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

Conferencia; 2018 MIT SCALE Latin America Conference; 2018

Massachusetts Institute of Technology

Cities have different characteristics; in consequence, they use distinct policy measures that bring different associated impacts (Alho, 2015). The purpose of this paper is to apply a data-driven methodology to identify clusters to build Cordoba?s urban logistics policy and best practice decisions. This work constitutes a first experience of classification of homogeneous areas with these methodologies and it is limited to a square kilometer, in the neuralgic center of the city, completely inside the restriction zone for heavy-duty 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). 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.