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 language | English |
---|---|
Title of host publication | Intelligent Transport Systems |
Subtitle of host publication | 6th EAI International Conference, INTSYS 2022 Lisbon, Portugal, December 15–16, 2022 Proceedings |
Editors | Ana Lucia Martins, João C. Ferreira, Alexander Kocian, Ulpan Tokkozhina |
Place of Publication | Gewerbestrasse, Cham, Switzerland |
Publisher | Springer Science and Business Media Deutschland GmbH |
Chapter | 2 |
Pages | 23-39 |
Number of pages | 18 |
ISBN (Electronic) | 978-3-031-30855-0 |
ISBN (Print) | 978-3-031-30854-3 |
DOIs | |
Publication status | Published - 1 May 2023 |
Event | 6th International Conference on Intelligent Transport Systems, INTSYS 2022 - ISCTE - Instituto Universitário de Lisboa, Lisbon, Portugal Duration: 15 Dec 2022 → 16 Dec 2022 Conference number: 6 https://futuretransport.eai-conferences.org/2022/ |
Publication series
Name | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
---|---|
Publisher | Springer |
Volume | 486 LNICST |
ISSN (Print) | 1867-8211 |
ISSN (Electronic) | 1867-822X |
Conference
Conference | 6th International Conference on Intelligent Transport Systems, INTSYS 2022 |
---|---|
Abbreviated title | INTSYS 2022 |
Country/Territory | Portugal |
City | Lisbon |
Period | 15/12/22 → 16/12/22 |
Internet address |
Keywords
- e-cargo bikes
- micro-hub
- K-Means
- last-mile logistics