AI 中文总结
本研究以华盛顿特区电动滑板车为对象，用GPS数据和Path Size Logit模型，发现道路基础设施对其路径选择影响强于街景，提出针对性投资与街景改善的微出行优化策略。
AI 中文摘要
电动滑板车已成为城市短途出行的重要微出行方式，但关于其路径选择行为的证据仍然有限。本研究利用GPS轨迹数据和路径规模Logit模型，对华盛顿特区的电动滑板车路径选择展开研究。除道路与基础设施特征外，该模型还纳入了通过计算机视觉技术从谷歌街景图像中提取的视觉街景特征。结果表明，骑行基础设施的有效性高度依赖于道路环境：在主干道上，仅专用自行车设施能显著提升路径吸引力；而在次路上，专用设施与划定车道均能带来效用增益。人行道是最常被使用的骑行环境，但仅沥青铺设的人行道与正效用相关，这表明人行道骑行可能反映缺乏有吸引力的路边替代选项，而非对步行基础设施的偏好。树木覆盖（尤其夏季）以及建筑与墙体覆盖均与路径选择呈正相关。似然比检验与距离价值分析显示，道路基础设施对路径选择的影响强于视觉街景特征，尽管后者具备额外的解释力。这些发现支持针对性的基础设施投资，并主张将街景改善作为补充策略，以提升微出行的路径吸引力。
英文摘要
E-scooters have emerged as an important micromobility mode for short urban trips, yet evidence on route choice behavior remains limited. This study examines e-scooter route choice in Washington, DC using GPS trajectory data and a Path Size Logit model. In addition to roadway and infrastructure characteristics, the model incorporates visual streetscape features extracted from Google Street View imagery using computer vision techniques. The results show that the effectiveness of cycling infrastructure depends strongly on roadway context. On major roads, only protected bicycle facilities significantly increase route attractiveness, whereas on minor roads both protected and designated lanes provide utility gains. Sidewalks constitute the most frequently used riding environment, yet only asphalt-paved sidewalks are associated with positive utility, suggesting that sidewalk riding may reflect the absence of attractive on-street alternatives rather than a preference for pedestrian infrastructure. Tree coverage, particularly during summer, as well as building and wall coverage, are positively associated with route choice. Likelihood ratio tests and value-of-distance analysis indicate that roadway infrastructure exerts a stronger influence on route choice than visual streetscape features, although the latter provide additional explanatory power. These findings support targeted infrastructure investment and the integration of streetscape improvements as a complementary strategy for enhancing micromobility route attractiveness.
