Micro-mobility transport modes like e-bikes and e-scooters promise higher flexibility when covering the first/last mile trip from/to the public transport stop/station to the destination point and vice-versa. However, safety concerns about riding a micro vehicle in mixed traffic limit the flexibility of shared mobility modes and make conventional ones still more attractive, e.g., private car and walking. This study investigates the effect of perceived safety in first/last mile mode choice by conducting an image-based double stated preference experiment targeted at potential micro-mobility users and developing ordinal and mixed logistic regression models. The Value-of-Safety (VoS) is introduced. It refers to the additional distance a user is willing to exchange to avoid an unsafe path. Main findings show that shared space can be a middle-ground solution, as it reports lower heterogeneity among individuals in terms of safety perceptions. The intensive use of e-scooters in mixed-traffic decreases the perceived safety of pedestrians, while e-bikers are threatened by the existence of heavy motorized traffic. Low mean VoS is also reported for e-scooters, demonstrating the unwillingness of potential micro-mobility service users to either detour or use this micro vehicle. The mean VoS of the e-bike is estimated as almost equal to that of the private car. It could be, hence, concluded that perceived safety can systematically explain the unobserved disutility of e-bikes.

电动自行车和电动滑板车等微型交通运输方式在覆盖从公共交通站点/车站到目的地的第一英里/最后一英里行程时具有更高的灵活性，反之亦然。然而，在混合交通中乘坐微型车辆的安全问题限制了共享出行方式的灵活性，并使私家车和步行等传统出行方式更具吸引力。本研究通过针对潜在的微移动用户进行基于图像的双重偏好实验并开发序数和混合逻辑回归模型，研究了感知安全对第一英里/最后一英里模式选择的影响。引入了安全值 (VoS)。它是指用户愿意交换以避免不安全路径的额外距离。主要研究结果表明，共享空间可以成为一种中间解决方案，因为它报告了个体在安全认知方面的异质性较低。电动滑板车在混合交通中的大量使用降低了行人的安全感，而电动自行车则受到繁忙机动交通的威胁。据报道，电动滑板车的平均 VoS 也较低，这表明潜在的微型移动服务用户不愿意绕道或使用这种微型车辆。据估计，电动自行车的平均 VoS 几乎等于私家车的平均 VoS。因此，可以得出这样的结论：感知的安全性可以系统地解释电动自行车未被观察到的弊端。