Autonomous driving technologies (ADTs) are transformative because they are expected to assume the task of driving. Since travel distance is closely related to the burden of driving, it is expected to affect the ADT preference; however, this effect has not been investigated in the transportation literature. Therefore, this study is designed to investigate the ADT preference and heterogeneity with respect to different travel distances. Hypothetical choice situations were designed to investigate people's ADT preferences over human driving for varying travel distances. Using the stated preference data collected via the experiments, four latent class models were estimated for heterogeneity across classes and travel distances. The estimation results show that three classes, we labeled as competitive, autonomous vehicle oriented, human-driven vehicle oriented, are revealed by the ADT preference, regardless of the travel distance. In addition, in-vehicle activities in hypothetical autonomous driving situations were observed across all the classes and travel distances.

自动驾驶技术 (ADT) 具有变革性，因为它们有望承担驾驶任务。由于行驶距离与驾驶负担密切相关，因此预计会影响ADT的偏好；然而，这种影响尚未在交通文献中进行研究。因此，本研究旨在调查不同旅行距离的 ADT 偏好和异质性。假设选择情况旨在调查人们在不同旅行距离下对人类驾驶的 ADT 偏好。使用通过实验收集的陈述的偏好数据，估计了四个潜在类别模型的跨类别和旅行距离的异质性。估计结果表明，我们标记为竞争性的、面向自动驾驶汽车的三个类别，以人类驾驶的车辆为导向，无论行驶距离如何，都由 ADT 偏好显示。此外，在所有类别和行驶距离中都观察到了假设自动驾驶情况下的车内活动。