Use este identificador para citar ou linkar para este item: http://repositorio.ufc.br/handle/riufc/68006
Tipo: Artigo de Periódico
Título: Factors affecting the choice of urban freight vehicles: issues related to brazilian companies
Autor(es): Oliveira, Leise Kelli de
Bertoncini, Bruno Vieira
Nascimento, Carla de Oliveira Leite
Rocha, Lara Braide
Batista, Larissa Almeida Matias de Lima
Cellin, Leonardo Ventorim
Palavras-chave: City logistics;Urban freight transport;Freight vehicles;Attributes of choice;Statistical analysis;Ordered logistics regression model
Data do documento: 2019
Instituição/Editor/Publicador: Sustainability
Citação: BERTONCINI, B. V. et al. Factors affecting the choice of urban freight vehicles: issues related to brazilian companies. Sustainability, vol. 11, n. 24, 2019. DOI: 10.3390/su11247010
Abstract: In this paper, we present the attributes that influence the choice of an urban freight vehicle by using a systematic literature review and a survey conducted with logistics operators that perform urban deliveries in some of the biggest cities in Brazil. The results obtained facilitate the analysis and determination of the main attributes of vehicle selection in some cities of Brazil. Descriptive statistics are used to describe the characteristics of the companies, and a principal component analysis identifies the dependent variables, in order to evaluate the importance of each attribute. Also, an ordered logistic regression model is used to identify if the characteristics of the companies influence the choice of an urban freight vehicle. The results of this analysis indirectly indicate the dependence of the decision-making process on the logistics policies implemented in a given city. These attributes agree with those in the literature review. These results, despite of being evident, are different from the present selection criteria, which depend on local city policies.
URI: http://www.repositorio.ufc.br/handle/riufc/68006
ISSN: 2071-1050
Aparece nas coleções:DET - Artigos publicados em revista científica

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