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 | Acesso ao texto completo restrito à biblioteca da Embrapa Territorial. Para informações adicionais entre em contato com cnpm.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
11/01/2023 |
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Data da última atualização: |
15/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, M. F. DE; TISLER, T. R.; CASTRO, G. S. A.; OLIVEIRA, A. L. R. DE. |
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Afiliação: |
MARLON FERNANDES DE SOUZA, UNICAMP; TREVOR RAY TISLER, UNIVERSITY OF BONN; GUSTAVO SPADOTTI AMARAL CASTRO, CNPM; ANDRÉA LEDA RAMOS DE OLIVEIRA, UNICAMP. |
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Título: |
Port regionalization for agricultural commodities: Mapping exporting port hinterlands. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Journal of Transport Geography, v. 106, jan. 2023. |
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ISBN: |
0966-6923 |
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DOI: |
https://doi.org/10.1016/j.jtrangeo.2022.103506 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Reductions in maritime transport costs have increased cargo displacement within countries, demanding improvements in internal logistics, mainly in developing countries. Port regionalization can be applied for impact analysis of logistics infrastructure projects, enabling the delimitation of the proposed infrastructure zone of influence for advanced economic, social, and environmental studies. This article primarily aims to test whether the proposed model can efficiently delimit port hinterlands. We built a model that finds the potential destination port according to parameterized logistics cost (considering the actual distance, slope, and spatial variation of road freight), solved by the Fast Sweeping Method algorithm for Eikonal equations. We present an example of model application in Brazil's grain export supply chain and validate the model's result by comparing it with Embrapa's model hinterlands. Then, a future scenario considering the railway project EF-170 (Ferrogrão) shows the possible change in the spatial configuration of Brazilian ports' hinterlands. Furthermore, the planned route for this railway project is entirely inside the Amazon biome, requiring special environmental attention in the proposed infrastructure's zone of influence. We conclude that the model presented adheres to the practical hinterlands and can support the impact analyses of large logistics projects, contributing to suitability analyses and proposals for mitigating the impacts caused by infrastructure. MenosABSTRACT: Reductions in maritime transport costs have increased cargo displacement within countries, demanding improvements in internal logistics, mainly in developing countries. Port regionalization can be applied for impact analysis of logistics infrastructure projects, enabling the delimitation of the proposed infrastructure zone of influence for advanced economic, social, and environmental studies. This article primarily aims to test whether the proposed model can efficiently delimit port hinterlands. We built a model that finds the potential destination port according to parameterized logistics cost (considering the actual distance, slope, and spatial variation of road freight), solved by the Fast Sweeping Method algorithm for Eikonal equations. We present an example of model application in Brazil's grain export supply chain and validate the model's result by comparing it with Embrapa's model hinterlands. Then, a future scenario considering the railway project EF-170 (Ferrogrão) shows the possible change in the spatial configuration of Brazilian ports' hinterlands. Furthermore, the planned route for this railway project is entirely inside the Amazon biome, requiring special environmental attention in the proposed infrastructure's zone of influence. We conclude that the model presented adheres to the practical hinterlands and can support the impact analyses of large logistics projects, contributing to suitability analyses and proposals for mitigating the impacts caused b... Mostrar Tudo |
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Palavras-Chave: |
Fast sweeping method; Logistic basin; Port hinterland; Seaport; Strategic planning. |
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Thesaurus Nal: |
Deforestation. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02286naa a2200253 a 4500
001 2150872
005 2023-02-15
008 2023 bl uuuu u00u1 u #d
022 $a0966-6923
024 7 $ahttps://doi.org/10.1016/j.jtrangeo.2022.103506$2DOI
100 1 $aSOUZA, M. F. DE
245 $aPort regionalization for agricultural commodities$bMapping exporting port hinterlands.$h[electronic resource]
260 $c2023
520 $aABSTRACT: Reductions in maritime transport costs have increased cargo displacement within countries, demanding improvements in internal logistics, mainly in developing countries. Port regionalization can be applied for impact analysis of logistics infrastructure projects, enabling the delimitation of the proposed infrastructure zone of influence for advanced economic, social, and environmental studies. This article primarily aims to test whether the proposed model can efficiently delimit port hinterlands. We built a model that finds the potential destination port according to parameterized logistics cost (considering the actual distance, slope, and spatial variation of road freight), solved by the Fast Sweeping Method algorithm for Eikonal equations. We present an example of model application in Brazil's grain export supply chain and validate the model's result by comparing it with Embrapa's model hinterlands. Then, a future scenario considering the railway project EF-170 (Ferrogrão) shows the possible change in the spatial configuration of Brazilian ports' hinterlands. Furthermore, the planned route for this railway project is entirely inside the Amazon biome, requiring special environmental attention in the proposed infrastructure's zone of influence. We conclude that the model presented adheres to the practical hinterlands and can support the impact analyses of large logistics projects, contributing to suitability analyses and proposals for mitigating the impacts caused by infrastructure.
650 $aDeforestation
653 $aFast sweeping method
653 $aLogistic basin
653 $aPort hinterland
653 $aSeaport
653 $aStrategic planning
700 1 $aTISLER, T. R.
700 1 $aCASTRO, G. S. A.
700 1 $aOLIVEIRA, A. L. R. DE
773 $tJournal of Transport Geography$gv. 106, jan. 2023.
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