The emergence and growing popularity of e-scooters has created the need for researchers, policy-makers and urban planners to better understand user behaviors and travel patterns. In this paper, we examine the spatiotemporal patterns of e-scooter trips in 4 European cities: Paris, Malaga, Bordeaux, and Hamburg. We use a GPS dataset which includes position coordinates crossed with the country of registration of the user's bank card. Results suggest that riding frequencies and vehicle rotation are low and seem to be correlated. Average trip distance shows low variability and is of approximately 4.5 miles, while average trip duration is of 12 min. Tourists are major free-floating e-scooter users, ride during daytime, over longer distances, but at lower speeds. In all cities, the peak hour is observed in the afternoon (between 3 and 5 pm). Downtown, waterfront areas and availability of soft mobility infrastructure attract users. Usage is following relatively predictable patterns, especially when used for commuting.

电动滑板车的出现和日益普及使得研究人员、政策制定者和城市规划者需要更好地了解用户行为和出行方式。在本文中，我们研究了 4 个欧洲城市的电动滑板车旅行的时空模式：巴黎、马拉加、波尔多和汉堡。我们使用 GPS 数据集，其中包括与用户银行卡注册国家交叉的位置坐标。结果表明，骑行频率和车辆轮换率很低，并且似乎相关。平均行程距离显示出较低的可变性，约为 4.5 英里，而平均行程持续时间为 12 分钟。游客是主要的自由浮动电动滑板车用户，白天骑行，距离更长，但速度更低。在所有城市，高峰时间都在下午（下午 3 点到 5 点之间）。市中心，滨水区和软移动基础设施的可用性吸引了用户。使用遵循相对可预测的模式，尤其是在用于通勤时。