework is useful as many government departments know ‘what’ they wish to achieve, but often struggle to determine ‘how’ to achieve these targets, let alone whether they are even achievable. DA - 2022-12 DB - ResearchSpace DP - CSIR J1 - Town and Regional Planning, 81 KW - Climate change planning KW - Simulation-optimisation KW - Sustainable development KW - Spatial planning KW - Urban growth simulation models LK - https://researchspace.csir.co.za PY - 2022 T1 - Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach TI - Evidence-based decision-making in supporting integrated local-level urban and climate change adaptation planning simultaneously: A simulation-optimisation approach UR - http://hdl.handle.net/10204/12791 ER - en_ZA
dc.identifier.worklist 26394 en_US


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