Research Article
Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study
@INPROCEEDINGS{10.1007/978-3-031-30855-0_2, author={Bruno Gil and Vit\^{o}ria Albuquerque and Miguel Sales Dias and Rui Abranches and Manuel Ogando}, title={Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study}, proceedings={Intelligent Transport Systems. 6th EAI International Conference, INTSYS 2022, Lisbon, Portugal, December 15-16, 2022, Proceedings}, proceedings_a={INTSYS}, year={2023}, month={4}, keywords={e-cargo bikes micro-hub K-Means last-mile logistics}, doi={10.1007/978-3-031-30855-0_2} }- Bruno Gil
Vitória Albuquerque
Miguel Sales Dias
Rui Abranches
Manuel Ogando
Year: 2023
Data Driven Spatiotemporal Analysis of e-Cargo Bike Network in Lisbon and Its Expansion: The Yoob Case Study
INTSYS
Springer
DOI: 10.1007/978-3-031-30855-0_2
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.
