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Proposal for Analysis of Location of Popular Residential Using the p-Median

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Smart and Digital Cities

Part of the book series: Urban Computing ((UC))

Abstract

The location of projects in the My House My Life Program (PMCMV) is of great importance because it is not only a business relationship between buyers and developers, but also a contribution to the social transformation. The use of modern tools that help the launching plan of Real Estate companies, financiers, and buyers is a constant challenge to the sector, which requires accurate decisions. This article proposes a new tool for the planning of PMCMV residential real estate projects, using Operations Research techniques such as the p-median to locate candidate areas to receive ventures as close as possible to the existing potential demands. In order to illustrate the proposed method, a detailed case study was carried out in the Municipality of Rio de Janeiro. The results obtained in the case study demonstrate, in some cases, large variations between the positions of higher demand and the launches of developments in the PMCMV format promoted by the market.

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Further Reading

  1. Azevedo, B.F.: Método de localização de áreas candidatas a receberem empreendimentos residenciais com utilização da p-mediana: Um estudo do Município do Rio de Janeiro. 16ł Conferência Internacional da LARES (2016)

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  2. Azevedo, B.F.: Proposta de análise de demanda residencial para terrenos com base nos dados do IBGE Um estudo de caso no Município do Rio de Janeiro. 16ł Conferência Internacional da LARES (2016)

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  3. Lorena, L.A.N., Senne, E.L.F., Paiva, J.A.C., Pereira, M.A.: Integração de Modelos de Localização a Sistemas de Informações Geogrf́icas. Gest. Prod. 8(2), 180–195 (2001)

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Authors and Affiliations

  1. UNESA Productivity Research Program Scholarship, Universidade Estácio de Sá-UNESA, Petrópolis, RJ, Brazil

    Bruno F. de Azevedo

  2. Universidade Católica de Petrópolis, Petrópolis, RJ, Brazil

    Nelio D. Pizzolato

Authors
  1. Bruno F. de Azevedo
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  2. Nelio D. Pizzolato
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Editor information

Editors and Affiliations

  1. Institute of Computer Science, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil

    Vitor Nazário Coelho

  2. Instituto de Matemática e Estatística, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil

    Igor Machado Coelho

  3. Department of Engineering and Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain

    Thays A.Oliveira

  4. Institute of Computer Science, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil

    Luiz Satoru Ochi

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de Azevedo, B.F., Pizzolato, N.D. (2019). Proposal for Analysis of Location of Popular Residential Using the p-Median. In: Nazário Coelho, V., Machado Coelho, I., A.Oliveira, T., Ochi, L.S. (eds) Smart and Digital Cities. Urban Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-12255-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-12255-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12254-6

  • Online ISBN: 978-3-030-12255-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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