Schumann Hans-Heinrich, Haitao He, Meister Adrian, Natapov Asya, Quddus Mohammed
School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough, UK.
Institute for Transport Planning and Systems (IVT), ETH Zurich, Zurich, Switzerland.
Sci Rep. 2025 Jul 7;15(1):24175. doi: 10.1038/s41598-025-06938-2.
Shared e-scooter use has rapidly expanded in major cities worldwide, offering promising solutions for sustainable transport and new data sources to advance the science of cities. This study leverages a city-scale GPS dataset of 14,029 e-scooter trips recorded over a three-month period in 2021 within the Mannheim/Ludwigshafen metropolitan area in Germany. For the first time, our analysis integrates the discrete choice modelling framework with space syntax theory using such large-scale revealed preference data, uncovering new insights into the impact of spatial configuration on routing behaviour. The results highlight the significant role of spatial configuration in e-scooter routing, with space syntax metrics consistently improving model performance and suggesting that riders avoid both places that are not well-integrated on a regional and highly accessible on a local level. Results also reveal that dedicated bicycle infrastructure, including bike lanes and tracks, reduces perceived travel distance by over 51% for e-scooter riders. Additionally, riders exhibit context-dependent behaviour, favouring pedestrian spaces during busy weekdays while avoiding them at other times. These insights can guide policymakers in designing micro-mobility-friendly urban environments.
共享电动滑板车在全球主要城市迅速普及，为可持续交通提供了可行的解决方案，并为城市科学的发展提供了新的数据来源。本研究利用了德国曼海姆/路德维希港大都市区2021年三个月内记录的14029次电动滑板车出行的城市规模GPS数据集。我们的分析首次将离散选择建模框架与空间句法理论相结合，使用如此大规模的显示性偏好数据，揭示了空间配置对出行行为影响的新见解。结果突出了空间配置在电动滑板车出行路线选择中的重要作用，空间句法指标持续提升模型性能，并表明骑行者会避开区域整合性不佳且局部可达性高的地方。结果还显示，包括自行车道和轨道在内的专用自行车基础设施，可使电动滑板车骑行者感知到的出行距离减少超过51%。此外，骑行者表现出与环境相关的行为，在工作日繁忙时段偏爱行人空间，而在其他时间则避开。这些见解可为政策制定者设计有利于微出行的城市环境提供指导。
