Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina

Fil: Hidalgo Carvajal, David. Universidad Politécnica de Madrid; España.

Guardado en:
Detalles Bibliográficos
Autores principales: Hidalgo Carvajal, David, Heckmann, Gerardo Oscar, Vega, Juan José
Otros Autores: https://orcid.org/0000-0001-7771-0906
Formato: bookPart
Lenguaje:Inglés
Publicado: Emerald Publishing 2024
Materias:
City logistics
Statistical analysis
Last mile deliveries
Clustering
Mid-sized city
Emerging markets
Acceso en línea:http://hdl.handle.net/11086/554444
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R141-11086-554444
record_format dspace
spelling I10-R141-11086-5544442024-12-02T21:55:15Z Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina Hidalgo Carvajal, David Heckmann, Gerardo Oscar Vega, Juan José https://orcid.org/0000-0001-7771-0906 https://orcid.org/0009-0008-1459-7756 City logistics Statistical analysis Last mile deliveries Clustering Mid-sized city Emerging markets Fil: Hidalgo Carvajal, David. Universidad Politécnica de Madrid; España. Fil: Heckmann, Gerardo Oscar. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Fil: Vega, Juan José. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. With an increasing urbanization trend over the last decades, urban agglomerations are facing different challenges that affect its inhabitants: pollution, traffic congestion, thriving population growth rates, and economic uncertainty. In the context of Latin America, where less than 20% of its inhabitants live in rural areas and with a projection to decrease to close to 10% by the year 2030, providing solutions to reduce the impact of this increase of population, on at least one of the issues, seems logical. This study focuses on the urban logistics component to propose a classification method for homogeneous areas, using Factor Analysis (FA) and analysis of variance (ANOVA) as the main supporting tools. The proposed methodology builds upon the square kilometer (KM2) methodology developed by MIT Center for Transportation and Logistics, applying it in a neuralgic section of the downtown area of a mid-sized city in Latin America: Cordoba, Argentina. The selection was made considering the logistic ´restrictions, commercial density, and the relevance of the area for the city. Our proposed methodology uses relevant variables for urban logistics to perform the statistical analysis. The main goal is to develop a data-driven methodology to identify clusters to guide Cordoba ´ ’s urban logistics policy and decision-making processes. The results suggest a clear relationship between the different commercial activities and the location inside the area, splitting the area under study clearly into two main sections with similar overall characteristics and two subsections inside each one of them, which should be considered as a basis for further urban logistic analysis and implementation of specific best practices that fit the particular needs. https://doi.org/10.1108/978-1-83909-331-920201015 Fil: Hidalgo Carvajal, David. Universidad Politécnica de Madrid; España. Fil: Heckmann, Gerardo Oscar. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Fil: Vega, Juan José. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina. Negocios y Administración 2024-12-02T20:53:07Z 2024-12-02T20:53:07Z 2021 bookPart 978-1-83909-333-3 http://hdl.handle.net/11086/554444 978-1-83909-331-9 10.1108/978-1-83909-331-920201015 eng Atribución – No Comercial – Sin Obra Derivada 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ Impreso; Electrónico y/o Digital Emerald Publishing
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic City logistics
Statistical analysis
Last mile deliveries
Clustering
Mid-sized city
Emerging markets
spellingShingle City logistics
Statistical analysis
Last mile deliveries
Clustering
Mid-sized city
Emerging markets
Hidalgo Carvajal, David
Heckmann, Gerardo Oscar
Vega, Juan José
Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina
topic_facet City logistics
Statistical analysis
Last mile deliveries
Clustering
Mid-sized city
Emerging markets
description Fil: Hidalgo Carvajal, David. Universidad Politécnica de Madrid; España.
author2 https://orcid.org/0000-0001-7771-0906
author_facet https://orcid.org/0000-0001-7771-0906
Hidalgo Carvajal, David
Heckmann, Gerardo Oscar
Vega, Juan José
format bookPart
author Hidalgo Carvajal, David
Heckmann, Gerardo Oscar
Vega, Juan José
author_sort Hidalgo Carvajal, David
title Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina
title_short Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina
title_full Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina
title_fullStr Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina
title_full_unstemmed Identifying underlying urban logistics factors in old downtown of Córdoba, Argentina
title_sort identifying underlying urban logistics factors in old downtown of córdoba, argentina
publisher Emerald Publishing
publishDate 2024
url http://hdl.handle.net/11086/554444
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AT heckmanngerardooscar identifyingunderlyingurbanlogisticsfactorsinolddowntownofcordobaargentina
AT vegajuanjose identifyingunderlyingurbanlogisticsfactorsinolddowntownofcordobaargentina
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