Vinagre Díaz Juan José, Fernández Pozo Rubén, Rodríguez González Ana Belén, Wilby Mark Richard, Anvari Bani
Department of Mathematics Applied to Information and Communication Technologies, Universidad Politécnica de Madrid, Avda. Complutense, 30, 28040 Madrid, Spain.
Centre for Transport Studies, Department of Civil, Environmental and Geomatic Engineering, University College London, WC1E 6BT London, UK.
Transportation (Amst). 2023 Mar 16:1-22. doi: 10.1007/s11116-023-10382-4.
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 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.
电动滑板车服务作为一种城市交通形式在全球范围内迅速增加。其使用增长如此之快，以至于政策制定者和研究人员仍需了解它们与其他交通方式的相互关系。目前，电动滑板车服务主要被视为公共交通的首末段解决方案。然而，我们证明，电动滑板车出行中有相当一部分要么是在替代公共交通，要么是在公共交通基础设施薄弱的地区行驶。为此，我们开发了一种全新的数据驱动方法，可根据电动滑板车出行与公共交通的关系自动对其进行分类。与预定义的设计标准不同，我们方法的盲目性从实际数据中提取了城市的内在参数。我们将此方法应用于罗马（意大利），我们的研究结果表明，电动滑板车在有特定需求的地区提供了特定的出行解决方案。因此，我们相信所提出的方法将有助于将电动滑板车服务理解为共享城市出行的一部分。
