电动滑板车已成为城市短途出行的重要微型交通方式，但关于其路径选择行为的实证研究仍较为有限。本研究利用GPS轨迹数据和路径规模Logit（Path Size Logit）模型，分析华盛顿特区的电动滑板车路径选择行为。除道路及基础设施特征外，该模型还纳入了通过计算机视觉技术从Google街景图像中提取的视觉街道景观特征。结果表明，自行车道设施的有效性高度依赖于道路等级：在主干道上，仅受保护式自行车道能显著提升路径吸引力；而在支路上，受保护式车道与标线式车道均能带来效用增益。人行道是最常被使用的骑行环境，但仅有沥青铺装的人行道与正向效用相关，提示人行道骑行可能更多反映的是缺乏更具吸引力的路内替代路径，而非对行人基础设施本身的偏好。树荫覆盖率（尤其在夏季）以及建筑与墙体覆盖率均与路径选择呈正相关。似然比检验与距离价值分析表明，道路基础设施对路径选择的影响强于视觉街道景观特征，但后者仍提供额外的解释力。上述发现支持开展有针对性的基础设施投资，并将街道景观改善作为提升微型交通路径吸引力的补充策略。

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.