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2018 | OriginalPaper | Chapter

Analyzing Last Mile Delivery Operations in Barcelona’s Urban Freight Transport Network

Authors : Burcu Kolbay, Petar Mrazovic, Josep Llus Larriba-Pey

Published in: Cloud Infrastructures, Services, and IoT Systems for Smart Cities

Publisher: Springer International Publishing

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Abstract

Barcelona has recently started a new strategy to control and understand Last Mile Delivery, AreaDUM. The strategy is to provide freight delivery vehicle drivers with a mobile app that has to be used every time their vehicle is parked in one of the designated AreaDUM surface parking spaces in the streets of the city. This provides a significant amount of data about the activity of the freight delivery vehicles, their patterns, the occupancy of the spaces, etc.
In this paper, we provide a preliminary set of analytics preceded by the procedures employed for the cleansing of the dataset. During the analysis we show that some data blur the results and using a simple strategy to detect when a vehicle parks repeatedly in close-by parking slots, we are able to obtain different, yet more reliable results. In our paper, we show that this behavior is common among users with \(80\%\) prevalence. We conclude that we need to analyse and understand the user behaviors further with the purpose of providing predictive algorithms to find parking lots and smart routing algorithms to minimize traffic.

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Footnotes
1
The authors want to thank B:SM and, in particular the Innovation team, leaded by Carlos Morillo and Oscar Puigdollers for their support in this paper.
 
2
A medoid is a representative object of a dataset or a cluster with a data set whose average dissimilarity to all the objects in the cluster is minimal.
 
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Metadata
Title
Analyzing Last Mile Delivery Operations in Barcelona’s Urban Freight Transport Network
Authors
Burcu Kolbay
Petar Mrazovic
Josep Llus Larriba-Pey
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-67636-4_2

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