INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA

INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA

Intensive end-user research in the “Affordable Housing Sector” in R.S A. became necessary to find ways to counter ever increasing delivery costs and still satisfy preferences, quality and affordability. Research has to be followed up by innovative designs and lower cost and faster construction metho...

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Main Author: Koen, Daniel De Witt
Format: Online
Language:eng
por
Published: Universidade de São Paulo. Instituto de Arquitetura e Urbanismo 2010
Online Access:https://www.revistas.usp.br/gestaodeprojetos/article/view/79515
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record_format ojs
institution Universidade de São Paulo
collection OJS
language eng
por
format Online
author Koen, Daniel De Witt
spellingShingle Koen, Daniel De Witt
INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA
author_facet Koen, Daniel De Witt
author_sort Koen, Daniel De Witt
title INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA
title_short INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA
title_full INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA
title_fullStr INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA
title_full_unstemmed INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA
title_sort innovative design management and development control case study: nelson mandela bay metropole – south africa
description Intensive end-user research in the “Affordable Housing Sector” in R.S A. became necessary to find ways to counter ever increasing delivery costs and still satisfy preferences, quality and affordability. Research has to be followed up by innovative designs and lower cost and faster construction methods without forfeiting quality and aesthetics. Land cost and density design balanced with environmental quality became of utmost importance in any sustainable development. The same accounts for locality to achieve neighbourhood revitalization. A typical example is the Nelson Mandela Bay Metropole in South Africa where 100,000 dwellings need to be constructed in3-5 years to wipe out the back-log. The amount of data relating to a single dwelling is vast and with a large development even more significant. Traditionally the data is stored in diverse locations, for example, with government authorities, architects or other professionals, a developer, sub-contractor, conveyancer, financial institution or owner. Substantial delays and inefficiency result if existing data cannot be accessed rapidly, or at all. An electronic spatial process and data control system that is uniquely and physically associated with a particular house was successfully developed to address most of the problems we experienced.
publisher Universidade de São Paulo. Instituto de Arquitetura e Urbanismo
publishDate 2010
url https://www.revistas.usp.br/gestaodeprojetos/article/view/79515
work_keys_str_mv AT koendanieldewitt innovativedesignmanagementanddevelopmentcontrolcasestudynelsonmandelabaymetropolesouthafrica
AT koendanieldewitt gestaoinovadoradeprojetoseestudodecasodecontroledeempreendimentonelsonmandelabaymetropoleafricadosul
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spelling oai:revistas.usp.br:article-795152020-07-05T18:34:03Z INNOVATIVE DESIGN MANAGEMENT AND DEVELOPMENT CONTROL CASE STUDY: NELSON MANDELA BAY METROPOLE – SOUTH AFRICA GESTÃO INOVADORA DE PROJETOS E ESTUDO DE CASO DE CONTROLE DE EMPREENDIMENTO: NELSON MANDELA BAY METROPOLE – ÁFRICA DO SUL Koen, Daniel De Witt África do Sul habitação econômica empreendimento imobiliário sustentabilidade qualidade projeto Nelson Mandela Bay Metropole South Africa Affordable Housing Affordability Development Land Sustainability Quality Design Control Nelson Mandela Bay Metropole. Intensive end-user research in the “Affordable Housing Sector” in R.S A. became necessary to find ways to counter ever increasing delivery costs and still satisfy preferences, quality and affordability. Research has to be followed up by innovative designs and lower cost and faster construction methods without forfeiting quality and aesthetics. Land cost and density design balanced with environmental quality became of utmost importance in any sustainable development. The same accounts for locality to achieve neighbourhood revitalization. A typical example is the Nelson Mandela Bay Metropole in South Africa where 100,000 dwellings need to be constructed in3-5 years to wipe out the back-log. The amount of data relating to a single dwelling is vast and with a large development even more significant. Traditionally the data is stored in diverse locations, for example, with government authorities, architects or other professionals, a developer, sub-contractor, conveyancer, financial institution or owner. Substantial delays and inefficiency result if existing data cannot be accessed rapidly, or at all. An electronic spatial process and data control system that is uniquely and physically associated with a particular house was successfully developed to address most of the problems we experienced. Uma pesquisa Intensiva com os usuários finais no setor da Habitação Econômica da República Sul-Africana tornou-se necessário para encontrar formas de enfrentar o contínuo aumento dos custos e ainda continuar a satisfazer as preferências, com qualidade e acessibilidade. A pesquisa tem de ser sucedida por projetos inovadores e métodos construtivos rápidos e de baixo custo, sem perder qualidade e estética. Os custos de terreno e o adensamento dos projetos, em equilíbrio com a qualidade ambiental, tornaram-se de enorme importância em qualquer empreendimento sustentável. O mesmo se aplica às vizinhanças, quanto à revitalização dos bairros. Um exemplo típico é o Nelson Mandela Bay Metropole na África do Sul, onde 100.000 unidades habitacionais precisam ser construídas em um período de três a cinco anos para acabar com o déficit. A quantidade de dados relativos a uma única habitação é vasta e, em um grande empreendimento, ainda mais significativa. Tradicionalmente, os dados são armazenados em vários locais, por exemplo, com autoridades governamentais, arquitetos ou outros profissionais, empreendedores, subcontratados, agentes imobiliários, instituições financeiras ou proprietários. Baixa eficiência e atrasos substanciais são o resultado, quando os dados existentes não podem ser acessados rapidamente, ou não são encontrados. Um processo de localização espacial e sistema de controle de dados física e inequivocamente associado com cada particular unidade habitacional foi desenvolvido para resolver com sucesso a maioria desses problemas. Universidade de São Paulo. Instituto de Arquitetura e Urbanismo 2010-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado Por Pares Peer Reviewed Evaluado por Pares application/pdf application/pdf https://www.revistas.usp.br/gestaodeprojetos/article/view/79515 10.4237/gtp.v5i3.178 Gestão & Tecnologia de Projetos; v. 5 n. 3 (2010): Gestão e tecnologia de projetos no mundo; p. 2-26 Gestão & Tecnologia de Projetos (Design Management and Technology); Vol. 5 No. 3 (2010): Special Edition: Design Management and Technology around the World; p. 2-26 Gestão & Tecnologia de Projetos (Gestión y tecnología de proyectos); Vol. 5 Núm. 3 (2010): Gestão e tecnologia de projetos no mundo; p. 2-26 1981-1543 eng por https://www.revistas.usp.br/gestaodeprojetos/article/view/79515/83560 https://www.revistas.usp.br/gestaodeprojetos/article/view/79515/83561 Copyright (c) 2015 Daniel De Witt Koen

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