Last mile

While we reduce the impacts of people displacements through the implementation of collective mobility systems, the mobility of things is strongly increasing due to the rise of e-commerce, estimated at 25% per year.

We need to know the numbers with better detail. How many packages are sent in Barcelona? Who request them? Where is the origin? Thanks to a bunch of data from , , , ,  we have made a predictive model to:

1 / define who generates the delivery demand in the city and measure the number of vehicles associated with it: offices (yellow), e-commerce (magenta), commerce (cyan).

2 / define how many packages are delivered in each street and how many deliveries failed (because the receiver was not at home, approx. 20% average) according to age and employment.

3 / define how to size a consolidation center for the distribution of goods and define its scope area.

4 / deploy throughout the city a network of consolidation centers that concentrate the deliveries from which bicycles or other 0 emissions vehicles will be sent to their final destination.

5 / quantify how many routes we have reduced with the implementation of this model.

6 / how it impacts on traffic intensity at city gates and on internal roads.

The project has been developed within the framework of the Data City challenge, promoted by the Barcelona City Council and Numa in collaboration with Ferrovial.

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Posted in featured, ifabric, spatialities