Bike and e-scooter sharing schemes are an emerging addition to modern urban mobility systems. The research aims to identify the mobility and sociodemographic user profile of bike and e-scooter sharing and understand the key determinants of people’s intention to use these modes in the future.To consider the effect of local context on shared micromobility usage, the study exploited survey data (N = 1607)thatwerecollectedin three European urban areas (Brussels, Munich, and Vienna). The obtained dataset provided information on respondents’ socioeconomic characteristics, mobility capabilities and preferences, including travel frequency by bike and e-scooter sharing services. The survey also collected information on respondents’ likelihood of travelling by shared micromobilityin the future.The profile of current users was revealedby conducting a Latent Class Analysis (LCA). The measurement and membership LCA models were estimated based on the mobility and sociodemographic data, respectively. The three-class LCA model uncovered that shared micromobility usersaremostlymembers ofthe so-called “Mobility chameleons” population group whereas few users belong to the “Car lovers” and the “Public transport fans” classes. Mobility chameleonstravel by private, public, and shared modes, as well as by both motorized and active modes.Males,with medium and high income, who own a smartphone, dominate this group. Although mobility chameleons are present in all study areas, their share in the population varies. Regarding potential future usage, people’s willingness to travel by shared micromobility in the future is much higher than the present usage levels captured. Modelling the potential demand revealed that while many factors similarly influence the likelihood of travelling by bike and e-scooter sharing, the significance and strength of the effects vary for the two modes. The present research findings provide relevant input for modelling as well as predicting shared micromobility usage.

中文翻译：

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移动变色龙：共享微移动的当前和潜在用户


自行车和电动滑板车共享计划是现代城市交通系统的新兴补充。该研究旨在确定自行车和电动滑板车共享的移动性和社会人口学用户概况，并了解人们未来打算使用这些模式的关键决定因素。为了考虑当地环境对共享微出行使用的影响，该研究利用了在三个欧洲城市地区（布鲁塞尔、慕尼黑和维也纳）收集的调查数据 （N = 1607）。获得的数据集提供了有关受访者的社会经济特征、出行能力和偏好的信息，包括自行车和电动滑板车共享服务的出行频率。该调查还收集了受访者未来乘坐共享微出行的可能性的信息。通过进行潜在类别分析 （LCA） 来揭示当前用户的概况。测量和成员 LCA 模型分别根据流动性和社会人口统计数据进行估计。三类 LCA 模型发现，共享微出行用户大多是所谓的“移动变色龙”人群的成员，而很少有用户属于“汽车爱好者”和“公共交通爱好者”类别。移动变色龙通过私人、公共和共享模式以及机动和主动模式旅行。拥有智能手机的中高收入男性在这一群体中占主导地位。尽管所有研究区域都存在移动变色龙，但它们在种群中所占的份额各不相同。关于未来的潜在使用情况，人们未来乘坐共享微出行的意愿远高于目前捕获的使用水平。 对潜在需求进行建模表明，虽然许多因素同样影响骑自行车和电动滑板车共享出行的可能性，但这两种模式的影响意义和强度各不相同。目前的研究结果为建模和预测共享微出行的使用提供了相关输入。