Item Infomation


Title: 
Blind classification of e-scooter trips according to their relationship with public transport
Authors: 
Juan José Vinagre, Díaz
Rubén Fernández, Pozo
Ana Belén Rodríguez, González
Issue Date: 
2023
Publisher: 
Springer
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.
Description: 
CC BY
Gov't Doc #: 
https://link.springer.com/article/10.1007/s11116-023-10382-4
URI: 
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7837
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