Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study

Bruno Gil, Vitoria Albuquerque, Miguel Sales Dias, Rui Abranches, Manuel Ogando

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The adoption of more environmentally friendly and sustainable fleets for last-mile parcel delivery within large urban centers, such as e-cargo bikes, has gained the interest of the community. The logistics infrastructure network, had to adapt to the requirements of this new type of fleet, and micro-hubs and nano-hubs emerged. In this paper we tackle spatiotemporal characterization of e-cargo bike fleet behavior, by conducting a data centered case study where we explore data from Yoob, a last mile delivery e-cargo bike logistics startup that operates in the Lisbon area and outskirts. We also address the identification of potential expansion locations to the establishment of new hubs. Our data was collected during a 4-month period (January to April 2022). By adopting state-of-the-art data science and machine learning techniques, and following the CRIPS-DM data mining method, our innovative approach discovered five clusters that are able to characterize the Yoob fleet, with variations in distances traveled, times, transported volumes and speeds. In the perspective of expanding Yoob’s e-cargo bike network, three new locations in Lisbon were signaled for potential new hub installation. To the authors knowledge this is the first study of this kind carried in Portugal, bringing new insights in the field of last-mile logistics.
Original languageEnglish
Title of host publicationIntelligent Transport Systems
Subtitle of host publication6th EAI International Conference, INTSYS 2022 Lisbon, Portugal, December 15–16, 2022 Proceedings
EditorsAna Lucia Martins, João C. Ferreira, Alexander Kocian, Ulpan Tokkozhina
Place of PublicationGewerbestrasse, Cham, Switzerland
PublisherSpringer Science and Business Media Deutschland GmbH
Chapter2
Pages23-39
Number of pages18
ISBN (Electronic)978-3-031-30855-0
ISBN (Print)978-3-031-30854-3
DOIs
Publication statusPublished - 1 May 2023
Event 6th International Conference on Intelligent Transport Systems, INTSYS 2022 - ISCTE - Instituto Universitário de Lisboa, Lisbon, Portugal
Duration: 15 Dec 202216 Dec 2022
Conference number: 6
https://futuretransport.eai-conferences.org/2022/

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
PublisherSpringer
Volume486 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference 6th International Conference on Intelligent Transport Systems, INTSYS 2022
Abbreviated titleINTSYS 2022
Country/TerritoryPortugal
CityLisbon
Period15/12/2216/12/22
Internet address

Keywords

  • e-cargo bikes
  • micro-hub
  • K-Means
  • last-mile logistics

Fingerprint

Dive into the research topics of 'Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study'. Together they form a unique fingerprint.

Cite this