Thông tin tài liệu
Nhan đề : | Blind classification of e-scooter trips according to their relationship with public transport |
Tác giả : | Juan José Vinagre, Díaz Rubén Fernández, Pozo Ana Belén Rodríguez, González |
Năm xuất bản : | 2023 |
Nhà xuất bản : | Springer |
Tóm tắt : | 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. |
Mô tả: | 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 |
Bộ sưu tập | OER - Kinh tế và Quản lý |
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