ABSTRACT Logistics hubs affect the distribution patterns in transportation networks since they are flow-concentrating structures. Indeed, the efficient moving of goods throughout supply chains depends on the design of such networks. This paper presents a literature review on the logistics hub location problem, providing an outline of modeling approaches, solving techniques, and their applicability to such context. Two categories of models were identified. While multi-criteria models may seem best suited to find optimal locations, they do not allow an assessment of the impact of new hubs on goods flow and on the transportation network. On the other hand, single-criterion models, which provide location and flow allocation information, adopt network simplifications that hinder an accurate representation of the relationshipbetween origins, destinations, and hubs. In view of these limitations we propose future research directions for addressing real challenges of logistics hubs location regarding transportation networks design.

ResumoO presente trabalho analisa a localização e concentração das atividades logísticas no Brasil, com destaque para os estados de Pernambuco, Goiás e Santa Catarina. Para identificar estas concentrações foram usados dados relativos ao número de funcionários que atuam nos vários grupos de atividades econômicas relacionados a transporte e logística. Os resultados mostram que há concentrações de atividades logísticas em torno dos grandes mercados consumidores, dos complexos industriais, de algumas zonas de produção agrícola e dos terminais portuários. Com base na revisão de literatura, a caracterização dos fatores que contribuem para a decisão de localização destas instalações, bem como para o fenômeno de concentração, também é apresentada. Por fim, as concentrações de atividades logísticas são classificadas de acordo com a taxonomia proposta por Savy (2005).

AbstractThis paper is about the location and concentration of logistics activities in Brazil, especially in Pernambuco, Goiás and Santa Catarina states. In order to identify these concentrations, data concerning the number of employees who work in economic activities sectors related to transport and logistics were used. The findings indicate concentrations of logistics activities around the large consumer markets, industrial complexes, agricultural production and port terminal areas. Based on the literature, factors contributing to the location decision as well as concentration phenomenon of these facilities are also presented. Lastly, logistic activities concentrations are classified under the taxonomy proposed by Savy (2005).

Este trabalho desenvolve um modelo, baseado em técnicas exploratórias de dados e de estatística multivariada, que permite identificar as variáveis mais relevantes associadas ao sucesso da implementação de programas de reciclagem de resíduos de construção e demolição (RCD) nos municípios brasileiros. Os resultados da pesquisa mostraram que existem diferenças marcantes entre as cidades que implantaram programas de reciclagem de RCD e aquelas que não implantaram. As variáveis mais significativas encontradas foram: percentual de funcionários de nível médio que trabalham na prefeitura, renda média anual do município, percentual de domicílios com água, existência de programas de coleta seletiva de lixo, programas de incentivo para geração de trabalho e renda e existência de áreas de recepção de entulhos, a maioria relacionadas à gestão municipal.

This work develops a model, based on exploratory data analysis and multivariate statistics, to identify the regional variables that most contribute to the success in the implementation of construction and demolition waste (CDW) recycling programs in Brazilian cities. The results showed noteworthy differences between cities that had implemented programs of CDW recycling and those that did not. The most significant variables were the number of mid-level education employees in the city hall, the city annual average income, the percentage of household water supply connections, the existence of programs of selective domestic waste collection, programs to stimulate work and income and areas of waste deposition. Most of the variables are related to city administration.