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Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth

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dc.contributor.author Green, Chéri A
dc.contributor.author Mans, Gerbrand G
dc.date.accessioned 2017-05-16T13:15:32Z
dc.date.available 2017-05-16T13:15:32Z
dc.date.issued 2016-08
dc.identifier.citation Green, C. and Mans, G. 2016. Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth. Paper presented at: Preparing for Smart Cities- Concept, Planning, Governance: Civics BRICS Conference 2016, 17-19 August 2016, Jaipur, India en_US
dc.identifier.uri http://www.sabrics-thinktank.org.za/dynamic/uploads/documents/2Smart%20Cities%202016_CGreen%20Final.pdf
dc.identifier.uri http://hdl.handle.net/10204/9079
dc.description Paper presented at Preparing for Smart Cities- Concept, Planning, Governance: Civics BRICS Conference 2016, 17-19 August 2016, Jaipur, India en_US
dc.description.abstract This paper describes a rational approach to the planning of social facility provision to eradicate service backlogs of the current period as well as preparing for the future. For more than a decade a GIS based methodology has been used in South Africa to assess and plan for the provision of social facilities and to provide input to integrated social facility development plans which are not only defensible but enable smart decision making that impacts meaningfully on investment priorities. This enables the greatest impact from the least number of investment locations to maximise return on investment. To support this work the CSIR has consolidated, refined and adjusted guideline standards that not only specify a provision ratio for each facility but also define a specific distance that should be used to measure accessibility in different contexts. Planning and implementation flowing from this occurs in an environment full of pressures relating to insufficient resources to deal with the quantum of the development challenge, competing political and administrative priorities, and critical skills shortages. While not initially driven from a Smart City perspective and currently not enabled by real time data, the approach can, nonetheless, be seen as a major step toward “smart” planning processes to support smart cities of the future. A case study application in Cape Town is used to illustrate the application of the methodology of spatially matching supply and demand for facilities using GIS tools. These tools make use of guideline provision standards that combine both distance and capacity as an input to the models to achieve spatial alignment of new facility provision investment that can respond timeously to city growth. To date this analysis approach has been used to inform planning for capital budget processes in a number of cities to improve service access that impacts 28% of the South African population. en_US
dc.language.iso en en_US
dc.publisher South African BRICS Think Tank en_US
dc.relation.ispartofseries Worklist;18109
dc.subject Accessibility modelling en_US
dc.subject GIS facility planning en_US
dc.title Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Green, C. A., & Mans, G. G. (2016). Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth. South African BRICS Think Tank. http://hdl.handle.net/10204/9079 en_ZA
dc.identifier.chicagocitation Green, Cheri A, and Gerbrand G Mans. "Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth." (2016): http://hdl.handle.net/10204/9079 en_ZA
dc.identifier.vancouvercitation Green CA, Mans GG, Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth; South African BRICS Think Tank; 2016. http://hdl.handle.net/10204/9079 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Green, Cheri A AU - Mans, Gerbrand G AB - This paper describes a rational approach to the planning of social facility provision to eradicate service backlogs of the current period as well as preparing for the future. For more than a decade a GIS based methodology has been used in South Africa to assess and plan for the provision of social facilities and to provide input to integrated social facility development plans which are not only defensible but enable smart decision making that impacts meaningfully on investment priorities. This enables the greatest impact from the least number of investment locations to maximise return on investment. To support this work the CSIR has consolidated, refined and adjusted guideline standards that not only specify a provision ratio for each facility but also define a specific distance that should be used to measure accessibility in different contexts. Planning and implementation flowing from this occurs in an environment full of pressures relating to insufficient resources to deal with the quantum of the development challenge, competing political and administrative priorities, and critical skills shortages. While not initially driven from a Smart City perspective and currently not enabled by real time data, the approach can, nonetheless, be seen as a major step toward “smart” planning processes to support smart cities of the future. A case study application in Cape Town is used to illustrate the application of the methodology of spatially matching supply and demand for facilities using GIS tools. These tools make use of guideline provision standards that combine both distance and capacity as an input to the models to achieve spatial alignment of new facility provision investment that can respond timeously to city growth. To date this analysis approach has been used to inform planning for capital budget processes in a number of cities to improve service access that impacts 28% of the South African population. DA - 2016-08 DB - ResearchSpace DP - CSIR KW - Accessibility modelling KW - GIS facility planning LK - https://researchspace.csir.co.za PY - 2016 T1 - Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth TI - Smart facility location planning for Smart Cities: using GIS technology and facility provision standards for pro-active planning of social facilities to support smart growth UR - http://hdl.handle.net/10204/9079 ER - en_ZA


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