This paper investigates factors affecting people’s preferences for shared micromobility when autonomous technology is available. Using combined stated and revealed preference data from an online choice experiment, focusing on vehicle availability, bike infrastructure, and first and last mile connection to transit, this study is one of the first explorations on the intersection of shared micromobility and autonomous technology. Results from a mixed logit mode choice model suggest that access and drop off walking time have higher disutility than micromobility riding time, and autonomous technology that allows riders to summon a micromobility vehicle has the potential to reduce that disutility. Model results also confirm that whether people choose to use micromobility modes depends strongly on bike lane coverage of the trip they are making. While there are still many uncertainties and concerns about autonomous technology, this study can serve as the foundation for analyzing autonomous shared micromobility demand and providing broader implications for service providers, transportation planners, and policy makers to define business models, design and implement infrastructure, and regulate system operations.

本文研究了当自主技术可用时影响人们对共享微移动偏好的因素。这项研究利用在线选择实验中综合陈述和披露的偏好数据，重点关注车辆可用性、自行车基础设施以及第一英里和最后一英里与公共交通的连接，是对共享微移动和自主技术交叉点的首次探索之一。混合 Logit 模式选择模型的结果表明，进出步行时间比微型移动出行时间具有更高的负效用，而允许乘客召唤微型移动车辆的自主技术有可能减少这种负效用。模型结果还证实，人们是否选择使用微出行模式在很大程度上取决于他们出行的自行车道覆盖范围。尽管自动驾驶技术仍然存在许多不确定性和担忧，但这项研究可以作为分析自动共享微移动需求的基础，并为服务提供商、交通规划者和政策制定者定义商业模式、设计和实施基础设施以及提供更广泛的影响。规范系统运行。