Identification of Development Poles on Brazilian Amazon Region and Analysis of the Geographic Accessibility

Keywords: Theory of development poles; spatial analysis, Amazon region.

Abstract

Identification of development poles within the regional planning is important for defining the nodes of a given transport network and plays the role of driving economic growth in a region. Nevertheless, such proceedings are complex, especially in some areas where there is a lack of data that could support studies of this nature, for example in the case of the Amazon region. Thus, this study aims to identify development poles using spatial analysis of production values of soya, coffee, wood, and mineral products like cassiterite, aluminum ore, iron ore and copper. In addition, the geographic accessibility analysis was carried out at these poles in order to identify the potential of the transport network to be structured. Results demonstrated that it is possible to build a dense transport network by identifying more development poles, which would increase the connectivity, allowing more intense exchange of flows and development of the region.

Downloads

Download data is not yet available.

Author Biographies

Alex Mota dos Santos, Goias Federal University, Brazil.

PhD in Geography, Goias Federal University, Transport Engineering Professor, Brazil.

Cristiano Farias Almeida, Goias Federal University, Brazil.

PhD in Transport Engineering, Goias Federal University, Transport Engineering Professor, Brazil.

Daniel de Oliveira Soares, New University of Lisbon, Portugal.

Master in GIS & Science, New University of Lisbon, Portugal.

Carlos Fabricio Assunção da Silva, Federal University of Pernambuco, Brazil.

Master in Geodetic Sciences and Geoinformation Technologies, Federal University of Pernambuco, Brazil.

References

Almeida, C. F. (2008). Elaboração de rede de transporte multimodal de carga para a região amazônica sob o enfoque de desenvolvimento econômico.

Almeida, C. F., Gularte, J. G., & Yamashita, Y. (2014). Guidelines to devise a multimodal freight transportation network in developing regions under economic growth approach. Procedia-Social and Behavioral Sciences, 162, 90-100.

Anselin, L. (1996). The Moran scatterplot as an ESDA tool to assess local instability in spatial. Spatial Analytical, 4, 111.

ANTP. (1999) Transporte Humano: Cidades com Qualidade de Vida, Brasília, Brasil.

Balyani, S., Rointan, S., Qelichi, M.M. Halimi, M., Mohamadi, C. (2017). "Evaluating spatial structure of annual rainfall in relation to local factors in Iran", Spatial Information Research, 2017.

Boudeville, J. R. (1963). Lês espaces économiques. Paris, Presses Universitaries de France. Paris, France.

Câmara, G., Carvalho, A. M. V., Cruz, O. G. e Correia. V. (2001). Análise de Dados de Área. Ln Fiks, S. D.; M. S. Carvalho; G. Câmara; A. M. V. Monteiro (eds). Análise Espacial de Dados Geográficos. Instituto Nacional de Pesquisas Espaciais – Divisão de Processamento de Imagens, São José dos Campos, São Paulo.

Handy, S. L., & Niemeier, D. A. (1997). Measuring accessibility: an exploration of issues and alternatives. Environment and planning A, 29(7), 1175-1194.

Henrique, C. S. (2004). Diagnóstico espacial da mobilidade e da acessibilidade dos usuários do sistema integrado de transporte de fortaleza.

IBGE. (2000). Produção Agrícola Municipal – 2000. Brasília, Brasil.

Kraft, G., Meyer, J. R., & Valette, J. P. (1971). role of transportation in regional economic development.

Lopes, A. S. (2001). Desenvolvimento Regional – Problemática, Teorias e Modelos. 5 ed. Fundação Calouste Gulbenkian, Lisboa, Portugal.

Lopes, S. B. (2005). Efeitos da dependência espacial em modelos de previsão de demanda por transporte (Doctoral dissertation, Universidade de São Paulo).

Mäcke, P. A. (1974). Personenverkehr in Stadt und Region: Weiterentwicklung des Algorithmus zur Schätzung der strukturbedingten Nachfrage. Inst. für Stadtbauwesen, Rheinisch-Westf. Techn. Hochsch..

Oliveira Júnior, A. P. D. (2013). A cadeia produtiva da soja na fronteira agrícola Oeste: O caso da Fazenda Tucano no município de Vilhena-RO.

Orlando, O., Togo, L. "Spatial Interpolation Using Multiple Regression", 2012 IEEE 12th International Conference on Data Mining, 2012.

Portugal, L.S. (2012). Polos Geradores de Viagens orientados a qualidade de vida ambiental: modelos e taxas de geração de viagens. Editora Interciência.

Rausch, L. L., & Gibbs, H. K. (2016). Property arrangements and soy governance in the Brazilian state of Mato Grosso: Implications for deforestation-free production. Land, 5(2), 7.

Richardson, H. W. (1969). Elements of Regional Economics. Peguin Books Inc. Middlesex, England.

Rodrigue, J.P.; Comtois, B.S. (2006). The Geography of Transport Systems. Taylor & Francis.

Sahitya, K. S., Prasad, C. S. R. K. (2020). Evaluation of opportunity based urban road network accessibility using GIS, Spatial Information Research.

Silva, R. G. C. (2014). A regionalização do agronegócio da soja em Rondônia. GEOUSP Espaço e Tempo (Online), 18(2), 298-312.

Silva, R. G. C. (2013). Globalização, agricultura e a formação do meio técnico-científico-informacional em Rondônia. Acta Geográfica, 7(15).

Souza, N. J. (2005). Desenvolvimento Econômico. Editora Atlas S.A., 5ª. Edição revisada, São Paulo, Brasil.

Teixeira, G. L. (2003). Utilização de Dados Censitários para Identificação de Zonas Homogêneas para Planejamento de Transportes Utilizando Estatística Espacial. ENC/UnB, Brasília, DF.

Teodorovic, D. (1986). Transportation networks: a quantitative treatment (Vol. 6). Taylor & Francis.

Théry, H. (1997). Configurações territoriais na Amazônia. Ministério do Meio Ambiente, Caderno do NAPIAm, (3).

Vasconcellos, E. A. (2000). Transporte urbano nos países em desenvolvimento: reflexões e propostas. Annablume.
Published
2020-11-23
How to Cite
Mota dos Santos, A., Farias Almeida, C., de Oliveira Soares, D., & Assunção da Silva, C. (2020). Identification of Development Poles on Brazilian Amazon Region and Analysis of the Geographic Accessibility. Amazonia Investiga, 9(34), 85-101. https://doi.org/10.34069/AI/2020.34.10.9
Section
Articles
Bookmark and Share