Characterization of homogeneous zones and identification of underlying factors in the configuration of the Urban Logistics in the Last Mile of the city of Córdoba, Argentina.

Boston

Congreso; 2018 Latin America Scale; 2017

MIT Center of Transportation and Logistics

Cities have different characteristics, and policy measures applied in different urban areas can only result in different associated impacts (Alho, 2015). The purpose of this paper is to apply a data-driven methodology to identify clusters to guide Córdoba?s urban logistics policy and best practice decisions. This work constitutes a first experience of classification of homogeneous areas with these methodologies and is limited to a sector of one square kilometre, in the neuralgic centre of the city, completely inside the restriction zone for heavy vehicles. The methodology uses relevant variables for urban logistics - number of establishments, traffic lights, buildings, parcels and location inside the km2 area - to perform two statistical analysis: Factor and Analysis of Variance (ANOVA). The work is not yet finished, but the preliminary results suggest a clear relationship between the different commercial activities and the location inside the area, as a basis for further urban logistic analyses and implementation of best practices.