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Analyzing last mile delivery operations in barcelona’s urban freight transport network
KTH, School of Electrical Engineering and Computer Science (EECS), Software and Computer systems, SCS.ORCID iD: 0000-0002-7153-6705
2018 (English)In: 2nd EAI International Conference on ICT Infrastructures and Services for Smart Cities, IISSC 2017 and 2nd International Conference on Cloud, Networking for IoT systems, CN4IoT 2017, Springer Verlag , 2018, p. 13-22Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Verlag , 2018. p. 13-22
Keywords [en]
AreaDUM, Clustering, Partitioning Around Medoids, Smart City, Urban freight, User behavior, Behavioral research, Internet of things, Urban transportation, Vehicles, User behaviors, Freight transportation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-227100DOI: 10.1007/978-3-319-67636-4_2Scopus ID: 2-s2.0-85034064488ISBN: 9783319676357 OAI: oai:DiVA.org:kth-227100DiVA, id: diva2:1205948
Conference
20 April 2017 through 21 April 2017
Note

QC 20180515

Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-05-15Bibliographically approved

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Mrazovic, Petar

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf