Díaz, Juan José Vinagre;
Pozo, Rubén Fernández;
González, Ana Belén Rodríguez;
Wilby, Mark Richard;
Anvari, Bani;
(2023)
Blind classification of e-scooter trips according to their relationship with public transport.
Transportation
10.1007/s11116-023-10382-4.
(In press).
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Abstract
E-scooter services have multiplied worldwide as a form of urban transport. Their use has grown so quickly that policymakers and researchers still need to understand their interrelation with other transport modes. At present, e-scooter services are primarily seen as a first-and-last-mile solution for public transport. However, we demonstrate that 50% of e-scooter trips are either substituting it or covering areas with little public transportation infrastructure. To this end, we have developed a novel data-driven methodology that autonomously classifies e-scooter trips according to their relation to public transit. Instead of predefined design criteria, the blind nature of our approach extracts the city’s intrinsic parameters from real data. We applied this methodology to Rome (Italy), and our findings reveal that e-scooters provide specific mobility solutions in areas with particular needs. Thus, we believe that the proposed methodology will contribute to the understanding of e-scooter services as part of shared urban mobility.
| Type: | Article |
|---|---|
| Title: | Blind classification of e-scooter trips according to their relationship with public transport |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s11116-023-10382-4 |
| Publisher version: | https://doi.org/10.1007/s11116-023-10382-4 |
| Language: | English |
| Additional information: | © 2023 The Authors. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Micromobility, Electric scooter, Rome, Public transit, Autonomous clustering |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10168026 |
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