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

• Autores: Hidalgo Carvajal, David; Heckmann, Gerardo Oscar; Vega, Juan José
• Año de publicación: 2021
• Idioma: inglés
• Tipo de recurso: parte de libro
• Materia: City logistics; Statistical analysis; Last mile deliveries; Clustering; Mid-sized city; Emerging markets
• Institución: Universidad Nacional de Córdoba

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.
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