Digital approaches for evaluating urban indicators: an application of CityMetrics for analysis of two neighborhoods in Juiz de Fora, Brazil

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Vallone, Luiza; Costa, Frederico; Scafutto, Lucas; Lima, Fernando

Artigo:

This paper describes the application of CityMetrics, a system that articulates computational resources to analyze and optimize the performance of urban configurations. In this context, some indicators (and algorithms) such as Physical and Topological proximity, Spacematrix and Mixed-Use Index were used for analysis, optimization and comparison of two neighborhoods in the city of Juiz de Fora, Brazil. The objective of this research is to verify the possibilities of using computational tools to analyze and propose modifications in neighborhoods and cities, contributing to the decision making in the urban context.

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Palavras-chave:

DOI: 10.5151/sigradi2018-1662

Referências bibliográficas

• [1] Calthorpe, P.; Fulton, W. (2001). The regional city: planning for the end of sprawl. Washington: Island Press. Cervero, R.; Kockelman, K. (1997). Travel demand and the 3Ds: density, diversity, and design. Transportation Research Part D: Transport and Environment, 2, 199-219. Dittmar, H.; Ohland, G. (2004). The new transit town: Best practices in transit-oriented development. Washington: Island Press. Hillier, B.; Hanson, J. The social logic of space. Cambridge: Cambridge University Press, 1984. Lima, F. Métricas Urbanas: Sistema (para)métrico para análise e otimização de configurações urbanas de acordo com métricas de avaliação de desempenho. Rio de Janeiro, 2017. Tese (Doutorado em Urbanismo) Faculdade de Arquitetura e Urbanismo, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 2017. Lima, F.; Kos, J. R.; Montenegro, N.; "Otimização multi-objetivo e Desenvolvimento Orientado pelo Transporte: algoritmos evolutivos em estratégias de planejamento urbano", p. 601-608. In: XX Congreso de la Sociedad Iberoamericana de Gráfica Digital [=Blucher Design Proceedings, v.3 n.1]. São Paulo: Blucher, 2016. 7 Organização das Nações Unidas. Retrieved from: https://nacoesunidas.org/onu-mais-de-70-da-populacao-mundial-vivera-em-cidades-ate-2050/ Pont, M. B.; Haupt, P. (2009). Spacematrix: Space, Density and Urban Form. Rotterdam: NAI Publishers, 2009. Suzuki, H.; Cervero, R.; Iuchi, K. (2013). Transforming cities with transit: Transit and land-use integration for sustainable urban development. Washington: Word Bank. Van den Hoek, J. W. (2008) The MXI (Mixed-use Index) as Tool for Urban Planning and Analysis. (Paper 03) In Corporations and Cities: Envisioning Corporate Real Estate in the Urban Future. Available 26 May 2008. Delft, Holanda: TU Delft, 2008. Disponível em: www.corporationsandcities.org

Como citar:

Vallone, Luiza; Costa, Frederico; Scafutto, Lucas; Lima, Fernando; "Digital approaches for evaluating urban indicators: an application of CityMetrics for analysis of two neighborhoods in Juiz de Fora, Brazil", p-324-330. In: . São Paulo: Blucher, 2018.
ISSN 23186968, DOI 10.5151/sigradi2018-1662